The overarching term "artificial intelligence (AI)" is a hub with many spokes. One of the most exciting of these from a business perspective is machine learning. As I explained in my first blog in the series, at its most basic, machine learning involves'teaching' a computer to learn and change when given a vast amount of data. The computer is not necessarily explicitly programmed for these changes, but instead learns to spot patterns and make connections. Therefore, the machine learns (get it?)
Our first Machine Intelligence event in Paris will be kicked off at Numa and will cover the following topics: deep learning, NLP, computer vision, voice recognition, self-driving car and jet and how they apply to different industries. From psychology to medicine, global policy, or even how can we prevent terrorist attacks.
Following their success in data handling and processing to fuel the fire of Machine Learning, SAP has now jumped head long into the direct integration of Machine Learning in their tool through the launch of SAP CLEA. SAP CLEA is a recently launched Machine Learning Solution of SAP providing embedded intelligent systems on the SAP cloud platform with various applications involved. The focus is to drive business applications with smart algorithms and models for maneuvering unprecedented insights, be able to make better predictions and decisions and also automate the various routine redundant tasks while focusing on higher-value work. SAP CLEA is the first front of the future of SAP's Machine Learning systems which are to include several applications, tools and services, all developed in collaboration with and feedback from the various co-innovation customers across domains and regions.
The term artificial intelligence (AI) is thrown around in many contexts, especially in the tech industry. However, many people (including those in IT) don't actually understand what AI is, let alone the challenges and opportunities it presents. This is the first in a series of "AI for Dummies" blogs where I'll share the basics of all things AI.
We all see the term artificial intelligence (AI) thrown around in many contexts. AI is a buzzword in the tech industry in particular. However, many people (including those in IT) don't actually understand what AI is nor the challenges and opportunities it presents. Today, I'm beginning a series of blogs to share the basics of all things AI.
Over a period of 19 years, SAP Labs India has evolved to become an integral part of SAP's global strategy. Our India network helps SAP Labs India contribute significantly to SAP flagship products such as SAP HANA, the platform for next generation applications and analytics; SAP S/4HANA, the next generation business suite; and several individual applications and solutions like HANA Enterprise Cloud; industry cloud and SAP Cloud Platform. We can settle this debate once and for all by acknowledging that SAP HANA, the market-leading platform for real-time computing, that helps companies accelerate their business process, has evolved into a strong platform in the short period of its existence. As an example, today we have over 5200 startups developing on our SAP HANA platform, over 5400 customers for S/4 HANA, our next-generation business suite and 1400 SAP HANA One customers.
On February 9, 2017, two technology market leaders made announcements: SAP unveiled its next-generation intelligent ERP system, and Nvidia announced that demand for artificial intelligence (AI) applications was driving demand for its graphics platform. On the face of it, these announcements were business as usual – routine sound bites that proliferate in the tech news landscape. Look a bit deeper, though, and you realize that this day marked a profound shift in both the way businesses use technology and the implications for the rest of us.