PODCAST

Decisions Now

Heartcast Media

Decisions Now is a bi-weekly podcast presented by Evalueserve discussing how to generate decision-ready insights from artificial intelligence and data. In each episode, co-hosts Rigvi Chevala and Erin Pearson talk with experts, analysts and business leaders across industries to bring you insights on diverse AI subjects. Subscribe today and don’t miss an episode.

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Transforming the Retail Industry Using AI with Mansoor Kazi
Yesterday
Transforming the Retail Industry Using AI with Mansoor Kazi
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
Transforming the Retail Industry Using AI with Mansoor Kazi
Yesterday
Transforming the Retail Industry Using AI with Mansoor Kazi
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
Ben Waber on Using AI-Driven Behavior Analytics to Strengthen Talent Management
May 18 2022
Ben Waber on Using AI-Driven Behavior Analytics to Strengthen Talent Management
Description People 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 Takeaways What 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 Biases How The Usage of Tech Tools can be used to Influence Work Dynamics Some Case Examples where Personal Interaction greatly affects Behavioral Analytics Takeaways 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 Episode Rigvinath (Rigvi) Chevala | Chief Technology Officer, Evalueserve Profile: Linkedin: Website: www.evalueserve.com Erin Pearson | Director GTM, Evalueserve Linkedin: Website: www.evalueserve.com Benjamin Waber | President & Co-Founder of Humanyze Profile: Linkedin: Twitter: Website: Book Mentioned in the Episode People Analytics: How Social Sensing Technology Will Transform Business and What It Tells Us About the Future of Work (FT Press Analytics) Find them here: Chapters 00:00 Introduction 01:04 What is Behavioral Analytics 04:20 How Humanyze analyzes data 07:53 How Humanyze process data to avoid Ai bias 12:58 AI biases are unavoidable but can be fixed 17:47 Techs That Will Influence Work Dynamics 23:09 Some Case Examples Where Work Dynamics are Influenced 35:21 Takeaways from our Guest when writing his Book titled “People Analytics” This episode was produced by Heartcast Media
Using AI to Strengthen Your Sales Teams with Steve Richard
May 4 2022
Using AI to Strengthen Your Sales Teams with Steve Richard
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 | Profile Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | Linkedin Director GTM, Evalueserve www.evalueserve.com 🎙️Steve Richard | Linkedin Founder @ ExecVision: Sales Coaching & Conversation Intelligence Software www.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
Understanding Your Analytics Maturity with Briana Brownell
Apr 20 2022
Understanding Your Analytics Maturity with Briana Brownell
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 | Profile Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | Linkedin Director GTM, Evalueserve www.evalueserve.com 🎙️Brianna Brownell | Linkedin Founder 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] Outro This Episode was produced by Heartcast Media
Making Better Decisions Through Effective Data Governance with Bin Mu
Apr 6 2022
Making Better Decisions Through Effective Data Governance with Bin Mu
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 | Profile Chief Technology Officer, Evalueserve www.evalueserve.com 🎙️Erin Pearson | Linkedin Director GTM, Evalueserve www.evalueserve.com 🎙️Bin Mu | Linkedin VP, Data & Analytics at Adobe www.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] Takeaways This Episode was produced by Heartcast Media
Driving Analytics into Decisions and Everything in Between, featuring Marc Vollenweider
Mar 23 2022
Driving Analytics into Decisions and Everything in Between, featuring Marc Vollenweider
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 | Profile Director & Co-founder, Evalueserve 🎙️Rigvinath (Rigvi) Chevala | Profile Chief Technology Officer, Evalueserve 🎙️Erin Pearson | Linkedin Director 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] Conclusion This Episode is produced by Heartcast Media
Decisions Now Episode 2: Generating Decisions Through Competitive Intelligence and How, featuring Cam Mackey
Mar 9 2022
Decisions Now Episode 2: Generating Decisions Through Competitive Intelligence and How, featuring Cam Mackey
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 intelligence Cam 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 Podcast Guest Links: Cam Mackey’s Linkedin SCIP - Strategic and Competitive Intelligence Professionals Listen SCIP Intellicast Podcast on Apple Podcasts Spotify Google Podcasts Amazon Music
Decisions Now Episode 1: How Can Marketers Leverage AI to Drive Results Featuring Paul Roetzer
Feb 22 2022
Decisions Now Episode 1: How Can Marketers Leverage AI to Drive Results Featuring Paul Roetzer
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.    01:26 What 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.   04:21 Where 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.   08:37 How 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.   12:07 What 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.   15:44 How 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.   22:15 How 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.   26:07 What 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.