There is no typecast for savvy AI businesses. They come in all sizes and represent an ever broadening swath of industry. Simply put, the era of artificial intelligence is remaking business as we know it.
Businesses see AI as a long-term strategic priority. In a recent survey from Infosys, three-quarters of the respondents from large, multinational corporations cited AI as fundamental to the success of their organization’s strategy. Sixty-four percent believe that their organization’s growth is dependent on large-scale AI adoption.
The main challenge is in figuring out how best to put AI to work. There is no universal answer. That was clear from the hundreds of companies that participated at our GPU Technology Conference last month. And it’s evident again at the O’Reilly AI conference this week in New York. Much like GTC, the conference draws thousands of participants in every industry, from startups to massive enterprises.
During a keynote address at O’Reilly this morning, I highlighted how companies of varying sizes from three different industries — automotive, healthcare and cybersecurity — are using AI in transformative ways.
Volkswagen Doubles Down on Deep Learning
Our new collaboration with Volkswagen, announced just yesterday, underscores how our AI work with major automakers extends from autonomous driving to the enterprise itself.
Drawing from our latest deep learning platform, Volkswagen is building NVIDIA GPU-based advanced AI systems for the Volkswagen Data Lab. There, VW researchers will oversee a variety of deep learning projects, including developing new procedures to help optimize traffic flow in cities and exploring new mobility services.
Additionally, the Data Lab is the cornerstone for a new AI startup program that will provide technical and financial support for international startups developing machine learning and deep learning applications for the automotive industry.
Deep Learning for Faster Diagnoses
The healthcare industry was one of the earliest adopters of AI and deep learning. It benefits from the research contributions of large, established medical organizations joined now by several lean and smart startups — all driving incredible innovation.
Athelas, a six-person healthcare startup based in Silicon Valley, has developed a portable blood diagnostic device that can measure white blood cell counts within minutes in the comfort of one’s home, enabling faster, life-saving diagnoses. Connected to an NVIDIA GPU-based neural network through a mobile phone interface, the machine can provide near-instant white blood cell count results from one drop of blood.
Fighting Malware with Deep Learning
With an estimated million-plus new malware threats created daily, cybersecurity firm Deep Instinct turned to deep learning methods to stop attacks before they happen.
As part of its approach, the company built its own NVIDIA GPU-based neural network from scratch. This was followed by an intensive training session in which they fed hundreds of millions of files, both malicious and benign, into the network.
Using the incredible computing power of NVIDIA GPUs, Deep Instinct was able to train the network to spot potential file threats in just under a day, a process that would have taken over three months on a conventional CPU-based system.
More Industry-Based Profiles
Auto, health and cybersecurity are just three of many industries innovating with AI and deep learning technologies. Banking, retail, finance, manufacturing and more are also on the frontline, using our GPU computing platform to transform their businesses and associated industries.
Learn more at http://www.nvidia.com/object/ai-across-industries.html.