Artificial Intelligence (AI) promises to drive growth of the United States economy, enhance our economic and national security, and improve our quality of life. The United States is the world leader in AI research and development (R&D) and deployment. Continued American leadership in AI is of paramount importance to maintaining the economic and national security of the United States and to shaping the global evolution of AI in a manner consistent with our Nation's values, policies, and priorities. The Federal Government plays an important role in facilitating AI R&D, promoting the trust of the American people in the development and deployment of AI-related technologies, training a workforce capable of using AI in their occupations, and protecting the American AI technology base from attempted acquisition by strategic competitors and adversarial nations. Maintaining American leadership in AI requires a concerted effort to promote advancements in technology and innovation, while protecting American technology, economic and national security, civil liberties, privacy, and American values and enhancing international and industry collaboration with foreign partners and allies. Artificial Intelligence will affect the missions of nearly all executive departments and agencies (agencies).

Until one and a half years ago, Devidas Lonkar from Chakan town of Pune district had to depend on local fertiliser and pesticide sellers to resolve diseases and fungal issues in his crops. Hailing from an agrarian background, the 26-year-old farmer grows sugarcane, cabbage, cauliflower as well as beetroot and groundnuts across a 7-acre plot. "I would describe the symptoms of fungus or disease to the shopkeeper, to which he would then suggest various pesticides and add-ons. It took me a while before realising that these shopkeepers only suggested chemicals with short-lived efficiency that would inevitably bring farmers back to them within a couple of months," he says. "This app ended up saving me a lot of money as well as time. Sitting at home, I can now diagnose plant diseases and have already saved about Rs 1-1.5 lakh in a year that I would otherwise spend on fertilisers," he mentions.

Creative Virtual is one of only four companies in London to be recognised by The Queen's Awards for Enterprise in the category of Innovation in 2017. The company was selected for this honour not only for our innovative technology, but also because of the hard work and dedication of our global team. Creative Virtual's experienced, expert team is what sets the organisation apart from others in the industry. As part of the five-year celebration of our Queen's Awards for Enterprise, we're talking with some members of the Creative Virtual team about the technology, their involvement in the industry and what winning this award means to them. Today we introduce Rachael Needham, Head of Delivery Management with Creative Virtual USA.

"And so you run out of patience along the way, because you spend your first year just collecting and cleansing the data," said Mr. Krishna, who was interviewed at The Wall Street Journal's Future of Everything Festival last week. "And you say: 'Hey, wait a moment, where's the AI? Mr. Krishna didn't name clients or say how many had halted projects. One well known example of an AI project unraveling happened in 2017 at the University of Texas' MD Anderson Cancer Center, which aimed to use IBM's AI platform, Watson, to improve cancer care. An audit by the University of Texas showed the cancer center was using old data, among other issues. A report this month by Forrester Research Inc. found that data quality is among the biggest AI project challenges. Forrester analyst Michele Goetz said companies pursuing such projects generally lack an expert understanding of what data is needed for machine-learning models and struggle with preparing data in a way that's beneficial to those systems. She said producing high-quality data involves more than just reformatting or correcting errors: Data needs to be labeled to be able to provide an explanation when questions are raised about the decisions machines make. While AI failures aren't much talked about, Ms. Goetz said companies should be prepared for them and use them as teachable moments. "Rather than looking at it as a failure, be mindful about, 'What did you learn from this?'" she said. Mr. Krishna said he couldn't specify what percentage of IBM-related AI projects were halted over the past five years. But he said: "In the world of IT in general, about 50% of projects run either late, over budget or get halted.

Today's business landscape is demanding that companies spearhead large-scale changes in order to survive and remain competitive. In an ever-changing political, social, and economic climate, constant organizational change is the new normal. Few advancements promise to help organizations cross critical business chasms more profoundly than Artificial Intelligence. When it comes to business operations, Artificial Intelligence has enormous potential to catapult companies beyond the status quo and adapt to new dynamics. According to research by Walker, customer experience will overtake price and product as the key brand differentiator by 2020. The centrality of customer experience in today's business landscape has motivated many companies to adopt a more holistic approach to customer experience improvement.

As the Central Intelligence Agency harnesses machine learning and artificial intelligence to better meet its mission, insiders are aggressively addressing issues around bias and ethics intrinsic to the emerging tech. "We at the agency have over 100 AI initiatives that we are working on and that's going to continue to be the case," Benjamin Huebner, the CIA's privacy and civil liberties officer said Friday at an event hosted by the Brookings Institution in Washington. "That's a big complicated issue that we are very much thinking about all the time." Huebner said collaborating with the intelligence agency's data scientists is one of his favorite parts of his job. His privacy team works directly with their tech-facing colleagues on projects around statistics, coding, and graphical representations.

New research from Google shows how machine learning could one day be used to detect signs of lung cancer earlier than often occurs today. Early warning: Danial Tse, a researcher at Google, developed an algorithm that beat a number of trained radiologists in testing. Tse and colleagues trained a deep-learning algorithm to detect malignant lung nodules in more than 42,000 CT scans. The resulting algorithms turned up 11% fewer false positives and 5% fewer false negatives than their human counterparts. The work is described in a paper published in the journal Nature today.

With people examining further into the universe of innovation, artificial intelligence or AI is presently ubiquitous. Interestingly, albeit artificial intelligence is an innovation of interest at this moment, the idea has been around for over seven-plus decades now. With increased awareness about the transformative intensity of AI, the adoption of AI is presently being seen across numerous enterprises. From enormous banks like HDFC Bank to e-commerce business players like Pepperfry, AI is being utilized for a large variety of use cases.

While all systems reflect the intentions and biases of their human creators, artificial intelligence takes things in a new direction, connecting inferences in unexpected, and often, unexplainable ways. That's why some leading voices in the academic and computer science community are calling for a new way of studying and understanding AI actions, which they call "machine behavior." In a recent post, I explored current-day drivers of AI, which include gamers, hipsters and angels, who have applied the technology in highly unexpected ways. So, already, there are new forces at work bringing AI into the mainstream of business and society. In addition, C-level executives have increasing responsibility for the actions and behaviors of their AI-driven systems.

Ride-hailing company Lyft has passed an important mile-marker in its self-driving car program by successfully delivering more than 50,000 rides, making it the most well-trafficked U.S. program of its kind. According to the company, the milestone marks a ten-fold increase over its total in August 2018 when the program announced that it reached 5,000 rides. The program currently operates 30 modified BMW's within a 20 square-mile area in Las Vegas where it delivers riders to some of the city's most heavily trodden areas, like the Las Vegas strip. Lyft has become the the largest ride-hailing program that lets users take self-driven vehicles. Lyft says the precedent is significant not just for the sheer volume of rides, but for the reported quality.