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Adoption, change management, upskilling and the leadership side of AI transformation.
Stalled AI initiatives usually suffer from unclear goals and weak alignment, not weak technology, says Analytic Vizion founder Nelson Davis. He lays out an impact-first planning sequence and five questions leaders can use to get projects moving again.
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
Analysis · AI Governance & Trust
By The AI Enterprise Magazine Team ·
Opinion · People, Culture & Leadership
By The AI Enterprise Magazine Team ·
The 200-year-old insurer got 91% of its employees using AI, cut claims review from two hours to 15 minutes and built governance that speeds projects up instead of slowing them down. Two Crum & Forster leaders explain how.
By The AI Enterprise Magazine Team ·
Trust in agentic AI trails generative AI by 10 points, and 97% of people override AI recommendations, according to a 2,700-person survey cited by Reggie Townsend of SAS. He argues governance is how enterprises scale human judgment.
By The AI Enterprise Magazine Team ·
Leaders from New Balance, Mastercard, Omnicom, Earnest and Crum & Forster are measuring AI value as token-based costs climb. Their advice: tie AI to business metrics, track cost per outcome, right-size models and build shared platforms.
By The AI Enterprise Magazine Team ·
Opinion · People, Culture & Leadership
Opinion: This week's Pew survey shows worry about AI and jobs climbing even as more businesses pay for AI tools. Leaders who frame AI as headcount reduction are eroding the trust their adoption depends on.
By The AI Enterprise Magazine Team ·
PromptQL's Adam Malone says AI analytics projects fail less from weak models than from missing business context. He laid out six levels of AI adoption, four failed text-to-SQL and semantic layer projects, and why data professionals are becoming context providers.
By The AI Enterprise Magazine Team ·
AI leaders from Snowflake, Revefi and The Coca-Cola Company say most AI pilots stall for organizational reasons, not technical ones. They shared a three-part test for deciding what to scale, the infrastructure that holds up in production, and a 70-20-10 rule for where to spend effort.
By The AI Enterprise Magazine Team ·
Elder Research practitioners argued that AI projects stall on business basics, not models. They walked through four fixes: building leadership data and AI fluency, prioritizing projects by business value, replacing gut decisions with trusted data, and giving AI teams visibility into changes to their source data.
By The AI Enterprise Magazine Team ·
Wendy's FreshAi, built with Google Cloud, now takes 95% of orders at its AI drive-thrus. Product owner Will Croushorn explains how small behavioral signals, Reddit and TikTok posts, and a new 'sorry' metric shape the product, and how the team improved it for customers who stutter.
By The AI Enterprise Magazine Team ·
AI leaders from Walmart, AT&T, Kellanova and TelevisaUnivision describe how they build trust in AI agents with employees and customers, from AI boards and non-negotiable guardrails to the risks of model upgrades and Walmart's plan to anchor every agent to four super agents.
By The AI Enterprise Magazine Team ·
Drawing on about 120 AI projects, Nanonets CEO Sarthak Jain says the few that succeed rely on long, hands-on iteration, human controls, clean data and bottom-up adoption, not budgets or executive mandates.
By The AI Enterprise Magazine Team ·
Data and AI leaders from The Home Depot, Equifax and Mars Wrigley tie every AI use case to a business OKR, trade off speed, accuracy and cost, and argue that AI belongs in the middle of the process, not first.
By The AI Enterprise Magazine Team ·
AI will make leadership more human, not less, argues Analytic Vizion CEO and founder Nelson Davis. He outlines three keystone habits for data and analytics leaders and a simple matrix for deciding when AI should automate, augment or advise on a decision.
By The AI Enterprise Magazine Team ·
GenAI pilots stall because people don't trust them, not because models are weak, argues Snorkel AI Head of Solutions Dennis Panos. He says an evaluation-first process built with subject matter experts took two stalled projects to production in about two months.
By The AI Enterprise Magazine Team ·
Most organizations struggling for AI returns lack readiness, not technology, says Elder Research's Jennifer Schaff. Using a football analogy and client stories, she identifies eight gaps that quietly erode ROI, from strategy misalignment and fragmented analytics to failed adoption and weak data literacy.
By The AI Enterprise Magazine Team ·
AI breaks traditional data governance, say leaders from Quest Software, ADP, WellStar Health System and Carter's. Their fixes include trust scoring for data, governance by design, fast risk assessments and team structures that scale governance without slowing delivery.
By The AI Enterprise Magazine Team ·
Trust in AI comes from transparency, say leaders from The Coca-Cola Company, UnitedHealth Group, The Clorox Company and Randstad Enterprise. They make the case for measuring AI by business value instead of headcount, role-specific training and clear ownership of AI fluency.
