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Practical generative AI, analytics and ML applications across industries.
Walmart is giving AI agents their own profiles, spending limits and an MCP gateway, while Amazon blocks them. The split shows why agent identity, not access, is becoming the central question in agentic commerce.
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
News · AI Use Cases & Applications
OpenAI's first legal configuration adds a large case-law index, firm governance controls and dozens of plugins to GPT-6 Astra. Its benchmark gains are self-reported, and the API, pricing and broader access are still to come.
By The AI Enterprise Magazine Team ·
Snowflake's Tyler Richards used Cortex Code to build a dashboard and Slack alerts from written specs, while Precisely's Carmen Adame had an AI assistant assemble a property risk profile through an MCP server.
By The AI Enterprise Magazine Team ·
Fragmented systems, stale data and reactive governance hold back most AI projects, says IBM's Tim Richer. He identifies the use cases scaling fastest, how IBM runs agents on its own HR, IT and procurement systems, and client results from Ferrari and EY.
By The AI Enterprise Magazine Team ·
Google Cloud's new finance and legal editions of Gemini Enterprise put it alongside Anthropic and OpenAI in the vertical agent business. The real competition, and the real work for buyers, now sits in data connectors, permissions and evaluation.
By The AI Enterprise Magazine Team ·
Four vendors are taking different routes to enterprise AI: Mistral AI with document OCR and voice models, SAS with detection of AI-generated forgeries, Fivetran with one dataset served to seven query engines and Precisely with location data for Claude via MCP.
By The AI Enterprise Magazine Team ·
Actian's AI Analyst lets a compliance lead use plain-language questions to find low-risk bank customers breaching SAR thresholds. Actian's Phil Wall says governed metrics, glossaries and semantic SQL keep the AI analyst from making up answers.
By The AI Enterprise Magazine Team ·
Supermetrics has Claude analyzing Facebook ads, launching campaigns and publishing live dashboards, while Precisely uses an MCP server to let Claude find and fix SAP material data. Both move AI from reading enterprise data to acting on it.
By The AI Enterprise Magazine Team ·
Lumi AI surfaces inventory insights, Precisely enriches addresses through MCP, SAS Viya turns decision flows into agent tools and Domino Data Lab keeps regulated research auditable: four takes on putting agentic AI to work in the enterprise.
By The AI Enterprise Magazine Team ·
Mistral AI and SAP are building enterprise agents, while Rhino, Precisely, Skyflow and SecuPi show how federated computing and MCP servers can connect AI assistants to enterprise data without exposing what should stay protected.
By The AI Enterprise Magazine Team ·
Enterprise AI fails when it ignores domain knowledge and chases benchmarks, argues Mistral AI's Aaron Delp. He points to no-code agents, OCR-powered parts search over MCP and an agentic drug submission workflow, and makes the case for right-sized and custom models.
By The AI Enterprise Magazine Team ·
Informatica, PromptQL, Teradata, Precisely and Lumi AI are building agents that find, clean and enrich data, answer business questions and keep humans in the loop. Here is how each approach works.
By The AI Enterprise Magazine Team ·
Mistral AI fine-tuned a model, Google Cloud ran agent-driven churn analysis, Aerospike powered real-time nudges, Precisely added location context, Striim masked data in flight and PromptQL flagged its own assumptions: six takes on practical enterprise AI.
By The AI Enterprise Magazine Team ·
Data leaders from AtScale, Snowflake, Denodo, Fivetran and Revefi shared how executives can separate AI hype from real opportunities. They offered criteria for picking use cases, advice for CIOs under board pressure, a framework for build-versus-buy decisions and examples of projects that delivered measurable returns.
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 ·
Clients love charts but rarely know which ones they want. Broadband Insights CEO Patrick Hutto says his team uses vibe analytics with Plotly's AI Studio to explore data with clients in real time, then moves the best views into production.
By The AI Enterprise Magazine Team ·
IBM switched its HR system from Workday to SAP and most employees never noticed, because their HR interface was an AI agent. IBM's Melissa Hadley explains systems of intelligence, the problem of agent sprawl and how orchestrator agents route work across systems.
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 ·
Banks and payment companies get about 50 milliseconds to approve a card swipe. Aerospike's Sesh Seshadri says database speed decides how much machine learning, graph analytics and multi-stage inference fit in that window.
