AI technology is rapidly gaining popularity. Businesses are investing in AI to boost their revenue. It will perform a wide range of tasks, which will have huge consequences if you understand the basics of AI. You can use it to detect patterns in data. This will give you insight and allow you to extrapolate learned patterns.

These days, 'machine learning' is a buzzword you can't avoid while reading about pretty much any industry. Its ability to "outthink" humans is touted as a magical ROI booster that can drastically maximize productivity while minimizing resource expenditure. The security industry is no different. With internet-scale attack campaigns overwhelming security teams that struggle to process alerts quickly enough amidst oceans of data, machine learning was supposed to be the silver bullet for any modern cybersecurity problem. However, with great hype often comes great disappointment and we're now experiencing the blowback from a growing number of people who believe it has not at all lived up to expectation.

Enterprise Knowledge Graph vendors are working hard to find their place in the heart of businesses, helping them do more with and get more out of their mountains of data. Recently, for example, Stardog has adopted its leading Knowledge Graph platform to be "FIBO-aware," mapping to the Financial Industry Business Ontology (FIBO) semantic standards out-of-the-box. GraphPath launched what it says is the first Knowledge-Graph-as-a-Service (KGaaS) platform. And Maana, with its Knowledge Graph-centered Knowledge Platform, has been talking up its partnerships with clients like Shell to drive digital transformation efforts. As part of these efforts, work is underway to make it easier for businesses to adopt these solutions – for experts like data engineers who will manage the graphs, of course, but also for the business users who will consume data from them via different applications that developers create.

THE REWARD - Onboarding on a paying Proof of Concept test for EY France (amount depends on scope and complexity of PoC) - Direct collaboration with EY teams (experts) - Direct access to EY entreprenTHE REWARD - Onboarding on a paying Proof of Concept test for EY France (amount depends on scope and complexity of PoC) - Direct collaboration with EY teams (experts) - Direct access to EY entrepreneurial coaching services THE CHALLENGE EY wants to analyze all jurisprudence decisions in France using A.I and open data to create a court profile. The tool will be able to create an identity card with the profile of each court based on their decisions. If you think your startup meets these criteria, apply now to be selected! You may be working with one of the "Big Four" services firms. EY has a national presence in France with 4700 professionals in 15 areas.

THE REWARD - Onboarding on a paying Proof of Concept test for EY France (amount depends on scope and complexity of PoC) - Direct collaboration with EY teams (experts) - Direct access to EY entreprenTHE REWARD - Onboarding on a paying Proof of Concept test for EY France (amount depends on scope and complexity of PoC) - Direct collaboration with EY teams (experts) - Direct access to EY entrepreneurial coaching services THE CHALLENGE EY wants to leverage Open Data and artificial intelligence to improve the due diligence process (all the analysis performed when a company or a private equity wants to acquire all or some shares of another company). The future tool should be able to collect and analyze all data already in our possession. Moreover, it will also be able to collect available information on internet on the company analyzed, using social listening for instance. Data security is one of the priorities of EY, so the future tool must be able to guarantee it If you think your startup could help EY develop a tool based on Big Data and A.I. for our Transaction Services, apply now to be selected! You may be working with one of the "Big Four" services firms.