By The AI Enterprise Magazine Team ·
Shadow AI is the shadow IT problem again, according to two Airia leaders. They explain why blanket bans fail, how to detect unsanctioned AI at the network, endpoint and application layers, and how to win employees over to approved tools.
By The AI Enterprise Magazine Team ·
Data democratization efforts often stall for reasons that have little to do with tools. Leaders from AtScale, T-Mobile and Mars say success depends on balanced governance, deep data literacy and leadership, and that AI is now exposing every gap.
By The AI Enterprise Magazine Team ·
Generative AI has made low-code and no-code tools far more capable. Leaders from Informatica, ADP, LTK and Baptist Health South Florida weigh faster experimentation against the risks of skipping fundamentals and shadow AI, and describe how data scientists' roles are shifting.
By The AI Enterprise Magazine Team ·
The biggest costs of production machine learning are often idle people, duplicated pipelines and models built before value is proven. Leaders from Tecton, Mosaic Health and JPMorgan Chase's Morgan Health explain how to scale ML while keeping costs in check.
By The AI Enterprise Magazine Team ·
Getting a model working in a notebook is easy; keeping it reliable in production is not. Leaders from Tecton, Emory Healthcare and a BBDO agency say standardization, cross-training, unified frameworks and clear ownership speed the path to production AI.
By The AI Enterprise Magazine Team ·
In a COLLIDE 2024 keynote, Elder Research's John Elder described two crises: findings that do not replicate and data science projects that never reach production. He showed target shuffling, a simulation that adjusts for cherry-picking, and shared change management lessons.
By The AI Enterprise Magazine Team ·
At COLLIDE 2024 in Atlanta, AI Connect co-founder Brian Mink outlined five themes from data executives: feeling behind on AI, board pressure, data strategy, human-centric AI and bias. His central point was that organizational practice has to catch up with the technology.
By The AI Enterprise Magazine Team ·
Trust in AI depends on privacy, security and governance working together. Leaders from TD Bank, TelevisaUnivision, Vertex and Truist weigh in on LLM privacy risks, AI ethics boards, the limits of explainability and why companies should build the cake before adding generative AI as the cherry.
By The AI Enterprise Magazine Team ·
AI and data leaders from Nike, ADP and Yum! Brands look three to five years ahead. They agree that humans stay in the loop, that data can no longer be an afterthought, and that governance only works when everyone who creates data takes part.
By The AI Enterprise Magazine Team ·
How do you open data to non-technical employees without exposing sensitive information? Leaders from Piedmont, The Home Depot, Alteryx and BBDO point to certified data sets, business-owned data hubs, time-limited PII access and a break-the-glass log for health data.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar sponsored by Kumo.ai, leaders from Nike, Citibank, Webster Bank and Pella discussed how generative AI could reshape AutoML. They covered synthetic data, democratizing machine learning, black-box concerns and model risk management.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar sponsored by Daugherty Business Solutions, leaders from Meta, ADP, Verizon, BBDO and Daugherty discussed generative AI privacy, bias and governance. They described privacy by design, cross-functional ethics councils, risk tiering of use cases and continuous monitoring.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Redis developer advocate Savannah Norem defined a data science trend as how one piece of data relates to another. She used ice cream sales, Netflix recommendations and weather to teach correlation versus causation and prediction.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Piccles founder Chris Bent had attendees draw answers about their mood, AI skills and the future of AI. The shared drawings showed optimism, worry and a case for keeping creativity human.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect session, Kroger's Morgan Miller argued that soft skills separate good data scientists from great ones. She cited Google research and offered exercises for communication, collaboration, empathy, adaptability, critical thinking, detail orientation and curiosity.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Next Gen Educare CEO Nikolas Zetouni showed how to build a custom sprite library in Scratch. He covered why popular characters motivate students, why PNG beats JPG, and how copyright comes up.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Corey Wade of Berkeley Coding Academy coded a heart disease prediction model live in Google Colab. He explained logistic regression and the four core steps of building a machine learning model, then noted that a real project would hold out a test set.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Aditya Sharma, CEO of HiCounselor, outlined eight strategies for growing a LinkedIn personal brand, from picking a niche to commenting daily on influencers' posts. He paired each with AI tools such as Copilot, Phantom Buster and Sprout Social.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Kelly Dowd, Director of Data Science at AT&T, demonstrated 15 prompts students can try in ChatGPT. She stressed that it should not do homework for them, that math answers need checking, and that more detail yields better answers.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, MIT AI Fellow Deborah Kariuki reviewed where data science education stands in U.S. schools. She covered state standards, a federal data literacy bill and the push to let data science count in place of algebra.
