One can argue that even the most innovative banking institutions are bureaucratic enough, and their slow decision-making causing banks to lose their premium over fintech applications, peer to peer lending marketplaces, and payment processors. At the same time, many expanded into the business of micro-lending. Banking services are no longer a monopoly of banks, and traditional financial institutions have to innovate in order to survive. The era of non-traditional financial services providers such as Amazon Payments, PayPal Payments and PayU, has risen. The launch of the Payment Services Directive II in Europe unlocks new dynamics for FinTech and Payment Services.

The internet of things (IoT) will probably generate the mother of all data tsunamis. Softbank anticipates we'll see a trillion connected devices that will create $11 trillion in value by 2025. Intel is pretty happy about that, as it will create a huge demand for a data-centric world with lots of processors at both the center and the edge of the network. Jonathan Ballon, general manager of Intel's IoT group, spoke about IoT demand at this week's Intel "data-centric" news event in San Francisco, where the company introduced more than 50 new products, such as its second-generation Xeon Scalable flagship processor. Those products will help Intel attack a larger addressable market, and they will be used in the pipeline for processing data from IoT devices as they head to the datacenter and back.

Artificial intelligence (AI) – "the mimicking of human cognition by computers" – is a rapidly expanding field within medicine [1,2]. There is increasing evidence that AI may enhance the delivery of healthcare [1]. A well-known example is an AI system known as'Watson' created by IBM which is a decision support tool towards the diagnosis and management of oncology patients at Memorial Sloan Kettering Cancer Center [1]. As practitioners of medicine, we spend a lifetime refining our intuition with hard earned knowledge and skills to acquire the mindset for sophisticated decision-making in our increasingly complex patients. However, Watson can pull information and make decisions based on millions of such human physicians' life-time experiences, medical reports, patient records, clinical trials and published literature [1].

Amazon, like many other tech companies investing heavily in artificial intelligence, has always been forthright about its Alexa assistant being a work in progress. "The more data we use to train these systems, the better Alexa works, and training Alexa with voice recordings from a diverse range of customers helps ensure Alexa works well for everyone," reads the company's Alexa FAQ. What the company doesn't tell you explicitly, as highlighted by an in-depth investigation from Bloomberg published this evening, is that one of the only, and often the best, ways Alexa improves over time is by having human beings listen to recordings of your voice requests. Of course, this is all buried in product and service terms few consumers will ever read, and Amazon has often downplayed the privacy implications of having cameras and microphones in millions of homes around the globe. But concerns about how AI is trained as it becomes an ever more pervasive force in our daily lives will only continue to raise alarms, especially as most of how this technology works remains beyond closed doors and improves using methods Amazon is loathe to ever disclose. In this case, the process is known as data annotation, and it's quietly become a bedrock of the machine learning revolution that's churned out advances in natural language processing, machine translation, and image and object recognition.

AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc. AI and Machine learning had a tremendous impact and success in cyber security solutions. This similar trend will happen for IT Ops, DevOps, Cloud Ops.

AI is capable of making music, but does that make AI an artist? As AI begins to reshape how music is made, our legal systems are going to be confronted with some messy questions regarding authorship. Do AI algorithms create their own work, or is it the humans behind them? What happens if AI software trained solely on Beyoncé creates a track that sounds just like her? "I won't mince words," says Jonathan Bailey, CTO of iZotope. "This is a total legal clusterfuck."

Global Big Data Conference's vendor agnostic Global Artificial Intelligence(AI) Conference is held on April 23rd, April 24th, & April 25th 2019 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc..). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques. Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for businesses to effectively tailor their services by effective use of AI. Proper use of Artificial Intelligence can be a major competitive advantage for any business considering vast amount of data being generated.

Engineers at Missouri University of Science & Technology in Rolla are developing algorithms that could provide early warnings for motorists about flooded roads. The system could warn drivers to stay off flooded roads. Researchers began the yearlong project to use artificial intelligence to enhance flood evacuation plans in February for transportation agencies in the Midwest, including the Missouri Department of Transportation. The work focuses on the Meramec River basin in eastern Missouri and the areas of Nebraska and northwest Missouri that experienced record-breaking floods in late March from the Missouri River. Artificial intelligence could help deliver that information to motorists faster so to prevent people from being stranded on flooded roads, said Suzanna Long, the chair of engineering management and systems engineering at Missouri S&T.

Paris firefighters used drones and a water-spitting robot to help tame the Notre Dame Cathedral fire. Putting out Monday's fire at the famed Notre Dame Cathedral in Paris was a joint effort between hundreds of firefighters, emergency personnel and modern technology. Parisian firefighters used a combination of robots and drones to see, track and contain the blaze that ravaged the 800-year-old cathedral's roof, spire and stained glass windows. One instrumental player was Colossus, a water-firing robot that was deployed to quell the flames from inside the smoldering Gothic cathedral after firefighters were forced to evacuate certain areas. The tank-like robot, which was designed to transport equipment and wounded people, is equipped with cameras that allow the person who's operating it to see what's happening within danger zones.

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