Genpact's study, Commercial Banking: The Customer Experience Imperative, surveyed 500 senior commercial banking executives on the industry's changing landscape. The research reveals that while many banks understand the growing importance of CX and AI, questions remain regarding their ability to use AI for greater value and mine data effectively to embrace digital transformation and enhance service. The good news is most banks are optimistic about the future. Two-thirds of respondents say they expect to use AI across their organization in the next 12 to 18 months, compared with fewer than one in five today. Yet, some executives surveyed seem hesitant about whether AI will deliver on its promises to drive new personalized services to improve customer experience.

Key Questions Answered in this Report: • What is the estimated global artificial intelligence in agriculture market size in terms of value during the period 2018-2024? Global Artificial Intelligence (AI) in Agriculture Market Forecast, 2019-2024 The Global Artificial Intelligence (AI) in Agriculture Market Analysis projects the market to grow at a significant CAGR of 28.38% during the forecast period from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Artificial intelligence has emerged to be a strong driving force behind the growth of data-driven farming.Regions and countries where agriculture is the major source of livelihood and sustenance, the artificial intelligence technology has led to greater profitability in the farms of those economies. The reduction in expenditure and resultant positive RoI with AI's integration in farm equipment and operations has even reached above 30% in a few countries.

AI algorithm has been able to forecast the movement of the Apple stock price (AAPL) with an accuracy of up to 96%. The I Know First predictive AI algorithm has been able to forecast the movement of the Apple stock price (AAPL) with an accuracy of up to 96%, says an evaluation report released by the Tel Aviv-based company on July 23 2019. The assessment covers the forecasts for the period from January 1 until July 23 2019, with time horizons ranging from 3 days to 3 months. The algorithm, which was initially designed to help investors identify undervalued stocks, has demonstrated a consistent accuracy rate above 65%. Three-month forecasts have proven to be the most accurate ones, with demonstrating precision of nearly 100%.

TYSONS, VA – Appian (NASDAQ: APPN) today announced the latest version of the Appian Platform. The new release of the low-code application development platform increases the speed and business impact of low-code automation for developers, administrators, and end-users. The latest version delivers enhancements to Appian AI, further-expansion of Appian's Connected Systems architecture, integrated Health Check in every application, and simplified DevOps, making it easier than ever to develop, deploy, change, and manage Appian applications. Appian AI, a fast way to add best-of-breed artificial intelligence to any Appian application, now offers Google Cloud Translation as a Connected System. Customers can enable any app to detect languages and translate text with no coding. In addition, this release provides an updated Google Cloud Vision Connected System which now offers integration with Optical Character Recognition (OCR).

WEST LAFAYETTE, Ind. – 3D manufacturing technology from a Purdue University-affiliated company may soon play an even bigger part in helping the Department of Defense manage its digital assets to protect the United States. Imaginestics LLC, a software company headquartered in the Purdue Research Park of West Lafayette, has received a $1.5 million SBIR (Small Business Innovation Research) Phase II grant through the U.S. Air Force. The award comes after the company was hired in 2017 to create a new system for the Air Force to better manage additive manufacturing (AM). "Imaginestics' mission is to build artificial intelligence-powered solutions for managing digital assets, which aligns perfectly with the needs of the Air Force," said Jamie Tan, CEO and co-founder of Imaginestics. Jason Mann, additive manufacturing technical lead for the 76th CMXG Reverse Engineering and Critical Tooling (REACT) lab at Tinker Air Force Base, said, "Imaginestics is building an Additive Manufacturing Advisory System (AMAS) that will provide the Air Force with a method of effectively storing, manipulating and presenting AM data in a form useful to AM engineers. It will provide provenance for AM parts, the ability to see trends in AM equipment performance, and manage the workflow for AM and reverse engineering tasks. Hosting the software on the AWS GovCloud will allow other depots to utilize the software to share AM data between all organizations involved in AM, while also supporting downstream processes that go with AM to minimize depot maintenance cost."