By The AI Enterprise Magazine Team ·
At the fourth annual AI Connect K-12 Data Science Conference in 2024, a panel of educators and data professionals said ChatGPT is a tool, not automatically cheating. They urged schools to teach citation, critical thinking and human oversight while teachers use AI to reduce workload.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Alexander Baker of CBeyonData introduced analytics to students. He covered categorical and numerical data, describing distributions, why outliers matter, and choosing among bar charts, scatter plots, histograms, box plots and line charts.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, interns from Amazon, Salesforce and X described their roles, free ways to learn AI, and how to apply in a tough market. They also said ChatGPT can help with resumes if students keep their own voice.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, practitioners from AT&T, Redis, Chegg, Carters and Hyperplanar shared how they entered data science. They stressed curiosity, problem solving, creativity and flexibility over loyalty to any one tool.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, KPMG's Alexander Baker explained how to choose among histograms, bar, pie, scatter, bubble, time and geospatial charts. He tied each choice to the data type and warned that too many categories and outliers hurt readability.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, PayPal data science lead Gulrez Khan described teaching his children data literacy with drawing, board games and everyday counting. He urged parents and educators to use data from kids' daily lives instead of traditional data sets.
By The AI Enterprise Magazine Team ·
In the closing panel of the 2024 AI Connect K-12 Data Science Conference, practitioners from Meta, Chegg, Pella and Asics Digital explained generative AI, LLMs and ChatGPT. They covered prompt engineering, hallucinations, RAG, learning to code with AI and the skills students will need.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect session, AT&T Director of Advanced Analytics Dr. Frances Boykin explained the roles around data science, from business analysts to data architects, and how newcomers can enter the field. She said you do not need to be a statistician and can start in an analyst role.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Jhonathan David of Xabios Data told students which data and AI roles he expects to grow. He covered strategists, data engineers, AI specialists, designers and teachers, and urged students to pick an industry first.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, SalesLoft senior data scientist Disha An outlined how to prepare for a data science career. Her roadmap covered math and statistics, SQL and Python, domain knowledge, portfolio projects and networking.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Storytelling with Data CEO Cole Nussbaumer Knaflic previewed her children's book. She read its opening, used crayons to explain bar charts and shared an "eat a rainbow" activity.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Piccles founder Chris Bent had attendees draw how they felt and how proficient they were at data science. He used the results to argue that drawings capture human and emotional data, and previewed natural drawing processing.
By The AI Enterprise Magazine Team ·
Nechama Katan, Director of Data Science at Pfizer, gave a live overview of ChatGPT and generative AI for a AI Connect K-12 audience. She covered hallucinations, summarizing, prompt engineering and why companies restrict what data goes into the tools.
By The AI Enterprise Magazine Team ·
In a AI Connect session for aspiring data scientists, Ganapathi Pulipaka of DeepSingularity LLC explained why singular value decomposition is called a billion dollar algorithm. He traced neural network history and demonstrated SVD on a small matrix in TensorFlow.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Sheri Johnson of Essential Analysis Solutions and a Dartmouth College researcher described a high school lesson built on real COVID-19 and pollution data. Students liked presenting findings more than analyzing them, a result the presenters said points to teaching communication.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, teacher Nick Potkalitsky of Pragmatic AI Solutions argued that writing instruction should focus on voice and process now that AI handles genre. He proposed the I-search essay and assessing students' AI chats.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, BOLD data scientist Prashant Kumar explained how AI is changing the workplace. He covered productivity gains, bias and security risks, and the roles and skills he expects to be in demand.
By The AI Enterprise Magazine Team ·
At the 2024 AI Connect K-12 Data Science Conference, Tracy Unified School District science teacher Michael Copass proposed 10 principles for AI in schools. They cover AI literacy, emotional deception, proof of effectiveness, transparent training data and parental opt-outs.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar, analytics leaders from Alteryx, BBDO and Light & Wonder explained how GenAI is opening data to non-experts. They covered skills gaps, silos, governance and privacy, and how roles will shift.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar, four OneMagnify executives explained how B2B CMOs can lead digital transformation with generative AI. They covered cross-team collaboration, custom GPTs, data risk, the shift in search and the skills CMOs need.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar, marketing and analytics leaders from Brunswick, OneMagnify and formerly GE Healthcare discussed how B2B teams use AI for customer experience. They said clean data, risk councils and realistic expectations matter as much as the models.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar made possible by DataRobot, data science practitioners discussed feature engineering for predictive models. They said the biggest obstacles are organizational, and that generative AI helps most with scarce or unstructured data when paired with expertise and risk controls.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, a panel of data consumers from Home Depot, Mobilewalla and Major League Baseball explained what makes data science useful to them. They described aligning on business goals, translating metrics into plain language, and building relationships between analysts and decision-makers.