TDWI: Artificial Intelligence and Machine Learning

Explore Artificial Intelligence (AI) and Machine Learning Content

Artificial intelligence combined with machine learning allow your organization to analyze data quickly, create test data faster, and find patterns in your data with ease. This section focuses on the promise and problems of this technology and how you can put it to use ethically and effectively.

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Webinars

From Data Depth to Agentic Heights: Unleashing AI for Business Intelligence
Join this webinar to hear experts from Incorta and aiXplain explain how dynamic, high-velocity data can be combined with AI agents, enabling businesses to gain deeper insights within a secure, well-governed environment. October 30, 2024 learn more
Unlocking the Power of Generative AI: 5 Essential Steps to Make It Enterprise-Ready
Join Fern Halper, Ph.D., TDWI VP of research, and Informatica’s GVP of ecosystems and technology, Rik Tamm-Daniels, as they discuss key requirements for transforming generative AI applications into enterprise-grade solutions. October 17, 2024 learn more
How Generative AI and Large Action Models Will Transform the Way We Work
In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. October 15, 2024 learn more
Powering Analytics, Operations, and Customer Experiences with Real-Time Data and AI
In this webinar, TDWI senior research director James Kobielus will discuss how CDC and RAG can become pivotal infrastructure for enterprise AI-driven decisioning and IT system resilience strategies. September 25, 2024 learn more
Unlock the Value of Generative AI in the Cloud
In this webinar, TDWI senior research director James Kobielus will discuss how enterprises can enrich their generative AI applications by leveraging data and analytics as a service in the cloud. September 18, 2024 learn more
Ensuring Trusted Data for Generative AI
In this webinar, Fern Halper, TDWI’s VP of Research, will be joined by experts from Informatica and Databricks to discuss how to ensure trusted data for generative AI. September 17, 2024 learn more

TDWI Webinars

Research & Resources

Driving Business Impact: Real-World Applications of Real-Time Data & AI
Download today for valuable insights into how modern data strategies can lead your business to success. learn more
TDWI Digital Dialogue | The Role of Trusted Data in Generative AI
As organizations continue their journey to generative AI, new challenges around data trust and quality will emerge. learn more
IDC Spotlight: Boosting AI Impact with Data Products
Download this resource to learn more about the shift from digital transformation to AI-driven digital business. learn more
Building a Trusted Data Foundation for AI/ML and Business Intelligence (BI)
With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes. learn more
TDWI Insight Accelerator | Using AI to Accelerate Retail to the Speed of the Consumer
This TDWI Insight Accelerator focuses on how artificial intelligence (AI) can help retailers and CPG companies to stay competitive, delight customers, and accelerate their delivery of innovative new products and services. learn more
Unifying WhereScape with Databricks
This paper outlines how Databricks’ unified data platform and WhereScape’s automation can streamline workflows, enhance operational efficiency, and pave the way for advanced analytics and AI-driven insights. learn more

TDWI Research

Podcasts

Adding Corporate Data to LLMs with Nicolas Decavel-Bueff May 28, 2024
Real World Techniques for Machine Learning with David Langer May 14, 2024
Machine Learning with Keith McCormick May 1, 2024
Data Platforms for AI and ML with Richard Winter April 15, 2024
AI Strategy with Caroline Carruthers April 2, 2024
Transforming Your Business Through AI with James Kobielus March 18, 2024

TDWI Podcasts - Speaking of Data

Upside Articles

Curb Your Hallucination: Open Source Vector Search for AI
Here’s why vector search is increasingly critical to AI success, and how open source can fit into that equation. October 18, 2024 read more
4 Practical Tips to Create Value with AI
Setting realistic expectations and taking lessons from previous tech trends can help you plan for successful AI programs. September 26, 2024 read more
Is Your Data AI-Ready?
The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment. July 31, 2024 read more
Artificial Intelligence Versus the Data Engineer
Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering. July 24, 2024 read more
AI Readiness with Fern Halper
TDWI’s Fern Halper explains what enterprises need to do to prepare for AI and introduces initial results from TDWI’s AI Readiness Assessment. July 11, 2024 read more
Q&A: Enhancing Analytics with AI
Machine learning, large language models, and AI are having an impact on analytics. Case in point: Heather H. Wilson, CEO of CLARA Analytics, explains how her company is putting AI to work in the insurance industry. July 11, 2024 read more

TDWI Machine Learning, AI, and Automation Articles

Team Training

Hands-On: Logistic Regression Made Easy with Excel
In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel. learn more
Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights
Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. learn more
Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights
Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. learn more
Hands-On: Logistic Regression Made Easy with Excel
In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel. learn more
Hands-On: Machine Learning Made Easy - No, Really!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. learn more
Hands-On: Machine Learning Made Easy - No, Really!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. learn more

TDWI Team Training

TDWI Transform West Las Vegas

AI & Digital Fluency: Preparing Your Data Team for the Future
Digital transformation is creating a world where businesses must test new, exponential strategies such as generative AI while maintaining incremental business functions to stay current. learn more
Modern Data Warehouse Platforms and Architectures for the Cloud
This course will give you the technical reasons why scaling up is sometimes easy and sometimes very hard—at a level that architects, strategists, and decision makers can understand. You need this understanding to choose the best platform for your cloud data warehouse or workload—and to avoid platform mistakes that can be catastrophic. learn more
Hands-On Introduction to Customizing Large Language Models (LLMs)
In this hands-on course, you will be provided with the fundamentals to “talk with your data” by understanding and effectively implementing an LLM in an information-retrieval, question-answering use case. learn more
Strategy and Governance for AI: Planning Sustainable and Responsible AI Solutions
This half-day course will cover the fundamentals of AI strategy development and AI governance, providing participants with a practical framework to implement responsible AI in their organizations. learn more
Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics. learn more
TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All
Data Foundations for AI: Leveraging Real and Synthetic Data to Power AI, Machine Learning, and Generative AI
This course explores the critical role of data in AI and generative AI, focusing on how to create, integrate, curate, manage, and augment data to enhance AI and generative AI model performance. learn more
FinOps and More: Efficiency Engineering for Cloud Analytics and AI
In this course, students will learn how decisions made at every phase of software development have impacts on the ultimate cost of the solution. learn more
Hands-On: Data Analysis with Large Language Models (LLMs)
This one-day, hands-on workshop is designed to provide participants with a comprehensive understanding of how to leverage LLMs to enhance their data analysis processes. learn more
Data Science Bootcamp // Modeling Your Data: Building and Assessing Models
Students will receive an overview of common statistical techniques and algorithms that are used in analytic models, how they are matched to business objectives and available data, and how the models are tuned and validated. The course will also cover key technologies that enable model development and management, and examples will reinforce key concepts. learn more

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