Podcasts about enterprise analytics

We're building some ties here in case you're wondering. Last week, you heard from Mike Nunn  on security. This week you're hearing from Sam Wong,  Data executive at Marc Anthony leading organizations to work smarter with Data and AI.  Phil has known Sam for a long long time. Fun fact, Sam was Phil's pianist at his wedding.  You can find Sam here: https://www.linkedin.com/in/sam-wong-analytics/  

In this episode, Amir Bormand interviews Peter Maynard, Chief Data and Analytics Officer at Guardian Life, discussing innovative thinking in the age of AI. Peter shares insights into how Guardian Life, a 160-year-old insurance company, leverages AI and data products to improve consumer and group business services. The conversation delves into the challenges and strategies of integrating new technologies into established processes, the importance of lifelong learning, and the balance between technical understanding and business value. Peter also emphasizes the role of trust, leadership, and creating space for innovation within teams to drive organizational transformation. Highlights: 03:13 Embracing Change and Innovation in a Legacy Company 03:36 The Impact of ChatGPT and Continuous Learning 07:06 Navigating the Complexities of AI and Leadership 22:08 Fostering a Culture of Innovation and Learning Guest: Dr. Peter Maynard is the Chief Data and Analytics Officer at Guardian Life, a position he has held since 2022. He previously worked at Equifax, where he served as Senior VP of USIS Data and Analytics. Before joining Equifax in 2013 as SVP of Enterprise Analytics, Maynard spent over a decade at Capital One as a Model Risk Officer and VP of Global Financial Services. He was an Outcomes Analyst at Heritage Information Systems earlier in his career. Dr. Maynard holds a BS in Economics from the University of Rhode Island and a Master's Degree and PhD in Economics from the University of Tennessee, Knoxville. LinkedIn: https://www.linkedin.com/in/peter-maynard-0b4b17/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests?Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Summary Data lakehouse architectures have been gaining significant adoption. To accelerate adoption in the enterprise Microsoft has created the Fabric platform, based on their OneLake architecture. In this episode Dipti Borkar shares her experiences working on the product team at Fabric and explains the various use cases for the Fabric service. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Dipti Borkar about her work on Microsoft Fabric and performing analytics on data withou Interview Introduction How did you get involved in the area of data management? Can you describe what Microsoft Fabric is and the story behind it? Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. What are the motivating factors that you see for that trend? Microsoft has been investing heavily in open source in recent years, and the Fabric platform relies on several open components. What are the benefits of layering on top of existing technologies rather than building a fully custom solution? What are the elements of Fabric that were engineered specifically for the service? What are the most interesting/complicated integration challenges? How has your prior experience with Ahana and Presto informed your current work at Microsoft? AI plays a substantial role in the product. What are the benefits of embedding Copilot into the data engine? What are the challenges in terms of safety and reliability? What are the most interesting, innovative, or unexpected ways that you have seen the Fabric platform used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data lakes generally, and Fabric specifically? When is Fabric the wrong choice? What do you have planned for the future of data lake analytics? Contact Info LinkedIn (https://www.linkedin.com/in/diptiborkar/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Microsoft Fabric (https://www.microsoft.com/microsoft-fabric) Ahana episode (https://www.dataengineeringpodcast.com/ahana-presto-cloud-data-lake-episode-217) DB2 Distributed (https://www.ibm.com/docs/en/db2/11.5?topic=managers-designing-distributed-databases) Spark (https://spark.apache.org/) Presto (https://prestodb.io/) Azure Data (https://azure.microsoft.com/en-us/products#analytics) MAD Landscape (https://mattturck.com/mad2024/) Podcast Episode (https://www.dataengineeringpodcast.com/mad-landscape-2023-data-infrastructure-episode-369) ML Podcast Episode (https://www.themachinelearningpodcast.com/mad-landscape-2023-ml-ai-episode-21) Tableau (https://www.tableau.com/) dbt (https://www.getdbt.com/) Medallion Architecture (https://dataengineering.wiki/Concepts/Medallion+Architecture) Microsoft Onelake (https://learn.microsoft.com/fabric/onelake/onelake-overview) ORC (https://orc.apache.org/) Parquet (https://parquet.incubator.apache.org) Avro (https://avro.apache.org/) Delta Lake (https://delta.io/) Iceberg (https://iceberg.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/iceberg-with-ryan-blue-episode-52/) Hudi (https://hudi.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/hudi-streaming-data-lake-episode-209) Hadoop (https://hadoop.apache.org/) PowerBI (https://www.microsoft.com/power-platform/products/power-bi) Podcast Episode (https://www.dataengineeringpodcast.com/power-bi-business-intelligence-episode-154) Velox (https://velox-lib.io/) Gluten (https://gluten.apache.org/) Apache XTable (https://xtable.apache.org/) GraphQL (https://graphql.org/) Formula 1 (https://www.formula1.com/) McLaren (https://www.mclaren.com/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

GHWCC Global Businesswomen's Pod Episode 87  An enlightening session as a distinguished panel of leading experts delves into the fascinating world of Artificial Intelligence (Al). Gain valuable insights and perspectives on the latest developments, trends, and the impact of Al in various industries. Featuring:  Xiaojun Huang Chief, Modeling, Optimization and Data Science ExxonMobil Teresa Tonthat Vice President & Associate Chief Information Officer Texas Children's Hospital Rebecca McMorris Sr. Director, Strategy & Portfolio Mgmt for Enterprise Analytics & Data Management Waste Management Elaine White Principal, Technology Strategy & Energy Deloitte Consulting LLP AI PANEL MODERATOR    

GHWCC Global Businesswomen's Pod Episode 87 An enlightening session as a distinguished panel of leading experts delves into the fascinating world of Artificial Intelligence (Al). Gain valuable insights and perspectives on the latest developments, trends, and the impact of Al in various industries. Featuring: Xiaojun Huang Chief, Modeling, Optimization and Data Science ExxonMobil Teresa Tonthat Vice President & Associate Chief Information Officer Texas Children's Hospital Rebecca McMorris Sr. Director, Strategy & Portfolio Mgmt for Enterprise Analytics & Data Management Waste Management Elaine White Principal, Technology Strategy & Energy Deloitte Consulting LLP AI PANEL MODERATOR

