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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 as a catalyst for actionable insights One of the biggest challenges in digital analytics isn’t just understanding what’s happening, but why it’s happening—and doing so at scale, and quickly. That’s where Gen AI comes in.

Analytics 193
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Part 1: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

ADK powers the newly announced Agentspace, Google’s research agent and Google customer support agents. Expert Google-Built Agents : Agentspace includes Deep Research and Idea Generation agents, in addition to NotebookLM for Enterprise. bigframes.pandas provides a pandas-compatible API for analytics, and bigframes.ml

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO

If competitors are using advanced data analytics to gain deeper customer insights, IT would prioritize developing similar or better capabilities. Learn more about IDC’s research for technology leaders. Understanding the company’s competitive position allows IT leaders to mindfully act to implement technology for competitive advantage.

Strategy 200
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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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AI in the C-suite: Using AI to shape business strategy

CIO

However, research demonstrates that more executives, like Schumacher, recognize the connection between AI and business innovation. But the more analytic support we have, the better,” Gonzalo Gortázar CEO of CaixaBank, told IBM. Most AI hype has focused on large language models (LLMs).

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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

Analytics 218
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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

According to the study conducted by Wakefield Research in 2021, only 22% of the data leaders surveyed have fully realized ROI in the past two years, with most data leaders (56%) having no consistent way of measuring it.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.

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5 Key Considerations for Top-Notch Product Dashboards

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

So you want to set your product apart with the latest analytics, but you’re not sure where to start. In this webinar, you’ll learn: Best practices in customer research when developing your dashboard. How do you know what your customers want? And how can you make sure that you’re solving their problems?