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, six data leaders from Warner Bros. Discovery, Inspire Brands, AT&T, Morgan Stanley, Kaiser Permanente and American Express discussed paths to leadership. They stressed soft skills, continuous learning, alignment with business goals and the ability to translate technical work.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, Morgan Stanley Wealth Management's Atul Dalmia described AI systems for personalized client content, adviser next-best-action and lead matching, with reported lifts in contact, engagement and conversion. His lesson: solve the business problem first and augment what already exists.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, AI Connect co-founder Brian Mink explained how economic decision makers differ from technical practitioners. He outlined why data executives are risk averse and five tactics for reaching them.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, Vida Williams of the Virginia Alcoholic Beverage Control Authority looked back on 25 years in data and enterprise architecture. She drew lessons on data modeling, executive attrition, data-driven culture and the slow ROI of data, then cautioned against tech for tech's sake in generative AI.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, data science leaders from Best Buy, Equifax and Google discussed how generative AI and other emerging technologies would reshape roles and skills. They covered hard and soft skills, production trade-offs, regulatory risk and what hiring managers look for.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, Ashani Johnson-Turbes of NORC at the University of Chicago argued that data democratization must cover who is in the data, who has the skills to use it and who shares in the power it creates. She offered six steps, from community advisory boards to data parties.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, Burtch Works' Beverly Wright and Crunchbase's Jess Ramos shared career advice for data science and AI professionals at three stages. Topics included choosing a good manager, ethics, soft skills, specializing and mentoring.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, analytics leaders from Aflac, Carter's, DataRobot and RXA @ OneMagnify discussed why AI projects stall and how to choose ones that pay off. They described feasibility tests, governance and ethics, and what they expected from generative AI at the time.
By The AI Enterprise Magazine Team ·
At the 2023 AI Connect K-12 Data Science Conference, data leaders from UNC Health, Nike, Pella and others explained ChatGPT, generative AI and large language models. They covered prompt engineering, hallucinations, cheating in schools, coding with AI and the future of data careers.
By The AI Enterprise Magazine Team ·
In a workshop at the Data Science Innovators Conference 2023, Selma Dogic of Carter's rebuilt a Makeover Monday dashboard on Chicago hate crimes in Tableau. She walked through charts, grouping and filters, and shared dashboard design rules on layout, color, provenance and written insights.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, KPMG data scientist Alexander Baker explained survival analysis, from censored data to Kaplan-Meier curves and Cox models. He closed with a Python demo predicting employee turnover.
By The AI Enterprise Magazine Team ·
In a panel at the Data Science Innovators Conference 2023, data leaders from Disney, Meta, Microsoft and Minecraft discussed why models stall after they are built. They covered buy-in, business alignment, communication, maintenance and scaling.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, A Rieker led a live Python workshop for people who had never coded. Using a browser-based Jupyter notebook and short coding labs, attendees moved from strings and lists to loops, NumPy arrays and a Matplotlib sine graph.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Medidata product manager Srishti Gupta argued that data science teams need product managers with data science experience. She covered how data science products differ, how to prioritize by complexity and value, and when to stop a project.
By The AI Enterprise Magazine Team ·
In a panel at the Data Science Innovators Conference 2023, data practitioners from Snap, Wells Fargo and CVS discussed why data quality breaks down and what it costs. They covered ownership, observability, automation, leadership buy-in and transparency.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Pfizer's Nechama Katan outlined a four-step process, Define, Advocate, Team and Act, for getting data science projects funded and adopted. Her core advice: solve a business problem in business language and make the leader the hero.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Taimur Rashid of Redis argued that leaders should accelerate digital innovation while building systems that outlast them. He covered vector databases, customer examples from Capital One and Dick's Sporting Goods, and security, sustainability and inclusion.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Sasha Tomic of Boston College's Woods College of Advancing Studies compared degrees, boot camps and MOOCs for analytics careers. He shared job-posting data on master's requirements and a checklist of questions to ask any program.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, an analytics leader shared tips from the book Winning the Room for presenting results to non-technical audiences. The advice covers planning, slide design, rehearsal and tying findings to business impact.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Southwest Airlines analyst Mary Stimson argued that data science can be an art form and showed how curiosity, learning outside your domain and failing fast shaped a project that tracked dogs using communication buttons. She also described her team's 80/20 rule for innovation time.
By The AI Enterprise Magazine Team ·
In a talk at the Data Science Innovators Conference 2023, Kaiser Permanente's Faizan Javed explained why chief data and analytics officers average about 2.5 years in the role. He outlined common obstacles and a playbook built on data defense, data offense and measurable business value.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Ganapathi Pulipaka taught backpropagation using calculus, a small neural network and a Python demo. He also previewed singular value decomposition and explained how it relates to neural networks.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Selma Dogic of Carter's described how to build a business-led data and analytics strategy. She covered winning champions, tying analytics to corporate goals, certified self-service data, and embedded and augmented analytics.
By The AI Enterprise Magazine Team ·