Are you ready to unlock the power of data? In this special episode of Alter Everything, we share some highlights from the AlterNext event that occurred on September 14th, hosted by Nick Haylund, who you'll hear from in this episode. You'll also hear from a variety of guests covering topics like generative AI, data governance, using data to make informed decisions and much more!Show notes:Alteryx FREE trialAlteryx ServerAlteryx Auto InsightsAlter.Next full panel

Colleges and universities are facing declining enrollment rates, mounting regulatory pressure, the resumption of student loan payments, the reversal of affirmative action in admissions – and having to prove the ROI of a college degree. Lori Lindenberg, District Director of Enterprise Analytics and Strategy at Maricopa Community Colleges, joins us to discuss how Maricopa is addressing these challenges, while delivering on their student-first mission. In today's episode: ·      How Maricopa is trying to reduce wage inequality for minority groups·      Steps Maricopa is taking to address college affordability concerns·      Anticipating and navigating government regulation·      Driving efficiency and accuracy in reporting for accreditation, national education data collection programs and governing board reports·      Effects of student loan repayments on proving your ROIRESOURCES:CreditForecast.com is a joint venture between Equifax and Moody's Analytics. Get actionable consumer credit, economic and demographic data, forecasts and analysis.  Register for Market Pulse webinars to get relevant economic and credit insights to help your business make more confident decisions.

William McKnight, President at McKnight Consulting Group discusses the importance of data maturity in achieving digital transformation and the crucial role of data architects in helping organizations become data-driven.

Dr. Nazha is an internationally known expert and a keynote speaker in the application of artificial intelligence and novel digital technologies such as blockchain, IoT, and others in healthcare, pharma, and life sciences. He is also an internationally recognized expert in treating patients with leukemia. His research focuses on the use of artificial intelligence, machine learning, and deep learning to translate genomic and complex healthcare data into useful clinical tools that can improve patient outcomes. He is currently and Executive Director of Early Clinical Development at Incyte. Prior to joining Incyte, Dr. Nazha was a Global Tech Business Development for Healthcare Solutions at Amazon Web Services. He was tasked in building innovative healthcare solutions using machine learning, AI, cloud computing and other digital services to accelerate the adaptation of digital technologies in healthcare. Prior to joining Amazon, Dr. Nazha was the Director of the Cleveland Clinic Center for Clinical Artificial Intelligence and an Associate Medical Director at Enterprise Analytics. He was also an Assistant Professor of Medicine at Lerner College of Medicine/Case Western Reserve University and an Associate Staff at the Department of Hematology and Medical Oncology at Taussig Cancer Institute, Cleveland Clinic.

In how many jobs can you say data saved a life? Research and analytics in healthcare are starting to catch up on the vast amount of available or unused data. There's also the development of strategies and technologies to gather data from their patients' EHRs and import external information that could fill in blanks in their social determinants of health. In this episode of Straight Outta Health IT, Rachini Moosavi, Vice President of Enterprise Analytics at UNC Health, talks about the value of health and environmental data and how their insights can drive transformation in healthcare for better outcomes. Christopher brings to the table the issue of access to quality care, another challenge related to social determinants of health for many patients. He reads an excerpt from a Wellesley Institute document on how healthcare institutions must build health equity throughout care planning, delivery, and investment that specifically address disadvantaged populations or key access barriers. Rachini mentions the importance of equity and inclusion groups to ensure that the processes, technology, and people working in a health system are doing their best for every patient. She also believes it is vital for the medical workforce to be representative of the communities it serves. Rachini explains how at UNC Health, data is gathered with an understanding of social determinants of health and how acknowledging them can positively impact outcomes. Its leaders believe in the power of data, enabling its research community with it. They are interested in ensuring that all their entities are supported and that the people and processes in their workforce have the required information to be successful. She speaks of the implementation of UNC Health's EHR and the construction of a robust data warehouse that allows them to do better research. After COVID, she also realized how sharing data dashboards across health systems can help data-driven leaders to do more. Rachini began her career interested in the clinical side of healthcare, but after some time, she found a home in healthcare data and analytics. She shares how, for her, a career is a journey with twists, turns, and several stops where one finds their passion. Tune in to this episode and be open to receiving significant healthcare data and analytics lessons from Rachini! --- Support this podcast: https://anchor.fm/christopher-kunney/support

As health systems across the country look for enhanced security and efficiency, we've seen an increase in their use of moving applications to the cloud and leveraging cloud analytics.In our next episode, we're happy to welcome Craig Schwabl, VP of IT Digital Solutions and Enterprise Analytics to share his team's journey to the cloud at University Hospitals in Cleveland, Ohio.

Tina Burbine, Vice President of Care Innovation and Enterprise Analytics at Healthlink Advisors, speaks with host Dr. M Christine Stock, Managing Director of Medical Affairs at Health2047. Tina has over 25 years of health IT experience living at the intersection of care management, clinical innovation, and data. They discuss the concept of hospital care at home with a deliberate focus on the importance of data, innovation, and transformation.

Today on SSONext, host Barbara Hodge sits down with Venkat Raghavan - a leader in the analytics industry who started as a Java developer and went on to work with some top retailers including Tesco, Best Buy, Walgreens, and Walmart to solve their problems through the power of data and algorithms. His passion is setting up analytics as a capability.  Venkat currently serves as Associate Director & Global Head of Enterprise Analytics at Tesco Venkat and Barbara dig into: ✅ Why communication is the most challenging piece✅ How to discover and solver for pain points✅ What is good talent in the GBS industry and how to recognize it For the full details on that and a lot more,

El Paso Electric's Enterprise Advanced Analytics team evolved out of a group working in power generation. It all started when they recognized an onerous process for collecting data for regulatory and compliance filings. They were dedicating a vast amount of time sifting through large datasets to find what they needed, so they decided to build an application to streamline data collection and availability. The result was the Generation Event Application Recorder (GEAR). With the success of the GEAR project, these data enthusiasts secured executive buy-in to launch the Enterprise Advanced Analytics team. Nadia Powell, Director of Enterprise Advanced Analytics, and Aaron Arzaga, Sr.Data Science and Business Intelligence Analyst, championed the GEAR project. On this episode, Nadia and Aaron share how they pulled the dashboard together and proved to their executives that analytics was worth an investment.