By The AI Enterprise Magazine Team ·
Google Cloud's data science agent can plan and build a demand forecast in a BigQuery notebook, even fixing its own error along the way. Google Cloud's Suda Srinivasan calls agents an exoskeleton for data scientists, not a replacement.
By The AI Enterprise Magazine Team ·
Leaderboard scores rarely predict how a model will handle a company's own data. HumanSignal ML Evangelist Micaela Kaplan explains how enterprises can build custom AI benchmarks with rubric-based scoring, start small and bring domain experts into the process.
By The AI Enterprise Magazine Team ·
Machine learning, generative AI and agentic AI each solve a different problem in a legacy quoting workflow, says KMS Technology CTO Guy Merritt. He outlines a prepare, diagnose and implement path for enterprises and shares KMS's own results from AI-assisted software development.
By The AI Enterprise Magazine Team ·
Recommendations, search, RAG and AI agents share more than they seem. Aerospike Chief Evangelist Sesh Seshadri says multi-step inference, feature stores and short-lived agent data sets shape real-time AI infrastructure, drawing on examples from Myntra, PayPal and Barclays.
By The AI Enterprise Magazine Team ·
Searching video and images means keeping context that flat vectors lose. Vespa.ai's Bonnie Chase and Zohar Nissare-Houssen explain how tensors, co-located compute and multi-phase ranking let a hybrid query find a single scene inside a cartoon.
By The AI Enterprise Magazine Team ·
Seven vendors are putting generative AI to work on enterprise data, from Snowflake Cortex Agents and Gemini 2.5 on Vertex AI to self-service AI analytics, contextual location data, data pipelines and agents that write and debug code.
By The AI Enterprise Magazine Team ·
Three HPE and NVIDIA technologists lay out the AI factory model for enterprise AI infrastructure: packaged, turnkey and custom deployments, why cooling now shapes data center design, and the strategy and skills gaps that leave GPUs sitting idle.
By The AI Enterprise Magazine Team ·
AI can narrow the search space for physics-based simulation, says HPE Federal AI Chief Technologist Steve Heibein, citing COVID research, weather and NASA's AI-designed parts. Rising GPU power, he adds, is pushing data centers to liquid cooling.
By The AI Enterprise Magazine Team ·
Small internet providers lack the data teams of big carriers. Broadband Insights CEO Patrick Hutto details the Python stack behind his firm's production data apps, from Redis caching to a text-to-SQL chatbot, and how one daily report cut install times from months to days.
By The AI Enterprise Magazine Team ·
Real-time AI pays off only when fresh data changes the prediction. Leaders from Tecton, Sam's Club and AT&T explain how to combine precomputed and streaming features, catch silent pipeline failures and cut the cost of real-time machine learning.
By The AI Enterprise Magazine Team ·
Text extraction throws away the charts and tables in visually rich documents. Vespa CEO Jon Bratseth and RavenPack's Aakarsh Ramchandani explain how ColPali retrieves PDF pages by what they look like, where it still falls short and how to scale it.
By The AI Enterprise Magazine Team ·
AI models for chemistry often fail on compounds no one has tested because training data is scarce. SandboxAQ's Ang Xiao says large quantitative models add physics-based synthetic data, citing battery life prediction, paper mining, materials discovery and formulation.
By The AI Enterprise Magazine Team ·
Payment processor North replaced a third-party fraud detection product with its own real-time machine learning system. MLOps leader Ben Orkin explains the build-vs-buy decision, the data signals that matter and how a feature store cut model iteration from months to weeks.
By The AI Enterprise Magazine Team ·
Rafay offers self-service GPU access, AnswerRocket a conversational analytics assistant, Crowdbotics AI-generated product requirements and code, and DataRobot prebuilt AI apps with real-time guardrails: four approaches to putting generative AI to work.
By The AI Enterprise Magazine Team ·
Relational deep learning can treat a Snowflake database as a graph, says Kumo AI co-founder Hema Raghavan. A predictive query language and graph neural networks replace the hand-written feature pipelines behind churn, recommendation and forecasting models.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar, Vespa.ai's Jon Bratseth and RavenPack's Aakarsh Ramchandani said production RAG needs more than a vector database. They covered hybrid search, cross-encoder reranking, evaluation sets and how to keep embedding and storage costs in check.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar sponsored by HPE, AI Solution Engineer Tyler Britten demonstrated how to serve an open model on premises, build RAG over documents and databases, and prepare a prototype for production with testing and evaluation.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar sponsored by HPE, leaders from HPE, LTK and the University of Texas Medical Branch discussed how generative AI is reshaping computer vision. They covered multimodal RAG, synthetic data, production lessons, governance and data challenges.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar, leaders from Webster Bank and Cox Communications described how generative AI could change geospatial analysis. They also explained why banking and telecom teams verify outputs, protect customer data and adopt it in baby steps.
