Decisions Now

In this episode of Decisions Now, host Erin Pearson sits down with Phil Wu, CEO of NXT Chapter International, to explore how Agentic AI is transforming logistics, market research, and enterprise decision-making.Discover how AI-powered automation is transforming transportation and compliance workflows, enabling businesses to adapt beyond agility. Learn how agentic AI enhances customer service, streamlines surveys, and optimizes business frameworks for faster and smarter decisions.

In this episode of Decisions Now, we sit down with Ladle Patel, Senior Advisor of AI and the ML Factor at Arab National Bank, to uncover what it really takes to scale AI in the banking sector—and no, it’s not about following the latest tech buzz.Join Ladle and host Erin as they explore:Why AI use cases must be tailored to specific business verticalsHow to prioritize AI initiatives using strategic alignment, value, and feasibility as key filtersThe importance of rapid prototyping with open-source toolsHow Saudi Arabia’s Vision 2030 is shaping a thriving AI innovation ecosystemWhat the rise of autonomous agents could mean for the future of banking🎧 Tune in for practical insights, regional context, and future-focused strategies from one of the region’s top AI leaders.

In this episode of Decisions Now, host Erin Pearson sits down with Manish Bhargava, Vice President of Sales at Dexon Digital Storage, to explore how global sales strategies are evolving, and what it really takes to build meaningful business relationships across cultures.With over 25 years of experience spanning India, the UAE, Australia, and the US, Manish shares lessons from navigating different cultural norms, adapting sales strategies across borders, and leveraging competitive intelligence to break into new markets.Listen now and explore more episodes.

In this episode of Decisions Now, host Erin Pearson speaks with Aleksandar Ruzic about how value-based healthcare, patient-centric design, and data science are reshaping commercial strategies in life sciences. Aleks shares powerful real-world examples from rare diseases, obesity treatments, and global market launches, revealing how integrating value metrics into R&D, regulatory planning, and go-to-market execution leads to smarter decisions and sustainable growth. Subscribe now to stay ahead of emerging trends in healthcare and beyond. 

In this episode of Decisions Now, host Erin Pearson speaks with Dan Thunberg, VP of Marketing Strategy at Watts Water Technologies, about how sustainability is reshaping innovation and decision-making in the industrial sector.Learn how the concept of handprint is changing the value proposition, why LCAs and EPDs matter, and how to align ESG efforts with both business success and environmental accountability. Ideal for sustainability professionals, product strategists, and B2B leaders looking to make a real impact.Listen now and discover how to design for sustainability.#Sustainability #B2BMarketing #ProductInnovation #ESG #WattsWater #DecisionsNow #IndustrialStrategy #LifecycleAssessment #EnvironmentalImpact

Is pharma ready for the AI revolution?In this episode of Decisions Now, Erin Pearson talks to Vijay Chand, Head of Transformation at Alexion, about how data is powering faster drug development, better patient care, and strategic decisions across life sciences.Vijay shares:What’s broken in traditional data modelsHow to lead large-scale transformation in pharmaThe power of real-time, personalized medicine🎧 A compelling roadmap for anyone in healthcare, data, or innovation.

In this episode of Decisions Now, Erin Pearson sits down with Jeff Jin, an expert in shared services and digital transformation. Jeff shares how organizations can optimize their centralized service models to achieve operational excellence, innovation, and strategic value.  Covering the importance of standardization, smart technology adoption, global service hubs, and fostering a culture of continuous improvement, Jeff provides actionable insights for business leaders looking to future-proof their operations. 

How AI Is Transforming Market ResearchWelcome to Decisions Now, the podcast by Evalueserve where data meets decision-making. In this episode, host Erin Pearson sits down with Melanie Courtright, CEO of the Insights Association, to dive deep into how AI, data evolution, and shifting business needs are redefining the insights and analytics landscape.With over 25 years of experience, Melanie shares:The real transformation behind the AI buzz, the explosion of data volume, types, and usageWhy market research is no longer just about surveys but about integrating behavioral, attitudinal, and conversational dataThe truth about data quality challenges and the fight against "price-first" decisionsWhy growth in insights is slowing post-COVID and the opportunities that lie aheadThe rise of the tech-savvy insights professional: why you must be data-literate, privacy-literate, and tech fluent to thriveHow brands and vendors must rethink their partnerships to cut through the noise and drive real business impactThe secret power of experimentation budgets and how innovators are using them to growThis episode unpacks insights on how to future-proof your strategy in this noisy, tech-driven world.

How can businesses stay agile in the face of global trade disruptions? In this episode, Dr. Rob Handfield shares expert insights on building resilient supply chains, navigating tariffs, and preparing for the unexpected with smart strategies and stress testing.

Scaling for Real ROIIn this episode of Decisions Now, host Erin Pearson sits down with Charlie Render, managing partner at Render Analytics, to discuss how businesses are finally moving past the experimental phase of generative AI.💡 Key Topics Covered:Overcoming pilot stage and scaling AI implementationThe importance of ROI, customer satisfaction, and executive buy-inThe four-step process to identify and prioritize AI use cases - Measuring success beyond efficiency metricsThe future of AI in data analytics and decision-makingCharlie Render is the founder and managing partner of Render Analytics, specializing in AI and data analytics. He shares expert insights on overcoming AI adoption challenges, scaling AI for real ROI, and optimizing business decision-making through data-driven strategies.📌 Don’t forget to like, comment, and subscribe for future AI insights! 

As AI and smart technology transform the energy sector, how can businesses ensure that innovation aligns with consumer trust and fairness? In this episode of Decisions Now, host Erin Pearson is joined by Marine Cornelis, a leading expert in energy transition and consumer protection, to explore the delicate balance between technical advancements and human-centered approaches in the future of energy.They discuss how AI and digital tools enhance energy access and efficiency, tackle consumer hesitation in adopting sustainable energy, and highlight the importance of trust, transparency, and accountability in the energy transition. They discuss why companies must actively engage and educate consumers for real impact.Marine Cornelis, Founder & Executive Director of Next Energy Consumer, leads efforts to ensure energy transitions are fair, inclusive, and people-centered.

