Big Data Industry Predictions for 2024
insideBIGDATA
JANUARY 18, 2024
The big data industry has significant inertia moving into 2024. Welcome to insideBIGDATA’s annual technology predictions round-up!
insideBIGDATA
JANUARY 18, 2024
The big data industry has significant inertia moving into 2024. Welcome to insideBIGDATA’s annual technology predictions round-up!
Analytics Vidhya
APRIL 18, 2024
Snowflake, a […] The post How Snowflake’s Text Embedding Models Are Disrupting the Industry appeared first on Analytics Vidhya. However, existing solutions for text embedding have certain limitations that hinder their effectiveness.
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insideBIGDATA
JANUARY 3, 2024
The big data industry has significant inertia moving into 2024. Welcome to insideBIGDATA’s annual technology predictions round-up!
insideBIGDATA
JANUARY 10, 2024
The big data industry has significant inertia moving into 2024. Welcome to insideBIGDATA’s annual technology predictions round-up!
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No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges. The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless.
insideBIGDATA
JANUARY 14, 2024
The big data industry has significant inertia moving into 2024. Welcome to insideBIGDATA’s annual technology predictions round-up!
insideBIGDATA
DECEMBER 29, 2023
Enjoy these special perspectives from one of our industry's best known movers and shakers. Straight from the executive suite, you'll learn about what's predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more.
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Industry and Vendor Analysis. Business intelligence is the technological capability to include BI features and functions as an inherent part of another application. You’ll learn: Analysis and Trends on Business Intelligence Users. Importance of Business Intelligence.
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Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face. Infusing advanced AI features into reports and analytics can set you apart from the competition.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity.
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Based on insights derived from industry professionals, this e-book uses first-hand experiences to help inform your analytics strategy. If you’ve been wondering how to invest in analytics, this research-based guide will take you through the 4 steps to finding the right solution for your application that will drive the most value.
Speaker: Scott Sehlhorst
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Embark on a transformation journey into the heart of the data ecosystem! Delve into the diverse use cases where data analytics plays a pivotal role.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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