A discussion with Melinda Borrero, Director, Enterprise Analytics Consulting, Chick-fil-A. Also prior roles at Ipsos, Kantar, and GFK #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #chickfila #chick-fil-a #ipsos #kantar #GFK

The flexibility of software oriented data workflows is useful for fulfilling complex requirements, but for simple and repetitious use cases it adds significant complexity. Coalesce is a platform designed to reduce repetitive work for common workflows by adopting a visual pipeline builder to support your data warehouse transformations. In this episode Satish Jayanthi explains how he is building a framework to allow enterprises to move quickly while maintaining guardrails for data workflows. This allows everyone in the business to participate in data analysis in a sustainable manner.

Kassim Hussein, Head of Enterprise Analytics at Cleveland Clinic London, shares how he overcame an internal skills shortage to set up the clinic's data and analytics function When Kassim Hussein was offered the chance to build the analytics function for US-based hospital group Cleveland Clinic's new UK arm, he jumped at the opportunity. As Head of Enterprise Analytics at Cleveland Clinic London, he'd gain leadership experience while sinking his teeth into an exciting new challenge. “I realized this is a chance to start a new healthcare system, from scratch, in London,” Hussein recalls. “You're not going to get this opportunity many times in your life!” But as Hussein says in this week's Business of Data podcast episode, the COVID-19 pandemic created unexpected challenges as he set to work establishing the new data and analytics unit. Overcoming a Skills Shortage with Vendor Support Cleveland Clinic is a US-based hospital group that also specializes in medical research. Its outpatient center was opened in Marylebone in September. This will be followed by a 184-bed hospital next year. Before the center could open its doors, one of Hussein's first priorities was to set up an enterprise data warehouse (EDW). This would help the organization capture key strategic data sources in one governed location that would also feed self-service analytics tools. Hussein says working virtually with different vendors was a challenge. But he also says doing so was essential to address the limited resources his team had in-house. “Because of GDPR, we had to build our own processes, working with vendors to make sure we have the right capabilities from day one,” he recalls. “Remember, I joined the team virtually and this came with many challenges. I was lucky that we had a big project support team (based in Cleveland, USA) and some contractors. But finding the right local skills was the biggest challenge.” “We use [e-health cloud-based software] Epic for our medical records management system,” Hussein continues. “It's an American tool. So, only a few healthcare providers use it in the UK. Finding someone with the standard BI skills and experience plus knowledge about Epic is near impossible.” “Because of the nature of our situation, one has to get their hands dirty to cover the internal skills gap,” Hussein adds. “It's a bit of a hybrid role, right now. So, I have to do SQL scripting [and] Tableau visualizations. I'm leading big meetings with stakeholders, but I'm loving it.” “If we want to make London more attractive to BI analysts, we would have to invest in training and development,” Hussein adds. “The analysts also need to be interested in upskilling themselves.” Next Steps for Analytics at Cleveland Clinic London With the hospital's basic analytics systems up and running, Hussein says the next step is laying the foundations Cleveland Clinic London will need to branch out into AI and machine learning. “The data quality has to be really accurate; if we want to build models, the data has to be fit for purpose,” Hussein says. “We want to understand the data lineage and we need a genuine u

You may not have a formal “portfolio management” function within your data science team, but in all likelihood, you're executing some of its key components already. But being more intentional around portfolio management can pay big dividends. Without it, you could be missing out on a powerful and holistic way of demonstrating the value your team provides to the business. In this episode, Katya Hall, Director of Enterprise Analytics at McKesson, explains how the portfolio management process sets the groundwork for defining KPIs that track the actual value derived from predictive models and insights. Plus, she shares her thoughts on a process for validating model accuracy and managing risk. We discuss: - Tips for working with business counterparts - Data science portfolio management - Model risk management - Supply chain analytics Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts. Can't see the links above? Just visit domino.buzz/podcast for helpful links from each episode.

For the next three weeks, #TechVibeRadio will be coming at ya from the new Huntington National Bank in The #StripDistrict. Tune in Sunday, Oct. 10, at 6 a.m. to 100.1 FM | AM 1020 KDKA to hear from Kevin L. Miller of LegalSifter.  Learn how its products use artificial intelligence and human expertise to help people negotiate contracts and organize documents faster, safer, and more affordably. Plus, Huntington's Rob Carnell, Sr. VP of Enterprise Analytics, will join us to overview his teams use of AI and Machine Learning at the bank. Mark your calendar for these Strip District Shows: Oct. 17 - Aspinity, Inc. Oct. 24 - IAM Robotics and SteelBridge Labs

If you are a growing siloed organization, you will have puddles of data sitting inside every department. You could also have hundreds of unused reports on top of your ERP system that you might not even be aware of. If you want to avoid growing pains because of data, you need centralized ownership and strategy with clearly identified systems for their roles and responsibilities.In today's episode, we invited a panel of cross-functional experts for a live interview on LinkedIn who brings significant expertise to discuss enterprise analytics planning. We covered many grounds in this episode, including identifying enterprise datasets, their ownership, and appropriate systems to host them. Finally, we discussed the importance of data lakes and their importance in an organization, and how to avoid too many reports on top of ERP systems as they could be expensive.For more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs.rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform.