How is AI transforming strategic marketing in the power industry?In this episode of Decisions Now, Erin Pearson sits down with Jim Donohue, a former marketing executive, to explore how AI is revolutionizing data analysis, market forecasting, and commercialization in power generation. They discuss the challenges of data overload, AI’s ability to streamline insights, the resurgence of nuclear power, and the need for human validation in AI-driven strategies.With over 40 years in the industry, Jim shares expert insights on aligning innovation with evolving market needs.

AI is changing the way we communicate about health.Erin Pearson speaks with Dr. Amelia Burke-Garcia and Dr. Rebecca Soskin-Hicks about the rise of AI-powered chatbots, the role of digital opinion leaders, and how AI can balance accuracy, empathy, and personalization in healthcare.Amelia, Rebeca and Erin discussHow AI can combat misinformation, scale health education, and bridge the gap between institutional expertise and accessible, patient-centered communication.Social media influencers shaping health decisions AI vs. human empathy in patient communicationThe paradox of AI adoption in public healthThe risks of AI-driven misinformation & how to prevent themDr. Amelia Burke-Garcia is a health communication expert specializing in digital strategy and AI-driven public health messaging.Dr. Rebecca Soskin-Hicks is a Stanford-trained pediatrician focused on AI’s role in healthcare communication and misinformation prevention.Together, they explore how AI can enhance empathy, scale health education, and improve trust in digital health interactions.Subscribe for more insights on AI and business intelligence. #AIinHealthcare #HealthCommunication #AIPoweredChatbots #DigitalHealth #PublicHealth #AIandMisinformation

Erin Pearson sits down with Bill Franks, a leading expert in data science and analytics, to discuss how to create and deliver impactful data-driven presentations. The conversation covers everything from bridging the communication gap between technical and non-technical audiences to using storytelling techniques that make data relatable and actionable.💡Erin and Bill discuss:Bridge the gap by tailoring communication for non-technical audiences.Keys to connecting data with business outcomes.How to enhance engagement by making data relatable.Why rehearsal ensures clarity and confidence in delivery.How to motivate action and leave a lasting impact.Redefining the role of data professionals.Balancing positives and negatives for credibility. Bill Franks is a renowned data science and analytics expert with decades of experience helping organizations turn data into actionable insights. He specializes in simplifying complex data concepts and delivering high-impact presentations that inspire decision-making.

Erin Pearson speaks with Krista St. George, a seasoned business transformation executive, to explore supply chain in the post-COVID era. From navigating supply chain risks to leveraging AI-driven solutions, this insightful conversation is packed with actionable strategies to help businesses build resilient, future-ready operations.💡 Key topics covered:Identifying supply chain risks early: Learn how to map upstream suppliers and uncover vulnerabilities.Smart decision-making with risk matrices: Focus on the risks that matter most to your business.The importance of data-driven insights for accurate, informed decisions.How to leverage AI for predictive performance and transform procurement processes.About Krista St. George:Krista is a recognized leader in business transformation with over 20 years of experience. She has a proven track record in optimizing supply chain management, driving cross-functional collaboration, and promoting product circularity. With a passion for data-driven strategies, Krista helps organizations mitigate risks and embrace sustainable, AI-enhanced solutions to stay ahead in today’s fast-changing environment.

In this episode, Erin Pearson chats with Ananya Ghosh Chowdhury, Senior Cloud Solution Architect at Microsoft, to uncover how generative AI is transforming industries. From AI-driven personalization in retail to AI-powered decision-making in call centers, they explore real-world applications and strategies for building AI-ready teams and enhancing customer experiences.Ananya & Erin discuss:How generative AI is reshaping business decision-making.The role of AI personalization in improving customer satisfaction.Proven strategies for upskilling teams to thrive in an AI-driven future.Best practices for implementing responsible AI and fostering ethical AI innovationAbout our guest:Ananya is a thought leader in AI innovation, with expertise in machine learning, cloud technologies, and data science. She has driven AI transformation in sectors like retail and healthcare by developing advanced AI platforms and scalable solutions.

Erin and Evan explore analytics in the AI era, with a spotlight on the revolutionary impact of large language models like ChatGPT.They discuss the challenges and opportunities of AI-driven analytics, emphasizing how successful strategies require a blend of advanced technology and human intuition.Evan shares compelling real-world examples of how data-driven insights are transforming businesses, showcasing the power of predictive modeling and the often-overlooked importance of causal modeling in crafting effective analytics strategies.This episode offers actionable insights on everything from leveraging AI tools for workflow optimization to the art of simplifying complex data for better decision-making.Key discussion points include:How AI is reshaping the analytics landscape and what it means for businesses.Balancing skepticism and innovation to mitigate risks in AI adoption.Why simplicity and storytelling are essential for driving effective decisions.Best practices for applying tools like ChatGPT thoughtfully and strategically.The future of analytics: a harmonious blend of AI technology and human expertise.About our guest:Evan Wimpey is an experienced analytics professional and stand-up comedian who uses humor to make data science concepts more accessible. His unique approach bridges the gap between technical insights and real-world application, offering a fresh perspective on the future of AI-driven analytics.

How can organizations turn data into their most valuable asset while staying ahead of regulations and leveraging the power of AI? This episode dives into the transformative world of data governance, exploring how it drives smarter decisions, streamlines data management, and aligns with business strategy.Whether you're tackling regulatory hurdles, struggling with data quality, or looking to future-proof your operations with AI, this conversation reveals the secrets to building effective governance frameworks that deliver real impact.💡 Nicola and Erin discuss:Why data quality is the foundation of effective data-driven decision making.How the integration of AI is transforming traditional governance models.The role of data literacy and organizational culture in successful governance adoption.Challenges in balancing sector-specific needs while ensuring robust regulatory compliance.Practical steps to kickstart your data governance journey today.Nicola Askham is a seasoned data professional who sheds light on how organizations can make data governance relatable and engaging for stakeholders, blending it seamlessly into their business strategy.

