You've requested...

AI sales forecasting tools soothesales-marketing rivalries

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

Download this next:

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?

Weigh in on your current (or future) AI projects and we’ll grant you immediate access to our expert 44-page guide Buying an AI Infrastructure: What You Should Know which provides in-depth insights on:

  • Defining enterprise AI
  • IT, finance and marketing use cases of AI
  • Designing and building an AI infrastructure
  • A look at AI products
  • And more

Take our quick survey to access your guide now!

These are also closely related to: "AI sales forecasting tools soothesales-marketing rivalries"

  • AI and predictive analytics: A promising future for businesses

    AI allows machines to model data and iterate to automate tasks, identify trends, reduce costs, and detect fraud. Predictive analytics leverages data to predict outcomes and guide decisions. AI-powered tools enhance predictive analytics by finding broader patterns humans miss.

    Though promising, these technologies still need refinement and data quality, and privacy must be addressed.

    Read the full blog to learn how AI and predictive analytics are shaping business through forecasting, risk analysis, and personalized customer experiences.

  • 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.

Find more content like what you just read:

  • 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

  • ModelOps Explained: A Starter's Guide to Managing AI and Analytical Models

    In this analyst report, discover the roadblocks your organisation may face when leveraging data for better business insights, and how to best use the data you collect when managing AI and analytical models.

    Download

  • 5 steps to implement a successful data analytics strategy for government

    Legacy systems full of siloed, inaccurate data are no longer sufficient to effectively drive policy. To keep pace with their quickly evolving environments, governments need to embrace the digital age with real-time data that is supported by an enterprise analytics strategy. Read on to learn how you can enable informed decision-making.

    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

  • 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

  • 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

  • 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

  • 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

  • Digital.ai Intelligence

    IT leaders know that failing to deliver apps on time can ruin the customer experience. Continuously improving application delivery practices in a data-driven way is the answer, but analyzing all of those data points and understanding the relationships can be impossible without the help of AI. Read on to learn about a solution that does just that.

    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

  • How to enable responsible AI at scale

    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.

    Download