The CPG Guys, Sri & PVSB, are joined in this episode by Suresh Ganapathy, VP of Enterprise Analytics at Danone &  Anil Kaul CEO of Absolutdata, an Infogain company. Absolutdata transforms how the world makes decisions by building AI-based scalable solutions enabling their clients to compete at a higher level and see the results in their top and bottom line.This is the the second in a two-part partnership with Absolutdata.Follow Suresh Ganapathy on LinkedIn at: https://www.linkedin.com/in/suresh-ganapathy7869/Follow Danone online at: http://danone.com Follow Absolutdata online at: http://absolutdata.comFollow Infogain online at: http://infogain.com Suresh & Anil answer these questions:1) Tell us a little bit about yourself, Suresh? What is your role as VP of enterprise analytics at Danone and what are some of the priorities you are personally addressing for the company? How do you interact with the Absolutdata?2) Anil - Take us through how you go about answering the important question when you work with a brand - how does what we do deliver value for this particular brand with that need state?3) Suresh - Why did you choose absolutdata specifically? How are they delivering value for you everyday in the work you did with them?4) Anil - How did the project and work with Danone come about? What key offering do you think made the difference in why they went with you vs others? 5) Suresh - Working on scaled data is costly, it's hard work, it's time - What would you say is the biggest advantage to working with Absolutdata for you?6) Suresh What are consumer experiences Danone is enabling for the consumer with this partnership? Could you elaborate how the consumer is winning?7) Anil - whats next for Absolutdata, what does the roadmap look like given digital - how are you enabling ecommerce in particular? 8) Suresh - how is Absolutdata in partnership with you on digital, ecommerce with data & analytics.Please provide the CPG Guys feedback at http://ratethispodcast.com/cpgguysCPG Guys Website: http://CPGGuys.comInstagram: http://Instagram.com/cpgguysDISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent. CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast. 

In part 2 of our interview with Abhi Seth, he tells us that part of his role is to really drive scale for analytics across the ten businesses within TE. We learn how the adoption of analytics is enabled throughout the organization and a big component of that is driving, understanding and building capability within the Centre of Excellence (COE). He says the first 90 days in the COE is about building capability and being able to have experts in data science, cloud, dev ops, ML Ops, data visualization, user experience, storytelling, and data engineering. Abhi says his focus is now on building a small COE team within each of the businesses and moving to a “hub & spoke” model as the analytical maturity of the organisation improves. Abhi goes on to tell us about how he creates and enables “seed teams'' and how it's important to ensure the problems you're solving are creating value for the company and are tied to a strategy. He also says you should have a committed executive sponsor. Throughout the episode we discuss the results of our poll questions: Does your organization have a data science or analytics Center of Excellence? How is your organization's cloud migration going? Does your organization centrally manage the delivery of analytics across the enterprise? Does your organization measure the success of the analytics function? Does your organization develop their analytical talent? Enjoy the show! Read the full episode summary here: Ep 163 Thank you to our sponsor, Talent Insights Group. --- Send in a voice message: https://anchor.fm/datafuturology/message

Abhi Seth started his journey as an industrial engineer which he describes as his passion, and then found his way into research. His PhD is in mechanical engineering, and human-computer interactions, which he says was kind of a double major PhD. Abhi started working with virtual reality applications for mechanical engineering and says back then it was about how to simulate environments and models where you create a suspension of disbelief for a user. So he set out to prove that VR was also valuable in solving real industrial problems which led him to join the Global R&D centre for Caterpillar, the world's largest mining construction equipment manufacturer. Abhi currently leads a global data analytics team for TE Connectivity, a $14B electronics manufacturing company. He says he is always up for a challenge and learning something new, one of the reasons he decided to join TE Connectivity. We learn from Abhi about the purpose of centres of excellence, the differences between data science COE, and a centralized department and how do you measure success with analytics. Enjoy the show! Read the full episode summary here: Ep 162 Thank you to our sponsor, Talent Insights Group. --- Send in a voice message: https://anchor.fm/datafuturology/message

Hello and welcome back to Episode 34 of the Supply Chain Podcast. Thank you for tuning in, don't forget to come back every Friday for new episodes featuring leaders in the supply chain! On this week's episode, we are joined by Katya Hall, Director of Enterprise Analytics at McKesson Corporation. For those who aren't familiar, McKesson is a global healthcare company with the responsibility of pharmaceutical distribution in supply chains, health IT systems and care management tools. Listen along to hear us discuss the importance of advanced data analytics in order to pandemic proof supply chains to avoid the challenges we faced due to COVID-19. Don't forget to subscribe! Check out our socials: LinkedIn: @Supply Chain Digital Twitter: @SupplyChainD

Korri Jones is a Sr Lead Machine Learning Engineer and Innovation Coach. in Atlanta, Georgia. Prior to his work, he worked as a Business Analyst and product trainer for NavMD, Inc., was an adjunct professor at Roane State Community College, and instructor for the Project GRAD summer program at Pellissippi State Community College and the University of Tennessee, Knoxville. Korri is an alumnus of UT's Haslam College of Business' full-time MBA program where he concentrated in Business Analytics. While at UT, he was chosen two years in a row to compete in the National Black MBA Marketing case competition sponsored by Fiat Chrysler. As a part of the competition, he won the best presenter award. During his time at UT, Korri also served as an MBA coach for the Tennessee Organization of MBA's Ernst & Young Case Competition. Before earning his MBA from UT, Korri earned a bachelor's degree in Mathematics from Alcorn State University, where he served in leadership roles for several organizations and was recognized for outstanding scholarship and community service. Korri has a passion for giving back and sharing his love of learning with others. He has dedicated himself to making a difference in his community through service. He has been a member of the National Urban League for nearly 10 years and served as the inaugural chairman of the Urban League of Greater Atlanta Young Professionals' Innovation and Technology Committee for two years. During his free time, Korri and his wife enjoy traveling, eating exotic foods, and occasionally playing monopoly.  Community-wise, Korri teaches coding classes, serves on the board of the UT Haslam College of Business MBA Advisory Council, and is the President of the Board of Directors for Out of Hand Theater. Korri also finds time to continue his love of teaching by visiting and speaking with students in classrooms across Atlanta.