In this installment, Joëlle Laubner, Business Intelligence Manager at Syngenta, speaks to Erin Pearson, VP of Marketing at Evalueserve, about how the competitive intelligence landscape has already shifted and how AI continues to drive change in the space.Erin and Joëlle discuss:✔️ The evolution of competitive intelligence from labor-intensive, manual processes to a more automated landscape.✔️ The importance of balancing automation and human expertise, or mind and machine.✔️ Tailoring market and competitive intelligence insights and delivery methods based on stakeholder preferences and needs.✔️ Strategies to drive adoption and foster collaboration. Feedback loops are critical in creating and maintaining a dynamic market and competitive intelligence program.✔️ Predictions for where the competitive intelligence field is headed next.📌 Quote from the Episode:📣 "I'm deeply convinced that knowledge within organizations like ours is often underestimated or underused. Before going deep into any project, what we try to do is first look at what's available and at hand internally. Who and where are the subject matter experts? What do they know? How can they help? And those are all very critical and crucial questions." – Joëlle Laubner📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Joëlle Laubner, Business Intelligence Manager at Syngenta

Gordon Chu, the Digital Innovation Manager at Cathay Pacific, and host Erin Pearson have an engaging conversation about creating an innovation culture and democratizing AI within an organization.In this episode, they explore: ✔️ Strategies for upskilling employees and enabling AI adoption.✔️ Changing perceptions of AI and its transformative potential. ✔️ How to foster a culture of transparency, collaboration, and innovation. ✔️ The importance of storytelling to inspire and drive AI adoption. ✔️ Real-world examples and practical advice for AI implementation. 📌 Quote from the Episode:📣 "Ultimately, the technology is not for replacing your entire workflow. But there are definitely spaces in your existing workflow where AI can play a role." – Gordon Chu📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Gordon Chu, Digital Innovation Manager at Cathay Pacific

Like all domains right now, intellectual property (IP) and research & development (R&D) are wrestling with how to apply AI to their work most effectively and what it means for the industry’s future. In this insightful episode, Ashish Bodhankar, IP Strategist Leader at Dow Chemical Company, and Decisions Now host Erin Pearson detail these topics. Ashish and Erin discuss: ✔️ The evolving role of IP management and how technology is influencing it. ✔️ How AI accelerates R&D processes, from formulation design to predictive modeling. ✔️ The importance of starting small, collaborating, and using cross-functional teams when adopting AI strategies.✔️ Common misconceptions about AI, especially concerning job displacement and its ability to enhance human work. 📌 Quote from the Episode:📣 “One of the key challenges is in understanding that this is applicable to our industry. When you look at chemical and material science, people think, ‘What has AI got to do with it? I mean, we're going to make materials, correct? How would a computer make materials? How is this going to be used?’ So, that is one challenge in terms of accepting that this can play a role in the organization or in R&D in particular.” – Ashish Bodhankar📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Ashish Bodhankar, IP Strategist Leader at Dow Chemical Company

In this episode, Erin Pearson welcomes Daniel Helmig, CEO and founder of helmig advisory, as a special guest. With an extensive background in procurement and transformation at companies such as Ford Motor Company, ABB, and PepsiCo, Daniel shares his expertise in supply chain sustainability and greenhouse gas (GHG) emissions reduction.Daniel and Erin discuss topics including: ✔️ Globalization’s impact on GHG emissions. ✔️ The role of CEOs in driving sustainability. ✔️ The importance of modern tools, including AI-enabled products, in advancing supply chain decarbonization efforts. ✔️ Collaborating with suppliers and partners on the net zero journey.📌 Quote from the Episode: 📣 "As long as the CEOs of the companies are not willing to say it will change because of me and I'll do this for my children and for my grandchildren, it's not going to change in the near future." – Daniel Helmig📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Daniel Helmig, CEO and Founder of helmig advisory

Enter the complex world of the battery space and learn how to apply market insights with host Erin Pearson and special guest Raúl Arredondo. Raúl is a seasoned strategy and marketing executive in the battery industry, having worked for Rockwell, Fiat Chrysler Automobiles (now part of Stellantis), and Clarios. In this thought-provoking episode, they discuss: ✔️ The shift to electric vehicles (EVs) and how it’s reshaping the manufacturing process and supply chains in the battery and automotive industries. ✔️ The significance of market insights in shaping strategy. ✔️ Navigating global markets, cultural differences, and governmental policies. ✔️ Team structures and vendor partnerships. ✔️ Predictions for the automotive and battery industries. 📌 Quote from the Episode: 📣 “If you don’t believe what you’re reading, you’re not going to do anything with the data. And that is the worst thing you can do.” – Raúl Arredondo📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Raúl Arredondo, Global Strategy and Marketing Executive and Expert on the Battery Space

Join host Erin Pearson and special guest Justin Berger, Chief Operating Officer at 7 Knots Digital, as they explore the exciting world of AI’s transformative impact on B2B marketing.This thought-provoking episode covers topics including: ✔️ Using generative AI technologies to personalize and target content for account-based marketing and campaign optimization.✔️ The value of AI in repurposing or repositioning content. ✔️ The importance of finding small wins and building confidence on your way to success in integrating AI into your daily work. ✔️ Learning from your peers and your networks. Everyone is experimenting with generative AI, so learn from others and share your own knowledge. 📌 Quote from the Episode:📣 "More often than not, there'll be little nuggets that I like from more than one. I'll say, 'Give me 10 suggestions.' I tend to take it not wholesale but rather take piecemeal, little elements of each of them and plug them together." – Justin Berger📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Justin Berger, Chief Operating Officer at 7 Knots Digital

Dive into the intersecting worlds of data science and fashion retail! In this episode, Vivek Anand, Director of Advanced Analytics at Gap, joins host Erin Pearson to discuss applying data analytics to the retail industry. Gap is a renowned worldwide clothing and accessories retailer. Vivek and Erin delve into a myriad of topics, including: ✔️ The complexities of demand forecasting in the fashion industry. ✔️ Identifying emerging trends using user-generated data such as search queries. ✔️ Vivek's experience in creating innovative, data-efficient, yet highly effective AI-driven pricing models across multiple industries. ✔️ The significance of dynamic pricing strategies and methods to discourage team members from engaging in aggressive price undercutting. ✔️ The need for collaboration across departments. 📌 Quote from the Episode:📣 "People think that, hey, machine learning, AI is coming to replace me. It's taking my job. The idea is to convince or let people see that it's there to make your life easier. You spend most of your time on the most complex problems. If you have vanilla problems, you can just rely on the machine to do it for you. So, it's trying to help you. It's not trying to replace you." – Vivek Anand 📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Vivek Anand, Director of Advanced Analytics at Gap

