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Coverage of sessions from past AI Connect conferences, summits and education events.
See upcoming eventsAt 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 ·
By The AI Enterprise Magazine Team ·
By The AI Enterprise Magazine Team ·
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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In a session at the Data Science Innovators Conference 2023, Stardog knowledge graph consultant Joe Fagan built a semantic layer live on the royal family tree. He showed how ontology rules and inference add facts that never appear in the source data.
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In a Data Science Innovators Conference 2023 keynote, Stardog's Navin Sharma said metrics layers capture only part of what a semantic layer can do. He argued a knowledge graph-powered layer that federates data, infers relationships and keeps business meaning can unify hybrid multicloud data.
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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.
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In a panel at the Data Science Innovators Conference 2023, data leaders from Kellogg, Travelers, ADP, Honeywell and Stardog discussed how to evaluate generative AI and knowledge graphs. They covered LLM privacy trade-offs, failure modes, ROI methods and governance.
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In a session at the Data Science Innovators Conference 2023, Redis' Talon Miller explained why running Redis on Kubernetes is hard and how the Redis Enterprise operator automates it. He also described claimed availability and speed gains and previewed Redis on Flash and active-active deployment.
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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.
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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.
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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.
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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.
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In a hands-on workshop at the Data Science Innovators Conference 2023, Starburst's Matt Fuller and Tom Nats explained how Trino and Apache Iceberg combine into an open lakehouse. A live demo showed merges, updates, deletes and snapshot time travel.
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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.
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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.
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In a session at the Data Science Innovators Conference 2023, Samuel Zaruba Smith, a director at Bank of America, said human labels and annotations in supervised security AI are of questionable value and add less as systems improve. He described imbalanced threat data, human-driven failure modes and how to check unsupervised systems.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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In a hands-on workshop at the Data Science Innovators Conference 2023, Stardog co-founder Mike Grove built a customer 360 knowledge graph live. He covered data modeling, virtual mapping of source data, and an inference engine that derives new relationships.
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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.
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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.
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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.
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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.
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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.
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