RPA is becoming the new black for organisations and their digital transformation journey. The automation software for enterprises, RPA (Robotic Process Automation) allows configuration of computer software, or robot to emulate and integrate the actions of a human interacting within digital systems to execute a business process. The seven billion dollar valuation UiPath led by co-founder and CEO Daniel Dines - the world's first bot billionaire is making rapid strides in global RPA market. What will truly keep you ahead of the competition in terms of product features as RPA itself is a relatively new concept? Param Kahlon: The stability to take the platform to adopt it, to get it in production very quickly, learn it and have access to a lot of skills that are able to do RPA, has differentiated us. We are making a lot of progress in investments to continue leading the market.

Let's go through some of the IoT trends and challenges enthusiasts can expect to see by 2020. As IoT makes its way into multiple aspects and domains of our lifestyle, people are wondering if we can go past home assistance and connected house appliances. In 2019, we're at the forefront of seeing some of the best technological advances that are set to make a debut in 2020. One of the major trends experts expect to see is the implementation of SI to transform IoT-connected devices into a decision-making assistant for organizations and even individual consumers. Think of it this way; IoT comprises billions of devices connected to the cloud, and each of them acts as a data collector that helps in filling a central cloud database.

Editor's Note: This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It addresses the first question (part a.) on the character of war, and the third question (part d.) on the types of data that would be most useful for developing applications. Billy Beane, general manager of the struggling Oakland Athletics baseball team, faced a problem in the early 2000s. He needed to field a competitive team with one of the league's smallest budgets. Beane turned to what became known as a "moneyball" approach -- a new analytical method that valued a player's ability to get on base over traditional statistics like batting average and home runs.

The healthcare IT world is buzzing about the growing role of artificial intelligence (AI). This emerging, promising technology may soon help physicians diagnose and treat their patients faster and more accurately using complex algorithms and datasets–and in some cases, can even diagnose patients faster than human physicians. This future is not far away, either. Here are three ways AI will change the patient experience in the near future. AI in medical imaging has existed since the 1980s.

A company's strategy is defined by its key performance indicators. Artificial intelligence can help determine which outcomes to measure, how to measure them, and how to prioritize them. These pilgrimages have grown so common that tours now exist to facilitate inside peeks at innovative startups. Buoyed by hype and smatterings of algorithmic knowledge, returning executives share a common goal: determining what products, services, and processes AI can enhance or inspire to sharpen competitive edges. They believe a comprehensive strategy for AI is essential for success.

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances. AI generally refers to computers' ability to mimic human intelligence and to learn. For example, by using machine learning, scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyze radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. But AI in medicine also raises significant legal and ethical challenges.

Osaro, a San Francisco startup developing AI-based solutions for industrial robots, today announced that it's closed a $16 million series B funding round led by King River Capital (KRC), with participation from Alpha Intelligence Capital, Founders Fund, Fenox Venture Capital, GiTV Fund, and existing and strategic investors. It brings the startup's total raised to $29.3 million coming after a $10 million series A in April 2017, which cofounder and CEO Derik Pridmore said will bolster Osaro's hiring, international deployment, and R&D efforts. Alongside the funding round, Osaro revealed that Applied Digital Access, Mahi Networks, and Calix vereran Kevin Pope has joined as VP of engineering. "A key element of our competitive advantage is Osaro's … deep learning algorithms," said Pridmore, an MIT computer science and electrical engineering graduate who cofounded Osaro in 2015 with a team hailing from UC Berkeley, Stanford, and the University of Massachusetts. "These algorithms generalize picking tasks with minimal training data and no SKU registration for quick, scalable solutions. In addition, as a software company, we support a wide array of commodity hardware and robotic arms which lets our customers select options that best fit their needs."

Swiss pharma giant Novartis has partnered with tech giant Microsoft and launched its Novartis AI innovation lab as a means to leverage data and artificial intelligence to transform drug discovery and development. The new Novartis AI lab aims to significantly bolster Novartis AI capabilities from research through commercialization and help accelerate the discovery and development of transformative medicines for patients worldwide, the company announced Monday. As part of the strategic collaboration between the two companies, Novartis and Microsoft have committed to a multi-year research and development effort with a focus on AI empowerment and AI exploration. With AI empowerment, Novartis said the goal is for every employee in the lab to have the AI program on their computer. Using Novartis' datasets and Microsoft's AI solutions, the company said the lab will create new AI models and applications that can augment their discovery and development capabilities.

A team at NASA's Jet Propulsion Laboratory (JPL) is testing a 3D-printed Transformer-like new robot, Shapeshifter, which is capable of morphing into multiple configurations. And it is stated that a similar design could one day be leveraged to explore Saturn's moon Titan. Saturn's moon Titan is one of the most potential targets on any planetary scientist's list for exploration. But any mission to Titan will have to deal with an environment unlike any other – frigid temperatures, cryovolcanoes, caves, and lakes, seas, and rain of liquid hydrocarbons. However, the latest concept could encompass 12 mini robots – cobots (Collaborative Robots) – that can fly or swim, exploring caves and oceans and will go where other robots haven't been able to explore.

A team at NASA's Jet Propulsion Laboratory (JPL) is testing a 3D-printed Transformer-like new robot, Shapeshifter, which is capable of morphing into multiple configurations. And it is stated that a similar design could one day be leveraged to explore Saturn's moon Titan. Saturn's moon Titan is one of the most potential targets on any planetary scientist's list for exploration. But any mission to Titan will have to deal with an environment unlike any other – frigid temperatures, cryovolcanoes, caves, and lakes, seas, and rain of liquid hydrocarbons. However, the latest concept could encompass 12 mini robots – cobots (Collaborative Robots) – that can fly or swim, exploring caves and oceans and will go where other robots haven't been able to explore.