Sustainability and decarbonization are trending topics across every industry right now. The building industry is no exception, and host Erin Pearson is joined by Mike Loth, Executive Director and General Manager of Specialty Services in Global Sustainable Infrastructure at Johnson Controls, for today’s episode.Johnson Controls is a leading provider of technology and services in energy efficiency, building efficiency, and sustainability spaces. They are renowned for their HVAC, building automation, fire, and security systems.Mike and Erin discuss:✔️ Johnson Controls’ eight-step framework for achieving sustainability goals in buildings.✔️ Voice of the customer research and how important it is to understand what customers want and need.✔️ How Johnson Controls uses the insights it receives from voice of the customer and market research to formulate a strategy regarding new market opportunities.✔️ The first steps businesses should take on their building sustainability journey.📌 Quote from the Episode:📣 “Typically, about 40 percent of the carbon emissions in the world can be traced back to buildings, whether that's the construction of those buildings or the ongoing maintenance of those buildings. And so, to get that 40 percent of carbon emissions down to zero can be a big challenge.” – Mike Loth📌 Speakers in this Episode:🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Mike Loth, Executive Director and General Manager of Specialty Services in Global Sustainable Infrastructure at Johnson Controls

Global standardization of the competitive intelligence function is an important hurdle for many large, complex organizations to overcome. Global standardization comes with countless benefits; it facilitates knowledge sharing and collaboration across geographies, eliminates redundant data collection efforts, allows for scalable, efficient operations, and, most importantly, provides a comprehensive view of the market across regions, enabling better decision-making.In this episode of Decisions Now, Kory Weisman, Director of Global Commercial Excellence at Clarios, joins host Erin Pearson, Evalueserve’s VP of Marketing, to discuss how Clarios standardized its competitive intelligence efforts worldwide. Clarios is a prominent low-voltage battery supplier powering one in three of the world’s vehicles.In this installment, Kory and Erin discuss:✔️ Challenges encountered in standardizing competitive intelligence across the globe. ✔️ The benefits Clarios has seen from transitioning to a global structure.✔️ The importance of collaboration and strategic alignment across a large organization. ✔️ How to encourage buy-in and adoption of an initiative across various teams.📌 Quote from the Episode:📣 “The standardized approach has really allowed us to accurately look at different aspects of our business, such as our segment share, our pipeline, how we’re performing as planned, and so on, in a real-time way that can be leveraged across regions, OEM levels, or even across various pieces of the organization.” – Kory Weisman📌 Speakers in this Episode: 🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Kory Weisman, Director of Global Commercial Excellence at Clarios

In this installment of Decisions Now, host Erin Pearson is joined by Kirsty Grant, who serves as the International Marketing Director of Public Safety Solutions at Everbridge. Everbridge is a global software company that empowers resilience. For over 20 years, Everbridge has helped both public and private organizations navigate the unpredictable world safely, reduce costs associated with critical events, protect lives, and accelerate recovery.Kirsty and Erin discuss a variety of topics related to AI in the marketing sphere, including:✔️ Use cases for generative AI, especially in content creation.✔️ The tendency of the marketing function to be at the forefront of tech adoption.✔️ Concerns around generative AI, including issues with privacy, validating the information it provides, and potential regulations.✔️ Consumer-facing AI is new, but AI has impacted people’s daily lives for a few years.📌 Quote from the Episode: 📣 "The genie’s out of the bottle. We can’t put it back in." – Kirsty Grant📌 Speakers in this Episode: 🎙️ Erin Pearson, Vice President, Marketing at Evalueserve🎙️ Kirsty Grant, International Marketing Director of Public Safety Solutions at Everbridge

In the age of data and analytics, businesses can enhance and make well-informed decisions by leveraging data and technology in their favor. In this episode of the Decisions Now podcast, we talked to Erica Brigance, Vice President of Data Science at Arcbest on how to realize value from analytics and artificial intelligence (AI) projects. 📌Key Takeaways ✔️ The future of using technology well, ✔️ ROI (return on investment), ✔️ Demand and value realization, and ✔️ The hype of ChatGPT 📌Quote Takeaways in this Episode: 📣 “The new technology, of course, keeps evolving, but from a business-centric standpoint, typically you want to not always take the shiniest stuff you want to test and try and make sure it stands to the enterprise-grade needs,” Chevala said. 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Erica Brigance | Vice President of Data Science at Arcbest https://arcb.com/

Companies have been racing to leverage artificial intelligence (AI) and data science to succeed. But before teams can benefit from them, it’s important to establish these practices in a manner that’s profitable and done correctly, so we talked to expert Josh Edwards, global data science and operations director at Black & Veatch.📌Key Takeaways✔️ Common obstacles and best practices when establishing an AI practice ✔️ Picking the right use cases, ✔️The next steps, and ✔️ The Hype around AI 📌Quote Takeaways in this Episode: 📣 “If AI is not part of your digital transformation program, you're doing your digital transformation wrong, it needs to be a heart and center of that,” Edwards said. “And then the second thing is that data underpins all of that. So take whatever investment that you're making in data and times it by ten. That's where it needs to be.” 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Josh Edwards |Global Data Science and Operations Director, Black & Veatch https://www.bv.com/

Today, Artificial intelligence (AI), has penetrated the defense industry, like most. On this episode of the Decisions Now podcast, we are joined by Rob Albritton, vice president, and AI practice lead at Octo, who shares all the innovative ways AI is making strides in the defense world.📌Key Takeaways✔️ Use of AI in Defense✔️ How Octo is Optimizing AI for Data Pattern and Recognition✔️ Machine Learning Operations and✔️ Building an AI Team📌Quote Takeaways in this Episode:📣 “How long it takes for a model to drift varies. There's no empirical or there's no hard and fast rule. This type of model architecture always drifts every three days. There's just no way to put that kind of metric on it,” he added.📌The Speakers in This Episode:🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com🎙️ Rob Albritton, VP, and AI practice lead at Octo, https://olabs.octo.us/

