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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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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO

Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. GenAI-powered financial services use cases Across the sector, GenAI is empowering innovation and enabling new work patterns.

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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 146
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CMO and CDO: The Digital Marketing Partnership Fueling Growth

N2Growth Blog

In this landscape, the collaboration between the Chief Marketing and the Chief Digital Officer has become a pivotal driver of organizational success. These roles, while distinct, are increasingly interwoven, and their synergy can unlock unprecedented opportunities for growth and innovation.

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Embedded BI and Analytics: Best Practices to Monetize Your Data

Speaker: Azmat Tanauli, Senior Director of Product Strategy at Birst

By creating innovative analytics products and expanding into new markets, more and more companies are discovering new potential revenue streams. But how do you identify these potentially profitable areas, and what can you do to take advantage of them?

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AI market evolution: Data and infrastructure transformation through AI

CIO

Over the next one to three years, 84% of businesses plan to increase investments in their data science and engineering teams, with a focus on generative AI, prompt engineering (45%), and data science/data analytics (44%), identified as the top areas requiring more AI expertise.

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Leading the digital charge: Inspiring innovation and fostering a culture of excellence

CIO

This involves the integration of digital technologies into its planning and operations like adopting cloud computing to sustain and scale infrastructure seamlessly, using AI to improve user experience through natural language communication, enhancing data analytics for data-driven decision making and building closed-loop automated systems using IoT.

Culture 167
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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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The Problem with Product Market Fit (and What to Use Instead)

Speaker: Daniel Elizalde - Product Executive and Advisor

There is a big problem with the term "product market fit." Launching successful products requires a rare combination of market understanding, iterative development, and a lot of luck. Ask ten people to define PMF and you’ll get ten different answers. All of them are useless because they are not actionable.

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How to Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition.

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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.