By The AI Enterprise Magazine Team ·
Enterprises are using retrieval-augmented generation for more than chatbots. Leaders from UPS, TSYS and Shipt describe a digital twin operations copilot, internal use cases that build trust, the risks of customer-facing RAG and how to prioritize generative AI under top-down pressure.
By The AI Enterprise Magazine Team ·
In a COLLIDE 2024 session, Esri's Brady Cline argued that location is an underused ingredient in enterprise analytics. He outlined business questions spatial data can answer and showed a recorded demo of GeoAnalytics Engine analyzing millions of customer records inside Spark.
By The AI Enterprise Magazine Team ·
In a COLLIDE 2024 session, Vespa.ai's Kristian Aune ran a classification experiment using retrieved examples and a language model, reaching 94% accuracy in half a day. He compared text and vector search, model sizes and example counts, and described a data flywheel.
By The AI Enterprise Magazine Team ·
Most companies still equate generative AI with chatbots. Leaders from Dollar General, Scripps, TelevisaUnivision, Vertex and PRGX describe content tagging, dynamic dashboards, code translation and survey analysis, and are candid about security risks, unreliable outputs and measuring ROI.
By The AI Enterprise Magazine Team ·
In a COLLIDE 2024 session, Softcrylic showed AudienceMatchAI, an early-stage tool that runs unsupervised customer segmentation and lets marketers question the segments through a language model. The team said limiting the data the model sees reduces hallucinations and makes answers easy to check.
By The AI Enterprise Magazine Team ·
CEOs want AI fast, but leaders who deliver it say fundamentals decide the pace. Leaders from Elder Research, Norfolk Southern, Equifax and Baptist Health weigh in on model drift, AI governance councils and talent, plus results from AI train inspections and ambient listening.
By The AI Enterprise Magazine Team ·
How do AI's risks and rewards change from public health to hotels to telecom? Leaders from NORC at the University of Chicago, IHG and AT&T weigh in on hallucination and bias, proving business value, governance practices and why scaling AI too fast can sacrifice quality.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar, leaders from Snowplow, SQream and Tecton discussed how generative AI complements machine learning in executive decision-making. They covered unstructured data, evaluation, ROI, KPIs and the build-versus-buy choice.
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 ·
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 ·
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 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, T-Mobile's Ugandhar Dasi explained how generative AI can change data analytics. He showed a natural-language query prototype and listed challenges including hallucination, security, ethics and return on investment.
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 ·
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, panelists from SQream, Domo, Snowflake and Matillion explained why data lakehouses suit generative AI. They covered migration and interoperability, avoiding a data junk drawer, governance, GPU costs and where architectures are headed.
By The AI Enterprise Magazine Team ·
In a 2024 AI Connect webinar sponsored by Astronomer, speakers from Astronomer and AWS described how Apache Airflow orchestrates RAG, fine-tuning and monitoring for LLM applications. They shared customer examples and two internal Astronomer tools.
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 ·
In a January 2024 AI Connect webinar, experts from Esri and AWS explained how to run spatial analysis natively in a Spark and Amazon EMR environment. They covered common pitfalls, available functions and a Chicago ride share demand demo with more than 50 million records.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, Georgia State University's Peter Molnar compared symbolic AI with neural networks and large language models. He said the approaches have complementary strengths, and that LLMs could help automate knowledge graphs and rule-based expert systems.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, Redis principal solution architect Anton Umnikov explained how transformers led to embeddings and ChatGPT, and how a RAG system fits together. His advice: pick embeddings, vector database and LLM independently, and remember that vectors are easy while databases are hard.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, Cox Automotive's John Kang described how Manheim moved capacity planning from Excel to a Python app built with Dash Enterprise and Plotly Professional Services. The tool helps 50-plus auction sites plan technicians and equipment through scenario planning.