The auto insurance industry is rapidly transforming with the use of artificial intelligence (AI) and data analytics, like many other businesses. In this episode of the Decisions Now podcast, Charles Boyle, VP, and global chief data officer at Octo Telematics discusses how the industry is succeeding by leveraging the power of data and technology. Co-hosts Rigvinath Chevala, Evalueserve’s chief technology officer, and Erin Pearson, VP of marketing chat with Boyle on how AI is being used to assess driving risk, insurance rates, driving behaviors, predictive maintenance, and more! 📌Key Takeaways: ✔️ Digital transformation✔️ AI and ML in the Auto Industry ✔️ Auto Insurance and Risk ✔️ Predictive Maintenance ✔️More in the Auto Industry with AI, and✔️ Careers📌Quote Takeaways in this Episode: 📣 “Think about it like the credit score, like your FICO credit score, but based on your driving habits and your driving behaviors. And insurance companies are using that because it's an insurance grade score that's based on claims and observed losses,” Boyle said. “And ultimately, they're using that to differentiate risk profiles and price the premiums accordingly.”📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Charles Boyle | VP and Global Chief Data Officer, https://www.octotelematics.com/

The quick service restaurants (QSR) industry is being revolutionized by data and analytics (DA) and artificial intelligence (AI). In this episode, Zachary Richard, director of global data science at McDonald's, shares how the company is using data to boost customer and crew experience, the challenges with data exploration, streamlining different departments to avoid silos, and general tips and tricks.Listen to the full episode of the Decisions Now podcast, as co-hosts, Rigvinath Chevala, Evalueserve’s chief technology officer, and Erin Pearson, VP of marketing chat with Richard to get the scoop on how McDonald’s is paving the way to success using data analytics! 📌Key Takeaways:✔️ Leveraging Data and Analytics to Transform the Experience✔️ Data Exploration and Challenges ✔️ The Power of Computer Vision and Speech Analytics ✔️ Data Privacy Change Management Transformation📌Quote Takeaways in this Episode: 📣 “Everything that we do is geared towards improving the customer experience, but also the crew experience as well,” Richard said. “Making sure that people who are in the restaurants, from customers to crew are all having great, kind of what we call feel-good moments while there in the restaurant.” 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Zachary Richard | Director of Global Data Science, McDonald’s https://www.mcdonalds.com/

Today, we have laws in place to protect and efficiently govern our freedom, privacy, and rights. The growth in technology has spiked the interest in ethics in AI and technology and has called organizations to be more responsible with their products. On the latest episode of the Decisions Now podcast, we are joined by, CEO and Founder of Emergent Line, Christopher Sanchez who shares all about the Global AI Bill of Rights, which he wrote. 📌Key Takeaways ✔️ Global AI Bill of Rights✔️Making Rights Accessible ✔️ Education and ✔️ Data Privacy✔️ 📌Quote Takeaways in this Episode: 📣 “The key thing that I want you to think of with the global AI bill of rights is we are thinking of how we are creating the world that not only we will live in, but future generations will live in,” Sanchez said. “If algorithms don't have explainability, they don't have transparency. If algorithms don't have explainability, they don't have transparency.” 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Christopher Sanchez | CEO & Founder of Emergent Line, https://www.emergentline.com/

On the twelfth episode of the Decisions Now podcast, we are joined by AI ethicist, Olivia Gambelin, founder of Ethical Intelligence, who brings us a thought-provoking conversation centered around ethics in AI. Tune in as co-hosts Rigvinath Chevala, Evalueserve’s chief technology officer, and Erin Pearson, our vice president of marketing chat with Gambelin about ethics in AI, the challenges that come with it, building an ethical strategy, and what the future looks like! 📌Key Takeaways ✔️ What is Ethical AI ✔️Ethics in AI and the Challenges ✔️ Ethical AI vs Explainable AI ✔️ Three Step Process in Building an Ethics Strategy, and the ✔️ The future of AI Within the Ethics Realm 📌Quote Takeaways in this Episode: 📣 “Going from a nice to have, or an interesting conversation, ethics in AI is now at the front and center of conversation around AI development,” Gambelin said. 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️ Olivia Gambelin | Founder of Ethical Intelligence, https://www.ethicalintelligence.co/

With AI adoption in full swing for many, machine learning (ML) and artificial intelligence (AI) are paving the way for progress in different business sectors. On the eleventh episode of the Decisions Now podcast, Joshua Starmer, Founder, and CEO of StatQuest, and Lead AI Educator at Lightning AI dives into the nuts and bolts of ML algorithms, updating the technology, educating teams on ML within organizations, and more. Don’t miss this engaging episode as co-hosts, Rigvinath Chevala, EVS chief technology officer, and Erin Pearson, VP of Marketing get the scoop from Starmer, in the most musical manner. 📌Key Takeaways ✔️ Verifying Your Models & Data ✔️Updating & Understanding the Models ✔️Syncing it With Reality ✔️Knowing When to Call it Quits, and ✔️Educating Teams on ML 📌Quote Takeaways in this Episode: 📣 "ML is becoming easier to do and more cost-effective or price the price for doing it is much more reasonable than it used to be. And so yeah, so there's going to be smaller companies with fewer resources diving into the deep end,” Starmer added. “It's like a pet, you got to keep taking care of it. Go take it for a walk every day. Not many people think of it as something that requires care.” 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️ Joshua Starmer | Founder, and CEO of StatQuest, and Lead AI Educator at Lightning AI. https://statquest.org/

Industry experts are constantly sharing their AI experiences and stories. We decided to cast the net wider and get a different perspective, in this episode we are joined by Chris Ehrlich, managing editor of Datamation. Ehrlich brings over 20 years of experience reporting on B2B technologies and chats with co-hosts, Evalueserve’s CTO Rigvinath Chevala, and VP of Marketing Erin Pearson about all things AI. From the AI as a misnomer, biases, innovation demand, and more, the trio brings you an engaging conversation.📌Key Takeaways:✔️ AI as a Misnomer ✔️AI and ML ✔️Biases ✔️AI Advancement. 📌Quote Takeaways in this Episode: 📣 “AI and ML kind of go hand in hand in most material that you see out there. The way I see it is that machine learning is more of a mechanism. It's the means by which you apply math to a certain set of problems. So, it's in a way it's an applied math problem and AI is the concept,” Chevala said. “It's like two different things like, AI is just describing the fact that the outcome of using that mechanism, then mimics some sort of human intelligence, which is why it's Artificial Intelligence. So, that's the way I differentiate in my mind.” 📌The Speakers in This Episode: 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Chris Ehrlich | Managing Editor at Datamation https://www.datamation.com/

