More and more, federal agencies are looking to integrate artificial intelligence and automation into their day-to-day workplace functions, particularly to implement internal controls and compliance measures to counteract fraud and improve efficiency. At a Sept. 18 Association of Government Accountants (AGA) event, experts in AI and robotic process automation from public- and private-sector organizations stressed that automating lower-level functions, such as data processing claims, would free up employees to work on higher functions that require more analytical skills and mission-specific duties. "Artificial intelligence operates in real time to enable personalized experiences," said Dan Chenok, executive director of IBM's Center for the Business of Government and a former government official. Comparing AI to the chat boxes that often accompany internet users when they're shopping online, Chenok pointed out that such technologies are constantly building upon themselves to improve users' experiences and stamp out common problems that users may encounter when using a government website. AI and RPA also allow workers to identify patterns of potential fraud or other misuse, according to Jennifer Main, the chief operating officer for the Center for Medicare and Medicaid Services.

As a project manager, you've probably engaged in a number of IT projects throughout your career, spanning complex monolithic structures to SaaS web apps. However, with the advancement of artificial intelligence and machine learning, new projects with different requirements and problems are coming onto the horizon at a rapid speed. With the rise of these technologies, it is becoming less of a "nice to have" and instead essential for technical project managers to have a healthy relationship with these concepts. According to Gartner, by 2020, AI will generate 2.3 million jobs, exceeding the 1.8 million that it will remove--generating $2.9 trillion in business value by 2021. Google's CEO goes so far as to say that "AI is one of the most important things humanity is working on. It is more profound than […] electricity or fire." With applications of artificial intelligence already disrupting industries ranging from finance to healthcare, technical PMs who can grasp this opportunity must understand how AI project management is distinct and how they can best prepare for the changing landscape. Before going deeper, it's important to have a solid understanding of what AI really is. With many different terms often used interchangeably, let's dive into the most common definitions first.

The White House's Office of Science and Technology Policy is gathering agencies' tech leaders next week to hear about the use of artificial intelligence in government. A "broad range" of federal IT officials -- including chief information officers, chief data officers and chief technology officers -- have been invited to the White House for a summit Monday to highlight current AI use cases across government and discuss future applications. The meeting will be led by OSTP staff, namely U.S. CTO Michael Kratsios and Director Kelvin Droegemeier, in support of the Trump administration's American AI Initiative. The agency has also invited members of academia and tech companies focused on AI to attend. Lynne Parker, OSTP assistant director for AI, said Wednesday at the Billington CyberSecurity that the summit will highlight "a number of the key ways that government is actually making good use of AI" in improving services and delivering solutions to complex challenges.

What are the risks and benefits of artificial intelligence? It's a complicated topic, but I'll try to unpack a few key points here. Let's start with a quick definition: AI is the simulation of human intelligence by machines. Example of AI systems used regularly in developed countries include Amazon's Alexa, smart replies in Gmail, Chatbots, predictive searches in Google, and recommendations. At a baseline level, AI helps improve our everyday lives by solving pain points, streamlining processes, and advancing human knowledge.

What are the risks and benefits of artificial intelligence? It's a complicated topic, but I'll try to unpack a few key points here. Let's start with a quick definition: AI is the simulation of human intelligence by machines. Example of AI systems used regularly in developed countries include Amazon's Alexa, smart replies in Gmail, Chatbots, predictive searches in Google, and recommendations. At a baseline level, AI helps improve our everyday lives by solving pain points, streamlining processes, and advancing human knowledge.

Which uses will face a ban, it's not yet clear: while some cities have banned use by police departments, Portland's focus is restricting use by the private sector. And the debate is not confined to the US. In the UK, there is growing concern over the use of live facial recognition after it emerged that a property developer had been collecting images of people's faces in an area of London for two years without informing them. We still don't know how that data was used, Daragh Murray, a human rights lawyer at the University of Essex, said on stage.

Walgreens is getting its wings. The pharmacy chain has teamed up with Alphabet's drone delivery service Wing to bring food and beverage, over-the-counter medication and other items to consumers. This'store to door' testing is set to begin next month in Virginia and will offer more than 100 products and pre-built'packs' for purchase in the Wing app. Walgreens has teamed up with Alphabet's drone delivery service Wing to bring food and beverage, over-the-counter medication and other items to consumers The partnership between Walgreens and Wing aims to further explore the future of health and wellness products and retail delivery through the air, offering product availability and home delivery minutes after placing orders via the Wing app. 'Walgreens continues to explore partnerships to transform and modernize our customer experience and we are proud to be the first retailer in the U.S. to offer an on-demand commercial drone delivery option with Wing,' said Vish Sankaran, chief innovation officer, Walgreens Boots Alliance, Inc., in a press release.

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Amazon's controversial Rekognition computer vision technology is now being used to rid food sites of surprise dick pics. The London-based food delivery service Deliveroo has a definite content moderation challenge. It seems that when there's a problem with a food order, Deliveroo customers often send in a photo of the food with their complaint. Or they arrange the food into the shapes of private parts. Deliveroo's employees, it turns out, don't necessarily want to see stuff like that. So the company uses Rekognition to recognize unsavory photos and blur or delete them before they reach human eyes.

In a short span of time, Artificial Intelligence and Machine Learning (AI ML) have become the central marketable assets for SaaS and Cloud businesses. "Technology Maturity" of the organizations which are already offering and leveraging AI ML and data infrastructure in the Cloud range from start-ups, to innovators and pioneers, to leaders and trend-setters. The worldwide public cloud services market is projected to grow 17.5 percent in 2019 to total $214.3 billion, up from $182.4 billion in 2018, according to Gartner, Inc. Forrester predicts the Public Cloud market to reach $411 billion by 2022. "Fewer, but larger, Public Cloud platform providers and a maturing SaaS ecosystem will dominate Enterprise Cloud spending. CIOs should use this forecast to benchmark the pace and shape of their public Cloud strategies."