This podcast interview focuses on the approach to product innovation to grow remarkable momentum in enterprise software by creating a swell that keeps building because of bottom-up user demand. My guest is Rick Hall, CEO of AginityRick Hall is a software entrepreneur focused on the analytics market. He has led the development of over a dozen software products and taken several companies from the early stage to an eventual sale.He founded Kairn Corporation in 2018 to help organizations, plan and implement intelligent products and systems. Together with his co-founders he have defined a "Pathway to Intelligent Systems." to guide companies on their journey.In support of this journey they begun to invest in companies that will simplify the process of building and implementing analytical programs. That has led to the purchase of Aginity in March of 2020 where Rick has taken over the CEO role as a result. Aginity was an early innovator in Analytics Management. They are on a mission reinventing the Analytics Engine Room and with that do with the challenges of complex architectures which are dependent on highly skilled engineers, frequently cost millions of dollars, and are not flexible to move at the pace of business.This inspired me, and hence I invited Rick to my podcast. We explore what’s broken in the world of Enterprise Analytics and why the millions and millions of investments underdeliver. We dig into the effects of switching to a product-led growth approach, and how creating a community of fans helps drive multiple X growth with a minimal marketing budget. Last but not least we talk about the secrets to staying resourceful – and resilient for anything that’s next to come. Here are some of his quotes:I think the three key areas of a SaaS company are Sales, Marketing, and Product and Engineering. Product and Engineering is a natural tension. So, I always say that if the two heads of those two groups don't kind of love each other and hate each other, then there's something wrong. Because product is about the idea of anything that I could do - big ideas. And engineering is about the world of the possible. And there's a tension built in there.And then sales is the third piece of that, because sales and marketing is about the demands of the customer. And so, putting the three things together in a world of what I like to think of as constructive conflict is really, really key. I think that is probably one of the most important elements of success for a company.During this interview, you will learn four things:That real value unlocks when you realize it’s not about solving a users’ task in isolation, but about how they effectively collaborate with the business How introducing a freemium model is not about giving away your software, but about creating software that users loveHow to convince even the most stubborn C-level decision makers about the value of your product even if they’d never use itWhy to succeed in SaaS is about constantly evolving the interplay between a big vision and what people can actually achieve on a stretched goal.For more information about the guest from this week:Rick HallAginity Website See acast.com/privacy for privacy and opt-out information.

In our final episode of the year, we reveal the results from our very own Word of the Year survey of communicators. Dino Delic, Meltwater's director of enterprise analytics and insights, joins us for that conversation and then goes on to highlight how purpose-driven some of the biggest and best-known brands have been in their pandemic-era communications. And for the Red Questionnaire segment, we chat with Bukola Garry, Havas' manager of diversity and inclusion, about how to make strides toward eradicating racism after this tumultuous year. She also tells us what she considers to be an emotional superpower, and shares the personal mantra that keeps her invigorated for life—spoiler alert: it's a great one.   Quotes: “To me, the word that would describe [2020] is backlash. It's a negative word. So I don't love it for that sense, because I do think of myself as a little bit more hopeful and optimistic about 2021… But backlash to me, of course, has been political backlash about governments not doing the right thing with COVID, or doing things too strongly, or not enforcing things. … But when a company or a corporation or a brand was involved in a backlash and not a political figure, it was usually because they were trying to do something that they felt like was the right thing to do.” —Dino Delic, Director of Enterprise Analytics and Insights, Meltwater “There is so much pressure on companies to do the right thing, and the right thing is so subjective.” —Dino Delic, Director of Enterprise Analytics and Insights, Meltwater “First and foremost, I would say authenticity [is required of brands who navigate successfully through a crisis]. If they're doing it just to address a challenge, or if they're doing it to avoid a backlash, or if they are doing it just because they think that that's what people want, that's when they've typically gotten themselves into trouble.” —Dino Delic, Director of Enterprise Analytics and Insights, Meltwater “In an effort to try to help customers navigate through this tricky concept of injecting purpose into a brand, we try to take what is squishy or qualitative and make it quantifiable and measure the things that are typically subjective. And we found, like other times when we've developed metrics like this, it's entirely possible to do so.” —Dino Delic, Director of Enterprise Analytics and Insights, Meltwater “There's a great quote that says, ‘When you're accustomed to privilege, equality feels like oppression.' And I just think that the temptation with uncomfortable conversations or topics is to try and push past them. Like we try and flick a switch or move on to something you know. But in reality, there are people that are constantly being retraumatized and made to feel less than … The reality of racism is just that it's a reality. And until we're all triggered by it, I think real change is still so far away.” —Bukola Garry, Diversity & Inclusion Manager, Havas “There have recently been more moments and moments in time when we were having to check into our humanity… so many opportunities for us to really do some self-reflection, to ask ourselves, ‘How do I be more of an ally? How do I be more of a supporter, and how do I kind of recognize and validate, and learn about experiences that are different from my own?'” —Bukola Garry, Diversity & Inclusion Manager, Havas   Connect with Red Havas: Follow Red Havas for a daily dose of comms news:  - Twitter - Facebook - Instagram - LinkedIn Subscribe: Don't forget to subscribe to the show using your favorite podcasting app. - iTunes - Spotify What Did You Love? What Would You Like to Hear About Next? Remember to Rate and Review today's show; we'd love to hear from you!