Data analytics and AI are terms we hear in the market way too often. Everywhere you go, people want data-driven insights, now more than ever it's essential to understand what it takes to forge this strong analytic transformation journey. In the ninth episode of the Decisions Now podcast, we talked with Data and Analytics Professor at IE Business School and Founder of DBP Institute, Prashanth Southekal about what it takes to build a strong data culture powered by AI and analytics. In this conversation, co-hosts Rigvinath Chevala, EVS chief technology officer, and Erin Pearson, EVS VP of Marketing talk to Southekal about what data analytics can do for you, types of insights, and the criteria that make insights actionable.📌Key Takeaways ✔️Data analytics and types of insights ✔️Making insights actionable ✔️Translating the insights ✔️Data literacy, and ✔️Building a data culture.📌Quote Takeaways in this Episode 📣 “The whole purpose of data analytics is to ask the relevant questions, so as to gain insight to facilitate decision-making,” Southekal said. “It is basically patterned, specifically, it's about correlations, it's about relationships, inferences, outliers, predictions, so on and so forth, which will help me make a decision if I had not known it earlier.” 📌The Speakers in This Episode:🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | VP Marketing, Evalueserve www.evalueserve.com 🎙️Prashanth Southekal | Data and Analytics Professor at IE Business School and Founder of DBP Institute.

Artificial Intelligence (AI) algorithms have paved the way for the retail industry to gain great insights into consumer behaviors as well as other market needs. This digital transformation in the retail sector was accelerated as a result of the COVID-19 pandemic, making AI-powered technology a necessity for these companies. In the eighth episode of the Decisions Now podcast, we are joined by Mansoor Kazi, partner at Bain, who works specifically in the retail space. Co-hosts Rigvinath Chevala, EVS CTO, and Erin Pearson, our VP of Marketing, talk with Kazi who has clients ranging from Walmart to Food Lion, Harris Teeter, and more, as he shares an insightful conversation on AI, data, and analytics. 📌Key Takeaways ✔️How retailers can use data ✔️The challenges with disparate data sets and more ✔️Why you should blend AI with human expertise and how it benefits you ✔️The three things retailers can focus on when kick-starting their analytics-powered AI journey. 📌Quote Takeaways in this Episode 📣“Retailers have massive amounts of data and it's becoming more and more important in terms of driving value for the retailer,” Kazi said. “Because if you think about how consumers are shopping and what drives preferences, one of the underlying trends that we're seeing is, from consumers is the need to have personalized, curated experiences.” 📌The Speakers in This Episode 🎙️Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | Director GTM, Evalueserve www.evalueserve.com 🎙️Mansoor Kazi | Partner, Bain & Company https://www.bain.com/

DescriptionPeople analytics and behavioral analytics are data-driven ways of analyzing people and their behavior to improve systems and accomplish long-term corporate goals. Including this approach in your business asset will help you better understand your company and handle specific workplace social concerns. People now recognize the value of mental and emotional health in the workplace, and adopting this method can help you get insights and build better workplace rules that will help your employees grow, develop skills and talents, and achieve success in their sectors.In this episode, Erin and Rigvi are joined by Ben Waber, the president and co-founder of Humanyze, a software company that pioneers workplace analytics. Ben explains what workplace analytics are and why they are vital to have in your company. Ben also talks about his firm, "Humanyze," and how they use data in the workplace to aid their clients. Ben also discusses the issue of AI Biases in analytics, as well as how to address and solve the issue. He also shares some case examples where tech tools affect and influence the Work Dynamics in a company. Lastly, Ben gives some takeaways of what was his experience in writing his Book titled “People Analytics”. Key TakeawaysWhat is People and Behavioral Analytics and How Humanyze is using it?How Humanyze processes and analyzes data to avoid AI Bias.The Importance of Retraining or Readjusting Algorithms to fixed Unavoidable BiasesHow The Usage of Tech Tools can be used to Influence Work DynamicsSome Case Examples where Personal Interaction greatly affects Behavioral AnalyticsTakeaways from our Guests when doing His Book “ People Analytics” Quotes“There is always bias in data, always. And no matter how much work you do to try to remove it or minimize it, things will still exist that you don't know about” - Ben“Minority groups have small numbers and it does matter when it comes to discrimination. Less of them means less of data which the tools of data science are not helpful in those cases” - Ben Featured in This EpisodeRigvinath (Rigvi) Chevala | Chief Technology Officer, EvalueserveProfile: https://theorg.com/org/evs/org-chart/rigvinath-chevalaLinkedin: https://www.linkedin.com/in/rigvinathchevalaWebsite: www.evalueserve.com Erin Pearson | Director GTM, EvalueserveLinkedin: https://www.linkedin.com/in/pearsonerinWebsite: www.evalueserve.com Benjamin Waber | President & Co-Founder of HumanyzeProfile: https://humanyze.com/about-us/Linkedin: https://www.linkedin.com/in/benjaminwaberTwitter: https://twitter.com/bwaberWebsite: https://humanyze.com/ Book Mentioned in the EpisodePeople Analytics: How Social Sensing Technology Will Transform Business and What It Tells Us About the Future of Work (FT Press Analytics)Find them here:https://www.amazon.com/People-Analytics-Technology-Transform-Business/dp/0133158314https://www.goodreads.com/book/show/16283666-people-analytics Chapters00:00 Introduction01:04 What is Behavioral Analytics04:20 How Humanyze analyzes data07:53 How Humanyze process data to avoid Ai bias12:58 AI biases are unavoidable but can be fixed17:47 Techs That Will Influence Work Dynamics23:09 Some Case Examples Where Work Dynamics are Influenced35:21 Takeaways from our Guest when writing his Book titled “People Analytics” This episode was produced by Heartcast Media