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, Fiddler AI co-founder and CEO Krishna Gade outlined the risks of large language models, including privacy leaks, hallucinations, unreliable self-explanations and bias. He argued that AI observability is the missing link for deploying generative AI responsibly.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, Bill Franks of Kennesaw State University said generative AI is effectively making up every answer, which is why it is right on well-documented topics and unreliable on obscure ones. He expected companies to differentiate by building application layers on commoditized models.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, a panel of data and AI leaders from Kellogg's, Nike, Randstad Enterprise and Stardog, moderated by Carter's, weighed generative AI's opportunities against bias, hallucinations and privacy risk. They urged AI principles, testing, human oversight and caution with company data.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, H2O.ai founder and CEO Sri Ambati demonstrated open-source LLMs, RAG over private documents and AutoML. He also argued that prompts and community are the new moats and predicted data scientists will lead Fortune 500 companies by 2030.
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 in Atlanta, Redis Field CTO Allen Terleto argued that data platforms are converging and that vector search is the newest capability vendors are adding. He explained how RAG and semantic caching can reduce LLM cost, latency and data risk, and what enterprises should weigh when choosing a vector database.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023 in Atlanta, dotData CEO Ryohei Fujimaki argued that generating features automatically from raw business tables is faster and more reproducible than hand-built features. He also described three ways generative AI is being applied to unstructured text, conversational feature creation and feature interpretation.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, AnswerRocket CTO Mike Finley used a recorded demo to show how a generative AI copilot for analytics is taught new skills. A pasted JSON block and a short Python routine added e-commerce and cohort analysis, with numbers verified against the data.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, Sol Madadha of Regions said businesses can serve customers better by combining the many signals they emit. He pointed to clean data, clear use cases, return on investment and governance as the prerequisites for enterprise adoption.
By The AI Enterprise Magazine Team ·
At COLLIDE 2023, AnswerRocket's COO and CTO discussed how to get past generative AI hype in business analytics. They argued for higher-order business questions, using models to plan analysis rather than write SQL, and starting with one recurring, labor-intensive task.
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 ·
Dr. Joe Sutherland, Head of Data Science at Search Discovery, addressed three misconceptions about AI in a short talk shared by AI Connect in 2023. He said AI is not a fad, not magic, and that organizations are more ready for it than they think.
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 session at the Data Science Innovators Conference 2023, Zuora senior data scientist Harshad Shrikhande mapped data science use cases onto the subscription customer lifecycle, from prospect targeting to win-back offers. He also answered audience questions on AI versus data science, analyst roles and career switching.
By The AI Enterprise Magazine Team ·
In a workshop at the Data Science Innovators Conference 2023, Redis professional services leaders explained how Redis Enterprise handles clustering, failover and sharding, and how developers use its data structures, JSON and search. Live demos showed hashtags for multi-key commands and faceted product search.
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, Comcast's Doug Wynne described a time series machine learning system that runs 4,230 daily micro models to forecast subscriber additions. He shared six lessons on picking problems, beating baselines and working with stakeholders.
By The AI Enterprise Magazine Team ·
In a talk at the Data Science Innovators Conference 2023, Meta data science manager Jen Wang described how machine learning supports marketing decisions. She contrasted per-campaign models with a centralized, modular platform that reduces audience overlap and improves budget allocation.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Navin Sharma of Stardog showed how a knowledge graph can infer relationships through domain rules, using a royal family dataset and demos in manufacturing, life sciences and finance. He also cited vendor ROI figures and answered questions on ontologies and Microsoft Purview.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Eric Schles of Johns Hopkins Hospital showed how varying the random seed on a train test split can inflate a model's score. His Honest ML framework tests hundreds of splits, then he built a neural network from the linear algebra up.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Carnegie Mellon's Ravi Starzl said generative AI will empower attackers and defenders alike. He proposed pairing human operators with specialist language models and showed local demos for vulnerability and threat intelligence discovery.
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 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 hands-on session at the Data Science Innovators Conference 2023, Ontario Tech University students Benjamin Fedoruk and Max Sun introduced APL for data science. They covered array operators, right-to-left evaluation, tacit functions, and a Jupyter and Python demo that plotted social media emotion data.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Dr. Frances Boykin of AT&T described how telecom companies apply AI to churn, network optimization, fraud detection, customer service and marketing. In the Q&A she covered AT&T's cloud stack, chatbots, model deployment and advice for career changers.
By The AI Enterprise Magazine Team ·
In a session at the Data Science Innovators Conference 2023, Intel Chief Data Scientist Dr. Melvin Greer described how web3 infrastructure and the metaverse could move the web from consumption to creation. He urged AI practitioners to start experimenting with blockchain, NFTs and cryptocurrencies.
By The AI Enterprise Magazine Team ·
