If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Solution development: Using historical data, involves extensive experimentation, testing and validation; Solution deployment: Using the solution to get the insight and/or decision support; Solution assimilation: In the workflow enabling actions based on insight and/or prediction made by the solution; Solution maintenance and update: Periodic checking and validation of the solution performance and update to improve performance if required. Solution maintenance and update: Periodic checking and validation of the solution performance and update to improve performance if required. Solution maintenance and update: Periodic checking and validation of the solution performance and update to improve performance if required. An algorithm works with available data footprint of the process of interest; It discovers the relationships between the process characteristics and the outcomes; The above relationships are, more often than not, in form of complex patterns; Discovering these patterns require application of powerful learning algorithms on the historical data; Discovered patterns lead to learning the required model parameters; An analysis/model application algorithm use these parameters to create the model and apply it on the new data in order to compute the output.
The Digital Hydro Plant complements GE's Digital Wind Farm, Digital Power Plant for Gas and Digital Power Plant for Steam, enhancing power generation reliability, efficiency, cybersecurity and profitability – targeted to reduce maintenance costs by up to 10%, increase plant availability by as much as 1% and boost revenues by up to 3%. ACQUISITIONS OF BIT STEW SYSTEMS, WISE.IO ACCELERATE DIGITAL INDUSTRIAL TRANSFORMATION GE Digital announced it has acquired Bit Stew Systems to bring its data intelligence capabilities to Predix and other industrial solutions. Wise.io's deep machine learning expertise – combined with GE Digital's existing data science talent and massive portfolio of industrial assets – will advance GE's Digital Twin capabilities and solidify its role as a leader in industrial machine learning. This news follow GE's recent acquisition of ServiceMax, a leader in cloud-based field service management solutions, which enables GE Digital customers to immediately gain more productivity from their assets and find greater efficiency in their field service processes.
Before we begin, we must caution you that some of today's remarks, including our guidance, our strategy, our competitive position, future business prospects, revenue, bookings, market opportunities, as well as statements made during the question-and-answer session, contain forward-looking statements. The growing excitement around algorithms, artificial intelligence and machine learning highlights the power for data-science to drive modern commerce. Real-time dynamic pricing, quoting and offers are essential to creating personalized and friction as customer experiences expected in modern commerce and data-science is the key to unlocking it. To simplify their customer experience, the company waned pricing that we both personalized for customer and prescriptive for their sales reps. With our deep industry experience, improving data-science made our cloud based price guidance edition a right fit.
The chips have been put to use in a variety of first-party Microsoft services, and they're now starting to accelerate networking on the company's Azure cloud platform. In addition to improving networking speeds, the FPGAs (which sit on custom, Microsoft-designed boards connected to Azure servers) can also be used to improve the speed of machine-learning tasks and other key cloud functionality. Azure CTO Mark Russinovich said using the FPGAs was key to helping Azure take advantage of the networking hardware that it put into its data centers. In the future, the Accelerated Networking service will expand to Azure's other virtual machine types and operating systems.
Compared to using an Intel Xeon E5-2690v4, which was launched earlier this year, Nvidia claimed its offering is 40 times more power efficient while being 45 times faster to respond. "A single server with a single Tesla P4 replaces 13 CPU-only servers for video inferencing workloads, delivering over 8x savings in total cost of ownership, including server and power costs," the company boasted. "Most customers will tell you that a GPU becomes a one-off environment that they need to code and program against, whereas they are running millions of Xeons in their datacentre, and the more they can use single instruction set, single operating system, single operating environment for all of their workloads, the better the performance of lower total cost of operation," she said. Nvidia today also announced its Drive PX 2 platform that is set to be deployed by Baidu in its self-driving car.
Gong's cloud-based artificial intelligence software helps improve the performance and productivity of B2B sales teams by analyzing their conversations with prospects and providing guidance about the best way to close a deal. In addition to the distributed nature of today's decision making process, the economics of remote sales or "inside sales" make it superior to traditional in-person "field sales." In a few months, Gong's engineers have developed an artificial intelligence software package that combines natural language processing (NLP) tools with machine learning to analyze, categorize, and quantify sales conversations and determine what works and what doesn't at a scale that was not available before to sales management. In addition to the pre-set topics, after about 2000 hours of conversations, Gong runs a machine learning algorithm that identifies topics specific to each conversation.
As a result, SQL database administrators, VMware infrastructure managers, network managers and perhaps other domain experts have to collaborate to find the real cause and devise a solution. In addition, SIOS iQ users can now more clearly define Microsoft SQL Server application-specific root causes of performance issues by leveraging SQL Sentry Performance Advisor. SQL Server is among the most popular databases that run on the VMware platform, explaining why SIOS leveraged its partnership with SQL Sentry to implement SQL Server-specific performance analysis. The new capabilities from SIOS iQ directly correlate observed performance anomalies with intelligent performance-related events from deep within the SQL Server platform.
ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies. "Dell and Mellanox are long-time partners, delivering Dell HPC Systems utilizing Mellanox InfiniBand, including the recently announced one petaflops system at the Center for High Performance Computing in South Africa," said Jim Ganthier, vice president and general manager, Engineered Solutions, HPC and Cloud, Dell.
Also, there was a reliance on agents, reps and clerical staff typing information into systems. Also, there was a reliance on agents, reps and clerical staff typing information into systems. Predictive modeling utilizes past historical data and automatically builds strategies to predict future customer tendencies and expectations. The key advantage of predictive analytics artificial intelligence software is that it can identify patterns in hours rather than the weeks or months that more traditional methods can take to come up with a conclusion (not necessarily the correct one).