To be a successful salesperson, one must be good in communication, as the art of selling is heavily reliant on persuading and trustworthy sharing of information. And because the essence of business is all about sales, the lifeline of a company will always be dependent on how well sales are done. In this episode, we're joined by Steve Richard, the founder of Exact Vision, a company that specializes in conversational intelligence and sales coaching. Steve discusses how artificial intelligence (AI) may help businesses educate and teach their salespeople to be more effective at closing deals.📌Key Takeaways✔️How different types of Technologies such as Data analytics and AI come into play when developing an effective sales tool.✔️How conversation intelligence helps or assist Sales Calls✔️How Conversational Intelligence paves the way of developing Sales Intelligence✔️How Sales Intelligence is being used for effective coaching on salespeople 📌Quote Takeaways in this Episode 📣“The reason we do data analytics is to improve the business, and a lot of people just do data analytics just for the sake of data analytics and that does not help anybody.” - Steve 📌The Speakers in This Episode🎙️Rigvinath (Rigvi) Chevala | ProfileChief Technology Officer, Evalueservewww.evalueserve.com 🎙️Erin Pearson | LinkedinDirector GTM, Evalueservewww.evalueserve.com 🎙️Steve Richard | LinkedinFounder @ ExecVision: Sales Coaching & Conversation Intelligence Softwarewww.execvision.io 📌Time Stamp⌛[00:00] Introduction⌛[01:15] Developing an effective tools or system with the use of AI and Data Analysis⌛[12:22] Conversation Intelligence in sales call⌛[20:15] Conversation Intelligence to Sales Intelligence⌛[29:51] Using Sales intelligence for effective coaching⌛[40:37] Steve on his last ski run This Episode was produced by Heartcast Media

Many businesses are implementing AI technology into their systems because it allows them to operate more efficiently and effectively in their everyday operations, yet the majority of them are stuck and not progressing far enough. Some may consider this as a risk since they may not see AI's full potential, which might lead to a loss of exponential growth and competitive advantage. Briana Brownell, the Founder and CEO of Pure Strategy, joins us in this episode. She discusses the AI maturity curve and how we may assist in the transition from the beginning to the finish. She also emphasizes the need of asking the appropriate questions before digging into analytics, as well as how exciting it will be if AI technologies are truly enabled in the future. She also enthusiastically promotes her PBS show "Why We Dream."📌Key Takeaways✔️Where most people ending up on the maturity curve When implementing AI✔️How to help people evolve from different phases from beginning to end✔️How important is to know what are the right questions to ask before doing analytics✔️AI is enabling some of the most exciting new possibilities.✔️Data privacy and the emergence of legislation to address it 📌Quote Takeaways in this Episode 📣“the promise of A.I. is that we do not want to replace things that human can do but to allow them and assist them to come up with better result” - Brianna📌The Speakers in This Episode🎙️Rigvinath (Rigvi) Chevala | ProfileChief Technology Officer, Evalueservewww.evalueserve.com🎙️Erin Pearson | LinkedinDirector GTM, Evalueservewww.evalueserve.com🎙️Brianna Brownell | LinkedinFounder and CEO at Pure Strategy Inc.purestrategy.ai📌Time Stamp⌛[00:00] Introduction⌛[01:09] Ending up on the Maturity Curve⌛[03:12] Evolving from different phases ⌛[05:18] Finding the right questions⌛[06:59] Developing a central system⌛[10:33] Data analytics and AI as an Subject Interest⌛[11:01] Exciting possibilities due to AI⌛[18:30] Data Privacy⌛[21:38] Brianna on his PBS show “Why we Dream”⌛[23:02] OutroThis Episode was produced by Heartcast Media

The process of ensuring that data is usable, accessible, and safe is referred to as data governance. Improved data analytics lead to better decision making and operational assistance when data governance is implemented effectively. It also aids in the elimination of data discrepancies or inaccuracies, which can result in issues of integrity, poor decision making, and a range of organizational challenges. In this episode, our guest, Bin Mu, Chief Data and Analytics Officer at Adobe, discusses what data governance will look like in the future, how the system answers the demands of businesses when making judgments, and how this system helps professionals make better decisions on a daily basis.📌Key Takeaways✔️Creating a design for data governance in order to make it a simple procedure that is integrated into regular tasks.✔️Making Data Governance accommodate the needs of businesses in making decisions✔️Analyze the data quality to aid the system's analysis, resulting in improved conclusions.✔️Professional decision-making is being improved through the use of a modern data governance framework.📌Quote Takeaways in this Episode📣“We want to bring the data governance front and center and not make it an afterthought in a process, incorporating it in the daily operations” - Bin📌The Speakers in This Episode🎙️Rigvinath (Rigvi) Chevala | ProfileChief Technology Officer, Evalueservewww.evalueserve.com🎙️Erin Pearson | LinkedinDirector GTM, Evalueservewww.evalueserve.com🎙️Bin Mu | LinkedinVP, Data & Analytics at Adobewww.adobe.com📌Time Stamp⌛[00:00] Introduction⌛[00:56] Automated Data Governance⌛[06:09] Putting it into place⌛[11:02] Data Governance in B2B⌛[13:02] Data Quality⌛[21:59] TakeawaysThis Episode was produced by Heartcast Media

Information Logistics, from the collecting of raw data and information to the table of decision-makers, is a key part of any organization. It's a new topic, especially as data and information become more intertwined with cloud computing and storage. The idea of managing data in a way that brings together the necessary data at the right time, in the right format has long been a theme in systems administration. In this episode, Erin Pearson, together with Marc Vollenweider, Director & Co-founder, Evalueserve, and also Rigvinath (Rigvi) Chevala, Chief Technology Officer, Evalueserve, discusses how important the movement of information from data gathering, analysis, insights, and interpretation up to decisions and implementation in an organization.📌Key Takeaways✔️The importance of Information logistics for making decisions in an Organization.✔️Storytelling as a way for easy communication of Data and Information✔️Factors and Elements in Information Logistics✔️Some Examples where Information Logistics are being done📌Quote Takeaways in this Episode📣“It's not enough to just provide someone with some information. You want this to be a community so that people can start talking about it.” - Marc📣“The problem I see is that when we construct these (the system), all of these personalities, we need to cater to them and make them more effective so that the User can make informed decisions.” - Rigvi📣“you need to have it (information and data) in a digestible format and people like stories as stories resonate with people very well.” - Erin📌The Guests in This Episode🎙️Marc Vollenweider | ProfileDirector & Co-founder, Evalueserve🎙️Rigvinath (Rigvi) Chevala | ProfileChief Technology Officer, Evalueserve🎙️Erin Pearson | LinkedinDirector GTM, Evalueserve📌Time Stamp[00:00] introduction[01:15] logistics of Data Analytics, from Raw Data up to the Decision Maker[10:03] Storytelling, another way to make data and Information digestible[13:15] Factors and Elements in Data Analytics[17:27] Cultural Element fitting in Data Analytics[24:08] Trust Factor on AI Analytics[26:29] ConclusionThis Episode is produced by Heartcast Media

