You've requested...

What NLP, AI, and analytics-driven insights can do for you

If a new window did not open, click here to view this asset.

Download this next:

AI-Powered Data Automation

In recent years, analytics has become a strategy in most businesses when talking about creating value. Today, companies need to process large amounts of data through the work of data scientists. However, in the near future, businesses will be flooded by data, also thanks to new technological scenarios.

Thus, the ability to process more data faster and present users with valuable results has never been more crucial. AI-powered data automation could be the answer to the challenge of automating data through AI.

These are also closely related to: "What NLP, AI, and analytics-driven insights can do for you"

  • Digital.ai Intelligence

    When it comes to developing and delivering high-quality applications, there are many challenges getting in the way such as siloed teams, limited governance, toolchain sprawl, unmatched data sources and more.

    In this article, you will learn about an AI-powered analytic tool that brings you dynamic views from your entire software development lifecycle toolchain from individual team views to executive summary KPIs.

    Read on to learn more about a solution that aligns your software delivery to your business strategy, allowing you to finally streamline those value streams and increase your app reliability.

  • How to enable responsible AI at scale

    The concept of responsible artificial intelligence (AI) is gaining popularity, with many enterprises now recognizing its role in mitigating technological risks. However, the topic is largely misunderstood, and there are limited resources explaining how to put it into practice.

    A common misinterpretation is that responsible AI simply refers to the ethical aspect of AI. But despite the importance of ethics, it is only one component of responsible AI.

    Responsible AI is a strategy for executing ethical AI while maintaining accountability, compliance, and governance to enable great customer experiences and drive growth for your business. Read on to learn how you can put it into practice.

Find more content like what you just read:

  • Analytics Champion: How to Master Analytics and Automation for a Future-Ready Organization

    In a competitive business landscape, trustworthy analytics is critical for success. That’s why every organization needs people who understand the traits of reliable analytics – otherwise known as analytics champions. Read this e-book learn about the 5 tenets of every analytics champion and discover the importance of dependable analytics.

    Download

  • Trusted AI innovation: How to deliver value at scale

    Generative AI is poised to create a massive impact on enterprise value, and it’s already opening the doorway to new frontiers in productivity and innovation. This webcast will provide you with an overview of a comprehensive cloud analytics and data platform for trusted AI innovation. Tune in to learn how you can accelerate your AI journey.

    Download

  • How to unlock analytics-led innovation across your business

    In this leader’s guide, you’ll discover how you can leverage automation to meet your organization’s business needs and deliver immediate impact without increasing spend or team size, including 10 practical use cases for automating analytic business processes. Read the e-book now to learn how you can help drive innovation across your organization.

    Download

  • AI and predictive analytics: A promising future for businesses

    AI and predictive analytics improve operations across sectors. Already, machine learning algorithms process data and AI-led strategies are preferred over their human-led counterparts. Read this blog to learn how AI and predictive analytics will shape commerce.

    Download

  • How Decision- Making is Shaping the Future of the European Enterprise

    To learn more about how advanced decision intelligence technologies are impacting the ways that large-scale organizations make decisions, 900 enterprise leaders in various industries were surveyed. Download the report for the full findings and insights, along with a breakdown of how decision intelligence will impact the future of decision-making.

    Download

  • 4 Ways to Get Started with Generative AI for Enterprise Analytics

    There are some businesses using generative AI in their analytics to realize big returns on their investments - even as their IT budgets stagnate or shrink. This e-book explores how they’re doing it and the ways they’re using AI to enhance everyday processes. Read on to learn about 4 strategies you can use to get started with gen AI for analytics.

    Download

  • How a global restaurant company modernized its analytics

    Facing daily challenges in the restaurant industry, Brinker recognized the need to leverage AI and machine learning to enhance the guest experience by accurately predicting order availability times, reducing food waste, and maintaining restaurant cleanliness. Read on to learn how they successfully modernized their analytics ecosystem.

    Download

  • Convenience Store Chain Boost Business Intelligence With Security Camera Analytics

    It’s more important than ever to tap into business intelligence to drive better decision-making for your business. In this client story, read how a major convenience store chain leveraged their existing security camera infrastructure to capture and analyze valuable data for actionable insights.

    Download

  • Your organization's 2020 AI Roadmap

    Enterprise use of AI technologies is rapidly growing and showing no signs of slowing down. How is your organization planning to leverage AI and machine learning in the coming year?

    Download