¿Quieres una herramienta para controlar cómo van los principales objetivos de tu negocio? Pues aquí la tienes. Se llama Google Data Studio y con ella vas a poder medir todo lo medible en tu web o tienda online: identifica problemas y objetivos, monitorízalos y genera informes con los que poder tomar mejores decisiones... ¿Y quién te va a explicar cómo conseguir todo eso? Pues nuestro maravilloso SEO Manager Pablo Segade, que conoce esta herramienta de Google mejor que nadie. Ponte los cascos y a por ello. En este episodio hablaremos de: -Qué es Google Data Studio y quién debe utilizarla. -Base de datos básica: Excel o Spreadsheets. -Ventajas de utilizar Google Data Studio como dashboard de tu negocio. -¿Qué medir con Google Data Studio? -Cómo presentar los datos. -Creación de informes concretos sobre: Creación de embudos de compra. Creación de embudos de venta. Generación de inventarios. Evaluación de proyectos. Presentación de informes y datos a clientes. Enlaces y recursos recomendados en el programa: -Estudio sobre la utilización de la inteligencia empresarial: https://www3.microstrategy.com/getmedia/db67a6c7-0bc5-41fa-82a9-bb14ec6868d6/2020-Global-State-of-Enterprise-Analytics.pdf -Noticia resumen del estudio anterior: https://www.forbes.com/sites/louiscolumbus/2019/10/21/the-global-state-of-enterprise-analytics-2020/?sh=a58b909562d6 -Fórmulas y expresiones que se pueden utilizar en Google Data Studio: https://support.google.com/datastudio/table/6379764?hl=es -Si no solo quieres escuchar nuestro podcast, sino ver nuestras caras (y nuestro salón, de paso), aquí tienes nuestro canal de YouTube: https://www.youtube.com/channel/UC9BZ-VU8aDsSriHU5BfWwXg -¡Y también el de Instagram! https://www.instagram.com/marketingparadise/

Ivan Alvarez is the Vice President of Big Data and Enterprise Analytics at NCR Corporation. NCR is the world's leading enterprise technology provider of software, hardware and services for banks, retailers, restaurants, small businesses, telecom, and technology. Ivan shares the kind of challenges he and his team solve working with 20 million endpoints and securing and servicing the world’s payment backbone. Ivan also shares how he fosters innovation within the industry and discusses going from a strictly on-premise environment to a hybrid-cloud solution. Show Notes: NCR’s website On tap for today’s episode: Columbian coffee and Trader Joe’s Dark Roast Coffee Contact Us: https://www.hashmapinc.com/reach-out

This week's episode is with Brendan Watkins from Redwood Shores. Brendan is from Ireland and made his way to the Bay Area after living in New York City. He spends his days sharply dressed at Stanford Children's Health as their Director of Enterprise Analytics, then spends his nights and mornings running. He is a sub-3 hour marathoner who participated in the Triple 8 Quest––8 marathons in 8 days on 7 continents plus New Zealand. In this episode, we discuss how Brendon started running, his quest to win a marathon, and his epic running and traveling adventures. Some highlights from our conversation: Balancing work and running at a high level Learning to love running on the streets on New York City Breaking 3 hours in the marathon in his late 30s What it was like running 8 marathons in 8 days on 7 continents plus New Zealand, especially for someone who is “not a good flyer” Winning a marathon on the last day of the Triple 8 Quest in Antarctica. How the Triple 8 Quest changed him How running helps him clear his mind Follow Brendan on Twitter @brendanwatkins and follow his training on Strava. You can read his blog about the Triple 8 Quest here https://brendanstriple8quest.blogspot.com/ Follow Runners of The Bay on Instagram and Twitter @Runnersofthebay. Check out our website runnersofthebay.com and send us an e-mail at runnersofthebay@gmail.com. Music is California by The Spectacular Fantastic.

As more enterprises embrace cloud transformation, IT and data teams face increased pressure to harness the power of data and analytics for business intelligence. Hybrid cloud and multi-cloud strategies are key to big data analytics. New data regulations and cybersecurity vulnerabilities are creating roadblocks for IT teams looking to use data for business intelligence, which is why data virtualization and data governance are top priorities in 2020. AtScale is an intelligent data virtualization provider for advanced analytics. The Global 2000 relies on AtScale to provide a single, secure, and governed workspace for distributed data. The AtScale platform powers business intelligence and machine learning resulting in faster, more accurate business decisions at scale AtScale Co-founder, Sarah Gerweck, joins me on Tech Talks Daily. She previously served as chief architect and has been instrumental in the design and development of AtScale's award-winning technology and creation of a global development presence. Before AtScale, Sarah was lead architect at Yahoo, where she was responsible for the design, deployment, and management of the company's Advertising Insights product, including the world's largest Analysis Services deployment. Sarah provides an overview of the company, its founding story, and the problem it's trying to solve in the marketplace. She also discusses the recent company announcements, including AtScale's Covid-19 project and platform updates. We also talk about her journey and what it's like to be a C-level female executive in the notoriously male-dominated tech industry.    

I recently posted a single question on Linkedin and Twitter asking a very simple question. What's your number one tip for staying motivated while working at home? It was a popular post and I wanted to dig in further, so I recruited a panel of 5 executives to discuss the topic and at the same time, answer some fun and embarrassing questions along the way.If you are looking for motivation to get out of bed in the morning, ideas on how to work from home with teams scattered across locations, or just a good laugh to questions like "have you taken a conference call into the bathroom", or "what's your most embarrassing moment so far working from home", then listen in.My panelists include:Alex Panousis – CEO, CaratGabe Dunlop – CMO, Diply.comMark Jordan – Former VP Brand Strategy & Chief Communications Officer, Kids Help PhoneDaniela Dighi - Director, Analytics Innovation Program, Enterprise Analytics, CIBC - Luvleen Sidhu - Co-Founder & CEO, BankMobileRemember to subscribe to this Podcast on your favorite platform and visit me at http://www.corbyfine.com

In episode 24 of EnterpriseReady, Grant joins John Whaley of UnifyID to discuss the process of monetizing university research, how technology enables businesses, and how inherent human behavior threatens security.

In episode 24 of EnterpriseReady, Grant joins John Whaley of UnifyID to discuss the process of monetizing university research, how technology enables businesses, and how inherent human behavior threatens security. The post Ep. #24, Enterprise Analytics with John Whaley of UnifyID appeared first on Heavybit.