We all know that the success or failure of a business is determined by the decisions we make. These judgments can sometimes lead to businesses becoming multimillion-dollar enterprises or, even worse, bankruptcy. Companies nowadays employ a newly developed technology known as competitive intelligence, which aids leaders in making better decisions.In this episode, we welcome Cam Mackey, executive director of SCIP and host of the Intellicast podcast show. Cam will explain what competitive intelligence is, some facts about it, and its significance in the corporate world.If you're interested in innovation, artificial intelligence, technology and business, or learning about new technologies that can help your company expand, this is the place to be. Listen to our show by pressing the play button.Chapters and Key Takeaways[01:21]What is Competitive intelligence?Cam discusses what competitive intelligence is.Cam also says that competitive intelligence helps the  company grow and minimize risks.[02:38]How can we use competitive intelligence with a huge amount of data?Cam shares how to use the data with competitive intelligenceCam enumerates some type samples of competitive intelligence depending on the data being collected.[04:16]What are the Challenges of competitive intelligence in modern technology?Cam shares what are the basic needs to be successful in using competitive intelligence.Cam also shares some situations where competitive intelligence can really help in achieving the company goals.They also told possible Issues of competitive intelligence if being misused.[09:54]What will be the result when the traditional intelligence gathering and data analytics are merged?They share the difference between the traditional method versus the new method of CI techniques and data analysis.They also share what were  the method and the environment 20 years ago vs 20 years after.[12:29]Will Competitive intelligence be more effective than professional insights in making decisions?Cam shares his opinions and insights on what will happen when companies use competitive intelligence as the major factor in corporate decision making. Cam shares some examples on some proper approaches when dealing with Competitive intelligence in a workplace[17:09]What are the failures and lessons in competitive intelligence from a product perspective? Cam shares his experience during his career, the struggles and mistakes when developing this new suite of products and then not knowing the market. Cam also shares the importance of knowing the market and the buyer personas when developing a product. Cam also told some mistakes not leveraging the usage of the internal information they have and lost an opportunity.[27:10]How can you measure the impact of the decisions making within your organization? Cam shares the metrics and how he came up with these metrics by doing a blended approach.Quotes“it's the challenge of how can we leverage technology in the best and the right way while also realizing that, you know, there is a huge amount of contribution that you know humans can bring to the party” “Traditional mechanisms of just looking at public data, commoditized data or even doing alternate data analysis is good to an extent. But then at some point you have to switch to statistical modeling and understanding big data.”“don't pigeonhole yourself towards something like this one single metric. Have a blend of quantitative and qualitative, and don't get stuck up on the numbers about opens and downloads. That's fine, but ultimately, that's not why we're here.” Decisions Now PodcastGuest Links:Cam Mackey’s LinkedinSCIP - Strategic and Competitive Intelligence ProfessionalsListen SCIP Intellicast Podcast onApple PodcastsSpotifyGoogle PodcastsAmazon Music 

Artificial intelligence has a wide range of applications in the commercial world. In reality, most of us engage with artificial intelligence on a regular basis in some way. On this episode, we are joined by Paul Roetzer, CEO and Founder of Marketing AI Institute and PR 20/20, talks about Artificial Intelligence and its uses in the business world. They discuss what are the functions and forms of Artificial Intelligence in businesses nowadays. “It’s this idea that the machine, the software, the hardware we use to do marketing, whether it’s social media or advertising or CRM analytics, automation, they’re they’re elementary, they’re they’re human rules-based technologies.” They also talk about what are the tasks Artificial Intelligence does mostly and when will humans intervene and take over the work. “Find something that’s repetitive, find something that you do over and over again that you could sit down and say, here’s the seven to 10 steps that I take to do this task. There’s a decent chance someone has built an AI powered tool to automate that task, but that tool gets better and smarter over time. And so finding those repetitive tasks that we would call those use cases where you can apply a technology” The Hosts also discuss how AI influences marketers in forming better decision making.  01:26What is AI in Marketing perspective?Paul and Rigvi discuss what is AI in general and what is its form, how AI function and learn from data and how to use AI to make our lives better. 04:21Where does the AI fit in? And when will humans take over the labor from A.I in a workplace?According to Paul, there is repeated work in a process, and by understanding this, AI technology may be developed around that work, reducing the workload for humans. 08:37How can marketers use AI to make the job more efficient?Paul used the example of a marketer doing an email campaign. He claimed that artificial intelligence, by employing an AB Test and analyzing the data in that campaign, marketers can become more efficient in their email marketing. 12:07What is the difference between Old School Analytics vs AI analytics in helping people to come up with decisions without decision biases?Paul describes the beauty of AI and its ability to find patterns in data and generate insights that can be used to make better decisions. Rigvi also shares how decisions are made on traditional analysis versus the new generation of statistical modeling and AI. 15:44How will AI affect the field for data scientists, machine learning engineers and marketers in 10 or more years in the future?Paul exclaims that perhaps these groups of people will spend more time together in the future. He might also think that data scientists may not be required as AI develops. improves with each day. 22:15How can AI be used in some industries other than marketing?Paul agrees with AI can be used to any industry as long as a goal for making it smarter and more efficient exists. He also stated that there are three macro categories that can be used to make an industry more intelligent. 26:07What does an algorithmic leader mean, and where do we see it going?Paul explains that in AI, you don't have to know everything. but instead concentrated on figuring out what your company can accomplish when smarter technology is utilized.