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The future of Gen AI in analytics

CIO

Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. As Gen AI continues to evolve, its role in digital experience analytics will only grow.

Analytics 193
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Morgan Stanley’s gen AI launch is about global analysis

CIO

It will mean, in theory, that Morgan Stanley management can see analysis of every call made across the enterprise — often within a few minutes of that call’s completion. It is going to make their data analysis far better. That Morgan Stanley source was hesitant when asked about the global analytics goal. Richter asked.

Analysis 183
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It’s time to abandon business intelligence tools

TechCrunch

Charles Caldwell is VP of product management at Logi Analytics , which empowers the world’s software teams with intuitive, developer-grade embedded analytics solutions. He has more than 20 years’ experience in the analytics market, including 10+ years of direct customer implementation experience. Charles Caldwell. Contributor.

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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

Sport 177
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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.

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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO

This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 In a recent Gartner data and analytics trends report, author Ramke Ramakrishnan notes, “The power of AI and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate.

Analytics 172
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Companies betting on data must value people as much as AI

TechCrunch

Those working with data may have heard a different rendition of the 80-20 rule: A data scientist spends 80% of their time at work cleaning up messy data as opposed to doing actual analysis or generating insights. Imagine a 30-minute drive expanded to two-and-a-half hours by traffic jams, and you’ll get the picture.

Company 314
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What is Contextual Analytics? The Next Evolution of Embedded Analytics

Download this whitepaper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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Assessing the Five Styles of Enterprise Business Intelligence

The world of BI and analytics has evolved. Discover the five styles of reporting and analysis, and learn the pros and cons of each in an enterprise scenario.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

He will discuss working through personas, data types, reporting needs analysis and ultimately how this comes together to form a roadmap for reporting functionality and interface. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.