In episode 24 of EnterpriseReady, Grant joins John Whaley of UnifyID to discuss the process of monetizing university research, how technology enables businesses, and how inherent human behavior threatens security.

In episode 24 of EnterpriseReady, Grant joins John Whaley of UnifyID to discuss the process of monetizing university research, how technology enables businesses, and how inherent human behavior threatens security. The post Ep. #24, Enterprise Analytics with John Whaley of UnifyID appeared first on Heavybit.

Mark Rittman is joined by Bruno Aziza, Group Vice President, AI, Data Analytics & Cloud at Oracle to talk about the recently-updated product roadmap for Oracle Analytics, Oracle BI in the marketplace, recent acquisitions in the analytics marketplace and the recent Oracle Analytics Summit at Skywalker Ranch, California.Oracle Analytics SummitOracle Analytics Summit RecapOracle Analytics for Applications: Oracle Analytics Summit Product TourOracle Analytics: Honing 18+ products down to a single brand

Mark Rittman is joined by Bruno Aziza, Group Vice President, AI, Data Analytics & Cloud at Oracle to talk about the recently-updated product roadmap for Oracle Analytics, Oracle BI in the marketplace, recent acquisitions in the analytics marketplace and the recent Oracle Analytics Summit at Skywalker Ranch, California.Oracle Analytics SummitOracle Analytics Summit RecapOracle Analytics for Applications: Oracle Analytics Summit Product TourOracle Analytics: Honing 18+ products down to a single brand

Bei uns im Podcast ist Rouven Morato, Senior Vice President & Head of Enterprise Analytics bei der SAP SE. Sein Vortrag mit dem Titel "Das Fundament für Best in Class Analytics ist der Wegbereiter für Intelligent Enterprises" fand auf dem Congress der Controller 2019 sehr positive Resonanz. Im Podcast besprechen wir folgende Themen:  Unternehmen müssen intelligenter werden, um im digitalen Zeitalter erfolgreich zu sein Wo stehen wir heute, wie kommt man da hin und welche Rolle spielt das Thema Analytics auf diesem Weg? Einblick in die „Reise“ der SAP hin zu einem Intelligent Enterprise    Der Performance Manager Podcast ist der erste deutschsprachige Podcast für Business Intelligence und Performance Management. Controller und CFO erhalten hier Inspirationen, Know-how und Impulse für die berufliche und persönliche Weiterentwicklung. Weitere Informationen zu den Machern des Performance Manager Podcast, Peter Bluhm und Alexander Küpper, finden Sie hier: http://bit.ly/2u11IW5 Unsere Bitte: Wenn Ihnen diese Folge gefallen hat, hinterlassen Sie uns bitte eine 5-Sterne-Bewertung, ein Feedback auf iTunes und abonnieren diesen Podcast. Zeitinvestition: Maximal ein bis zwei Minuten. Dadurch helfen Sie uns, den Podcast immer weiter zu verbessern und Ihnen die Inhalte zu liefern, die Sie sich wünschen. Herzlichen Dank an dieser Stelle! Sie sind ein Fan von unserem Podcast? Sie finden uns auch auf diesen Kanälen: Facebook: https://www.facebook.com/ATVISIO/ Twitter: https://twitter.com/atvisio Instagram: https://www.instagram.com/performancemanagerpodcast/ Xing: https://www.xing.com/profile/Peter_Bluhm Xing: https://www.xing.com/profile/Alexander_Kuepper/ iTunes: https://itunes.apple.com/de/podcast/der-performance-manager-podcast/id1202698232?mt=2 Soundcloud: https://soundcloud.com/atvisio Webseite: https://atvisio.de/pm-podcast

In this episode of TAG Data Talk, we talk with a panel of data science and analytics professionals from Chick-fil-A about Advancing Analytics Capabilities. Joining us is Lindsey Barron, Executive Director, Enterprise Analytics, Jason Joyner, Director, Machine Learning & Advanced Modeling, Enterprise Analytics, and Melinda Borrero, Sr. Principal Team Leader, Analytics Consulting, Enterprise Analytics.

Steve Griffiths, Ph.D., MS, chief operating officer, and SVP, Enterprise Analytics at Optum (optum.com), outlines the many changes and improvements that his company, Optum, seeks to bring to the healthcare industry. Griffiths has a long history of leadership as a health IT executive and his passion is firmly rooted in actionable health care intelligence that brings innovation and change to the increasingly complex health ecosystem. Griffiths uses his experience in the health industry to assist providers as they push to improve practices to value-based care. Griffith believes it is important to treat people, not symptoms, and this care philosophy is the cornerstone of his work. Griffiths has many years experience in the health industry, most recently with Optum, but before his tenure there he was the director of healthcare informatics at Blue Cross Blue Shield of Minnesota. Griffiths holds a BS in Mathematics and Statistics from St. Olaf College, an MS in Biostatistics from the University of Washington, and a Ph.D. in Health Services Research, Policy, and Administration from the University of Minnesota -Twin Cities. Griffiths provides an overview of Optum, a health services company within United Health Group. He explains the various divisions of Optum and its main branches: Optum Health, Optum Rx, and Optum Insight. As Griffith explains, Optum provides health services across the entire health care system. Their health branch assists individuals and families, helping them attain the high-quality care they deserve, as well as assisting with the management of their prescriptions and health care finances. And Optum works with industry organizations, health plans, and providers as well, tackling the many and diverse challenges in modern healthcare. Their OptumRx branch acts as a pharmacy care services company that seeks to improve and maximize efficiency in pharmacy benefit management. The Optum system allows doctors to make informed decisions, staying current on all the latest developments. And their Data and Analytics branch utilizes the latest groundbreaking technology in artificial intelligence including natural language processing, machine learning, and neural networks to tailor healthcare solutions for specific needs. Optum essentially helps to transform hard data into insights. Griffiths refers to their data analytics as Optum IQ, as that is the center of the intelligence that drives all of their businesses, through the use of data, analytics, and expertise—all supported by technology.  The technology guru delves into the applied spaces that they see AI advancing, across the spectrum of healthcare industry entities. He discusses the predictive nature of technology that may direct a course of action, such as identifying diabetes patients sooner, predicting possible opioid usage, predicting probabilities for heart failure, and more, essentially assisting doctors, helping to provide a clearer, fuller picture of patients' health profiles. Additionally, Griffith adds, the data can provide for more efficiency in the overall healthcare process as well, which helps everyone to get the care that they need faster. Griffiths outlines the specifics of using AI to additionally verify patient information and identity, to ensure safety by helping to avoid human error in records and processing, etc. The AI healthcare technology expert talks about the future advances that are coming in the industry as the tech develops further. From advances within cloud services to clinical programs and clinical prediction of disease, prediction of future costs, and more, the many possibilities for improved care are exciting and Griffith expects Optum to be at the center of innovation within the industry.

