98%
98% of organizations say that analytics are important to driving business priorities
Tight deadlines, demanding customers and relentless competition are putting pressure on your line-of-business colleagues to increase the quality of their output and the speed at which they deliver it. It’s the IT team’s job to help them do this, and many are now choosing to implement advanced analytics and artificial intelligence (AI) techniques to help automate decision making and deepen insights. Machine learning, a subset of AI, is a key part of the solution to many of these business challenges.
Controlling your data is just the first step in helping your business succeed in the digitally transformed world. It’s also essential you drive as much value as possible from it by gathering game-changing insights. Machine learning is fast becoming an important tool in this process.
Advanced analytics and AI are widely regarded as key to future business success, but there’s still progress to be made.
98%
98% of organizations say that analytics are important to driving business priorities
40%
Yet fewer than 40% of workloads today are using advanced analytics or AI
Explore trends and business opportunities to optimize advanced analytics and AI.
Advanced analytics and AI technologies are helping transform how businesses operate across all industries.
Moving the business towards machine learning may be daunting, but it can be easier than you think.
Pull faster, deeper insights from your data that can help boost business performance.
There’s a lot of debate about machine learning – can you discern the myths from the facts?
Machine learning is helping push AI from the realms of science and academia into everyday life. It’s making our cities smarter, our medical diagnoses faster, and our crop yields bigger, for example. By making decisions faster, it can help drive up value and drive down costs.
As many organizations move from traditional analytics to advanced analytics and AI, it’s important to understand the difference AI and machine learning can make.
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Sensor data and AI can help manufacturers pull actionable insights into the behavior and performance of their tools in real time.
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AI can empower sales and marketing teams to increase their account coverage and respond faster to customers’ changing needs.
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Unleashing the power of machine learning requires access to large amounts of diverse datasets, optimized data platforms, powerful data analysis, and visualization tools. When making your start with machine learning, ensure you consider how it will impact your IT environment.
SAP HANA* machine learning running on Intel® Xeon® processors provides helps speed in-database capabilities to process large data sets quickly.
Intel has teamed up with Fero Labs to boost machine learning capabilities in manufacturing by delivering cloud-based solutions that integrate hardware and software.
While setting up your organization for machine learning and other big data analytics use cases, it’s important to keep ROI high and TCO low.
The latest generation Intel® Xeon® Scalable processor is workload-optimized to support compute-intensive data applications.
All-new premium class of memory that can change the ways we build and use computers.
Boost data bandwidth and computational speed for Data Analytics applications.
Intel® Select Solutions for Advanced Analytics are hardware and software stacks optimized for performance and flexibility.