Developing the most effective plan of attack is the first step in putting AI ethics into practice, as it is with any ambitious project. The field of artificial intelligence is constantly developing. Most of the country's top ten businesses continue to invest in goods and services that use AI. The responsible use of AI, also known as "ethical AI," is increasingly important for businesses and their customers as this cutting-edge technology gains in popularity and more companies adopt it. Numerous risks are associated with AI for both people and companies. This cutting-edge technology can endanger an individual's safety, security, reputation, liberty, and equality, as well as discriminate against particular racial or ethnic groups.

Industrial digital transformation is critical to achieving new levels of safety, sustainability, and profitability--and "Industrial AI" is a key enabler of that change. Organizations are switching their focus from mass data accumulation to strategic industrial data management, homing in on data integration, mobility, and accessibility--with the goal of using AI-enabled technologies to unlock value hidden in these unoptimized and underutilized sets of industrial data. The rise of the digital executive (chief technology officer, chief data officer, and chief information officer) as a driver of industrial digital transformation has been a key influence on this trend. This has fueled the need for "Industrial AI," a new paradigm that combines data science and AI algorithms with software and domain expertise to deliver measurable business outcomes for the specific needs of capital-intensive industries. Industrial AI disrupts these industries by lowering barriers to adoption, offering new opportunities for industrial organizations to significantly reduce costs, improve efficiency, and transform their operations for the better.

Following the announcement of the first Networks Advanced Naval Technology Exercise (NetANTX) Prize Challenge, Naval Information Warfare Systems Command (NAVWAR) launched a second prize challenge in support of Project Overmatch, this one seeking artificial intelligence (AI) solutions. Project Overmatch is a high priority Department of the Navy initiative to deliver a more lethal, better-connected fleet of the future by connecting manned and unmanned platforms, weapons and sensors together in a robust Naval Operational Architecture that integrates with Joint All-Domain Command and Control for enhanced Distributed Maritime Operations. Critical to Project Overmatch is the development of networks, infrastructure, data architecture, tools and analytics that support the operational and developmental environment that will enable sustained maritime dominance for years to come. To deliver this modernized network, the AINetANTX challenge aims to identify and leverage the latest in AI-enabled technologies to allow warfighters to make critical decisions quickly in operationally relevant maritime environments. The challenge is offering $100,000 in total cash prizes for the best solution presented, with the first place entry winning $75,000, and second place winning $25,000.

In today's age of Big Data and rapid technological growth, Artificial Intelligence (AI) is revolutionizing how business-to-business (B2B) marketers engage with their target accounts. But while some organizations are seizing the opportunity, many still have a long way to go. For example, a recent Forrester report shows that 88% of marketers have used AI. Less than half, however, say technology is helping them meet their objectives, and only 15% of enterprises are effectively using AI to enhance the customer experience. In addition, according to a survey by Demandbase, Salesforce Pardot and Demand Metric, while there is strong interest in AI – with 84% of Sales and Marketing professionals currently planning, evaluating, implementing or using AI – 40% of respondents are not aware of or fully taking advantage of existing AI capabilities in their vendor-supplied technologies.

During Aragon Research's research community meeting this week, Jim and I were discussing what it will take to manage your workforce in the future; a hybrid mixture of humans and digital labor. The discussion got us thinking about what it means to manage technology versus what it takes to manage people, and how this will change as organizations introduce AI-enabled technologies. In this blog, we explore the differences and similarities between managing humans and technology to understand how management will change as we introduce technologies that can learn, recognize patterns, and change/respond. Digital labor is a term that applies to the automation of tasks that are performed by computer applications. Our future workforce will be a hybrid combination of humans and AI-enabled technologies (i.e., bots, assistants, robotics, etc.), supported by traditional non-AI technology.

Artificial intelligence (AI) is one of the most impactful technological revolutions the world has witnessed. Customers today are increasingly exposed to advanced technologies such as AI-enabled chatbots and intelligent voice assistants like Apple Siri, Google Assistant, and Amazon Alexa, making personalization a high priority for incumbent banks. Today, AI enables financial institutions to solve many critical problems, thereby saving money and increasing the efficiency of the workforce. By deploying AI-based solutions, banks can improve the outcome in various dimensions such as customer service, risk management, cross-sales, etc. A MEDICI research study of 34 major banks across several geographies (US, EU, Singapore, Africa, Australia, and India) found that 27 out of these 34 banks have implemented AI in their front-office functions in the form of a chatbot, virtual assistant, and digital advisor.

Chances are you've heard of artificial intelligence, which has found widespread adoption in our popular culture. Generally speaking, AI is a set of computer algorithms that can learn to make decisions without human intervention. That's AI, though I think we can all agree there is some room for improvement in that arena. It's fun to ponder what technological wizardry AI will offer future generations. Where it becomes daunting, however, is when we consider its long-term global implications and the structure necessary to harness its development.

Artificial Intelligence, or AI, is everywhere at CES 2019 and may be the hottest topic in conference sessions and on the exhibit floor. There are 490 exhibitors in the directory under the heading "Artificial Intelligence" and it seems like most of the other 4,000 are talking about it as well. With all the benefits of AI being touted for independent-living seniors -- well, for everyone, really -- it's enough to cause a conscientious family caregiver to say "I have to go buy an AI for my senior loved one." Then again, many of the technology devices, appliances, cars, smartphones and more we buy in the future will have AI in them -- and that will be a good thing. Strike that, it will be a GREAT thing.

The market for wearable technology is increasing steadily. Around 115 million wearables were shipped in 2017, which is 10.3 percent more compared to 2016. Apple took the lead with Apple Watch Series 3, and doesn't seem to let go of the gold in 2018. Together with Xiaomi, Fitbit, Garmin and Huawei, Apple makes up the majority of the market share and keeps smartwatch and fitness trackers first. However, the trend for other wearables is more than optimistic.

What do you think will drive more disruption and the use of AI? Satish Maripuri: Disruption comes from bringing organizations together across industries with a unique combination of capabilities to drive change. In the case of AI, we look for partnerships inside and outside of healthcare that can drive innovation effectively and more quickly create value. Right now, we are focused on some unique AI-related partnerships that allow radiologists to be the technology trailblazers they always have been. Radiologists began trailblazing technology with the introduction of picture archiving and communication systems (PACS) more than 20 years ago. Today, the latest advancements in radiology are highly receptive to the power of AI to improve productivity and accuracy while reducing the repetitive tasks that lead to burnout.