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integrate

Revolutionize Data Workflows with SaaS ETL Tools

May 24, 2023 By Terence Bennett In Integrate
The modern business landscape is characterized by an abundance of data, and those harnessing this data's power through machine learning stand to gain a competitive advantage. The ETL process (Extract, Transform, Load) is central to this effort and plays a crucial role in data management, analysis, business intelligence, and data processing. Raw data is ingested from multiple sources, like data lakes and databases, during the ETL process and reformatted for easier analysis.
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AI-Powered Analytics with ThoughtSpot at Gartner's Data & Analytics London Summit

May 23, 2023 By ThoughtSpot In ThoughtSpot
Presented at the Showfloor Showdown event at Gartner D&A London Summit, Ricky Patel analyzes global flooding and weather station data with ThoughtSpot, showing the crowd that wielding AI-Powered Analytics can be as easy as your favorite consumer app.
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thoughtspot

Gartner Data & Analytics Summit: Building data fluency with AI-Powered Analytics

May 23, 2023 By Ricky Patel In ThoughtSpot

It’s that time of the year again! I’m still buzzing about this year’s Showfloor Showdown at Gartner Data & Analytics Summit in London, where I had the opportunity to showcase ThoughtSpot's AI-Powered Analytics. In the spirit of facilitating a side-by-side comparison, we were all invited to look at global flooding and weather station data, analyze the variables affecting these natural disasters, and present key findings to the crowd.

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integrate

Why Data Reliability Is Key to Business Success and How To Ensure It

May 23, 2023 By Donal Tobin In Integrate
Poor-quality data costs the U.S. economy around $3 trillion a year and impacts the bottom line of 88% of American companies. That's why data reliability is so critical. It prevents inaccurate, inconsistent, or just plain bad data from moving through your pipelines.
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ODSC East 2023 MLOps Keynote: MLOps in the Era of Generative AI

May 22, 2023 By Iguazio In Iguazio
ChatGPT sparks the imagination and highlights the importance of Generative AI and foundation models as the basis for modern AI applications. However, this also brings a new set of AI operationalization challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this talk, we explore the new technologies and share MLOps orchestration best practices that will enable you to automate the continuous integration and deployment (CI/CD) of foundation models and transformers, along with the application logic, in production.
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yellowfin

How ChatGPT Could Be a Data Security Problem

May 21, 2023 By Yellowfin Team In Yellowfin
There’s no doubt in just a short period of time, ChatGPT and other large language models (LLMs) have become so immensely popular, they are now used by millions of people daily. ChatGPT’s ability to provide human-like responses and generate content has shown to be valuable to businesses and people across customer service, education, healthcare, and other industries. However, to get access to OpenAI’s powerful AI-tool, what do these businesses and people give up?
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countly

A Guide to Mobile Analytics for Next-Gen Devices

May 19, 2023 By Nadia Benslimane In Countly
The realm of mobile devices has evolved beyond conventional smartphones and tablets, delving into the fascinating domains of wearable technology and IoT devices. As the landscape of mobile technology broadens, the significance of mobile analytics has surged. Here at Countly, we appreciate the power of these analytics to provide businesses with insights into user experiences, enabling data-driven decision-making and continuous refinement of our offerings.
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LLM ChatBot Augmented with Enterprise Data

May 19, 2023 By Cloudera In Cloudera
This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.
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