WEST LAFAYETTE, Ind. - 3D manufacturing technology from a Purdue University-affiliated company may soon play an even bigger part in helping the Department of Defense manage its digital assets to protect the United States. Imaginestics LLC, a software company headquartered in the Purdue Research Park of West Lafayette, has received a $1.5 million SBIR (Small Business Innovation Research) Phase II grant through the U.S. Air Force. The award comes after the company was hired in 2017 to create a new system for the Air Force to better manage additive manufacturing (AM). "Imaginestics' mission is to build artificial intelligence-powered solutions for managing digital assets, which aligns perfectly with the needs of the Air Force," said Jamie Tan, CEO and co-founder of Imaginestics. Jason Mann, additive manufacturing technical lead for the 76th CMXG Reverse Engineering and Critical Tooling (REACT) lab at Tinker Air Force Base, said, "Imaginestics is building an Additive Manufacturing Advisory System (AMAS) that will provide the Air Force with a method of effectively storing, manipulating and presenting AM data in a form useful to AM engineers. It will provide provenance for AM parts, the ability to see trends in AM equipment performance, and manage the workflow for AM and reverse engineering tasks. Hosting the software on the AWS GovCloud will allow other depots to utilize the software to share AM data between all organizations involved in AM, while also supporting downstream processes that go with AM to minimize depot maintenance cost."

Built on verified architectures that combine NVIDIA DGX systems for compute and flash storage technology, the Cloud for Data Scientists provides accelerated GPU compute tuned to the demands of deep learning. Core Scientific is a leader in artificial intelligence and blockchain technologies, delivering best-in-class infrastructure and software solutions. In an increasingly distributed and connected world, Core Scientific believes that AI and blockchain are changing the way information is processed, shared and stored across a range of industries. Announced earlier this year, the Core Scientific AiLab is an artificial intelligence and machine learning cloud built from the ground up for the needs of data scientists. "Providing leading edge AI infrastructure and AI applications and tools to Equinix customers is an integral part of our strategy," said Kevin Turner, CEO of Core Scientific.

Philips announces the launch of IntelliSpace AI Workflow Suite to enable healthcare providers to seamlessly integrate AI applications into the imaging workflow. Part of Philips' new enterprise imaging informatics solution, the comprehensive AI workflow platform provides a full suite of applications for integration and centralized workflow management of AI algorithms, delivering structured results wherever they're needed across the healthcare enterprise. Partners at launch include Aidoc, MaxQ AI, Quibim, Riverain Technologies and Zebra Medical. IntelliSpace AI Workflow Suite was unveiled at the 2019 Radiological Society of North America Annual Meeting (RSNA). Leiden University Medical Center (LUMC) in the Netherlands recently signed an agreement to be the first healthcare provider to install the platform.

NFL and AWS will use data and analytics to co-develop the "Digital Athlete," a platform that aims to improve player safety, treatment, and ultimately, predict and prevent injury Building on the existing Next Gen Stats (NGS) partnership and as the NFL marks its 100th season, AWS and NFL will innovate together to shape the future of football. The partnership aims to leverage AWS's artificial intelligence (AI) and machine learning (ML) services to provide a deeper and more profound understanding of the game than ever before, making transformational change possible in football, other sports, and potentially other industries. The NFL and AWS will develop new tools and generate deeper and better-informed insights into player injuries, specifically the impact of a variety of factors such as game rules, equipment, and rehabilitation and recovery strategies. Over time, the collaboration aims to also build the capability to predict the risk of player injuries before they happen. "The NFL is committed to reimagining the future of football," said NFL Commissioner Roger Goodell.

Over the past several years, artificial intelligence (AI) has quietly become part of our daily lives. The smart replies generated by your email or smartphone, the tagging of photos on social media, product recommendations on e-commerce sites, the directions provided by mapping apps, and the music and video recommendations on streaming services all use the predictive power of AI. Graphics processing units (GPUs) from NVIDIA (NASDAQ:NVDA) were the early beneficiary of the trend, resulting in staggering growth since the dawn of AI. The massive parallel processing capability of GPUs to render images also turned out the be the best available solution for AI systems. The company's rivals have been scrambling to build a better mousetrap in an effort to seize control of the lucrative AI chipset market.