A conversation with Ed Marx, Director of Enterprise Analytics at Vanderbilt University Medical Center, about his career, move into healthcare and current work at Vanderbilt University Medical Center.

Today utilities have the potential to harvest a wealth of information to help them better understand, analyze and control the grid. We're at the beginning of experiencing the explosive area of Grid of Things, where devices not only perform their fit for purpose design, but are a critical part of a holistic mesh of interconnectedness to more effectively deliver safe and reliable electric service. The plethora of data that is being captured not only needs to be structured, organized, and accessed but also to be analyzed to truly extract greater value. The challenge now is not how to gather data, but rather what to do with all of it. Join host and EnerNex Vice President Ron Chebra in this episode of The Energy Exchange as he explores this topic with special guest Raiford Smith, Vice President of Energy Technology and Analytics at Entergy.

In this episode, Mike is joined by Dan Magestro, Senior Manager in West Monroe Partners' Advanced Analytics practice, to talk about the Enterprise Analytics Landscape required to support data-driven CX. In our discussion, Dan walks us through some of the core components of the Enterprise Analytics Landscape, including the importance of having an articulated strategy around data and analytics within the organization, the right leadership and governance, and a foundational set of capabilities and technology to shift an organization towards a "data-driven" organization.

Why does analytics matter? As "big data" and "data science" become increasingly mature practices, businesses have started to demand ROI from their investments in analytics. In fact, senior stakeholders at some companies cast doubt on the need for data science. Gordon Silvera, a Senior Data Scientist on Spotify's Data SWAT squad, discusses why enterprise analytics is essential to sustained company growth. He talks about a framework that can guide companies towards best-in-class enterprise analytics, as well as show how Spotify has brought this framework to reality.

In this episode Mike discusses: The impact of companies averaging over 90 SaaS Applications Using Tableau for organizational transformation Centralizing international marketing programs The most important factors in assembling the stack

Jennie Carlson is the Executive and Chief Human Resource officer at US Bancorp.  They are the 5th largest bank in the US, with 67,000 employees.  Jennie has been with the company for 15 years and able to provide valuable insight in this week's podcast. The HR department has a pyramid of shared services.  The normal HR functions such as payroll, employee relations, and recruiting are along the baseline. As the pyramid climbs higher, talent development, advancement opportunities are the focus.  At the very top, the message of how US Bancorp can use people and talent to drive the strategy of the organization cascades down and drives the actions of the entire department.  Other topics this can include are organizational design and fostering a great employee experience to lead to a great customer experience. The role of HR has evolved over the past few years.  The department has seen a shift from an ‘order taker’ mode to become strategic partners that help set the corporate strategy and the organizational design. Employee experience is a huge focal point.  This can include technology, flexible work arrangements, and employee engagement.  Jennie shares how US Bancorp uses engagement surveys from their employees, which they use as a marker for continuous improvement.  Traditional HR Metrics include employee engagement, as well as, other topics such as retention and exit interviews. Moving forward, US Bancorp is moving their analytics team from HR to strategy.  This allows data to be pulled from the same sources, but it is being looked at differently, from the lens of the customer analytics department.  Jennie believes that analytics should be deciphered in the best suited department.  Companies that have larger marketing and customer analytics departments may be able to provide newer insights than smaller HR departments can.  This can allow cornerstones of data, like the employee survey, to be drilled down as much as possible.  Another area is making sure they are keeping in line with their ethical culture.  The future of analytics also allows for characteristic and trend tracking in many employees.  Keeping ahead of trends allows companies to gain a full picture of what is going on inside their company, allowing them to continuously improve to create a better organization. What you will learn in this episode: How HR Is Leveraging Analytics What Type of Data is Collected Analytics for Hiring Skills Needed to Build an Analytics Function How HR Can Work With IT How US Bancorp Provides Value to Their Business Partners How Transitioning Employees for Flexible Work Effects Management Link From The Episode: Learn More About U.S. Bank    (Music by Ronald Jenkees)

Armando Acosta, Hadoop and Big Data Subject Matter Expert for Dell discusses the launch of the Dell PowerEdge R930 with Intel® Xeon® E7-8890 V4 processors and how it is designed for the most demanding enterprise applications such as in-memory databases, enterprise resource planning, and online transaction processing. Armando highlights how Dell customers are looking for maximized application performance and the Dell PowerEdge R930 provides users with incredible predictive failure analysis, which helps customers analyze data quickly and take action before problems occur. Armando discusses the trend of big data analytics providing businesses with faster insights to help improve their business and stay ahead of their competition. To learn more go to www.dell.com/poweredge or follow Armando on Twitter at https://twitter.com/armando75.

How can public agencies strengthen a culture of data-driven decision making? We explore that question with Carter Hewgley, the Enterprise Analytics Division Director at the Federal Emergency Management Agency (FEMA). He has been leading data-driven initiatives at the local, state and federal levels for the past ten years. In 2011, he began leading FEMAStat, FEMA’s version […] The post Strengthening a culture of data-driven decision making: An interview with Carter Hewgley, Enterprise Analytics Division Director, FEMA – Episode #93 appeared first on Gov Innovator podcast.