New York (CNN Business)Technology is a blessing and a curse for the modern office worker. Lightning-fast computers make the impossible possible. But constant distraction and friction slows work down. Workers are bombarded with a steady stream of emails, instant messages and requirements to log onto different systems to do such basic tasks as requesting vacation and filing expense reports. Citrix Systems (CTXS), which makes workplace platforms used by about 100 million people every day, is trying to improve the office technology experience by bringing a Facebook-like newsfeed to your work computer and smartphone.

Over the year, evolution in global technologies has made people move forward from fixed phones to mobile phones. Today, every sector is readily and rapidly adapting the Artificial Intelligence (AI). With the fast-paced modern industries, AI is becoming an integral part of business operations. AI is not limited trend-based forecasting in marketing but its presence is getting indispensable in every vertical of the company. AI is much more efficient in analysing data patterns, based on these patterns companies acquire in-depth knowledge about their potential customers, their requirements and their behaviour.

As evidence, he cited Beijing's access to vast amounts of data and its substantial investment in research and development for artificial intelligence.

As wildfire season raged in California this fall, a startup a few states away used artificial intelligence to pinpoint the location of blazes there within minutes -- in some cases far faster than these fires might otherwise be noticed by firefighters or civilians. Santa Fe-based Descartes Labs, which uses AI to analyze satellite imagery, launched its US wildfire detector in July. The company's AI software pores over images coming in roughly every few minutes from two different US government weather satellites, in search of any changes -- the presence of smoke, a shift in thermal infrared data showing hot spots -- that could indicate a fire has ignited. Descartes is testing its detector by sending alerts to select forestry officials in its home state of New Mexico and told CNN Business its wildfire detector has spotted about 6,200 total thus far. The company says it can often detect these fires when they're just about 10 acres in size.

Job Description The successful candidate will own all aspects of regulatory compliance processes/practices programs (including driving continuous improvement) within Intel's Internet of Things (IoT) Group. Product Regulatory Engr will support growth through expanded footprint in key verticals such as transportation, industrial/energy, retail, home/buildings etc through development and implementation of product regulatory test plans to ensure that the system development platforms (or products) meet regulatory requirements for countries where the products/platforms will be shipped. Responsibilities include: supporting design teams on product safety, functional safety, connectivity (WiFi-BT, Zigbee, Cellular, RFID, NFC), and EMC related issues.; Minimum QualificationsBS in Electrical Engineering, Physics or related field.• 3 years with regulatory certifications in product safety, EMC and/or RF/wireless• 3 years Rf/ Wireless regulatory certifications – FCC, PTCRB, experience with any of the carriers – ATT, Verizon, Nokia, Siemens, etc• 3 years EMC regulatory certification – FCC, CE, CISPRPreferred qualifications: – MS or PhD in electrical engineering or physics or related field preferred.- Unrestricted right to work in the US without sponsorship- Global product regulatory knowledge; inclusive of wireless safety EMC- Experience with wireless RF test methods and equipment- Experience in the design of wireless/RF systems including antennas is highly desired.-

Digital technology is widely accepted as a necessary part of driving improved supply chain efficiency and effectiveness. But some business leaders think it could go a step further, suggesting the technology could propel not only greater productivity, but help craft an autonomous supply chain able to identify, forecast and fix problems on its own. A combination of technologies, from artificial intelligence (AI) and machine-learning to digital twins and cloud computing, have made it increasingly possible for end-to-end supply chains to make decisions without the need for human intervention. These technologies, which appear to have all the right ingredients for the formation of an autonomous supply chain, are slowly permeating the market. Ocado is using advanced autonomous supply chain processes to help make accurate predictions.

Artificial Intelligence is still learning and getting stronger each day. But the pros and cons for the technology have always been in the limelight. From its use for data breaches to deepfakes, 2019 has shown us that AI is here to stay, but not without putting a price on our comfort. Where organisations take up most of your data to feed it to a machine-learning algorithm to get better results, you begin to question whether the data that you haven't shared yet is worth anything. There were also some instances where your nightmare of'AI overtaking the humans' was revisited.

Team MAVLab received a $1 million cash prize for winning the 2019 Artificial Intelligence Robotic Racing Championship. Team MAVLab, the drone research lab of the Delft University of Technology, won a $1 million cash prize as the leading AlphaPilot team of the 2019 Artificial Intelligence Robotic Racing Circuit, the autonomous drone racing series that accelerates AI innovation through futuristic sports competition. The winning team was announced by Lockheed Martin and The Drone Racing League (DRL), the professional drone racing circuit, following the AIRR Championship, which took place Friday (December 6) at the Austin American-Statesman in Austin, Texas. Lockheed Martin sponsored the $1 million cash prize. The AIRR Championship marked the final race of a four-event series that aims to advance the development and testing of fully autonomous drone technologies for real-world applications including disaster relief, search and rescue missions, and space exploration.

A child who has never seen a pink elephant can still describe one -- unlike a computer. "The computer learns from data," says Jiajun Wu, a PhD student at MIT. "The ability to generalize and recognize something you've never seen before -- a pink elephant -- is very hard for machines." Deep learning systems interpret the world by picking out statistical patterns in data. This form of machine learning is now everywhere, automatically tagging friends on Facebook, narrating Alexa's latest weather forecast, and delivering fun facts via Google search. But statistical learning has its limits.

Our core retail experience hasn't changed much in recent years. We go into a store (or to an online portal), we browse through the available options, try them out and make the purchase. Well, that's where the disruptions are happening thanks to artificial intelligence (AI). It has completely transformed the way we handle our retail experience – both from a customer's perspective as well from a business standpoint. Artificial Intelligence creates an opportunity for retailers to bridge the gap between virtual and physical sales channels. Brands are progressively using Artificial Intelligence to reduce cost, improve efficiency, achieve operational agility and increase the speed of decision making in the retail world. According to IBM's recent study, AI-driven intelligent automation in the retail and consumer products industries is projected to leap from 40 percent of companies today to more than 80 percent in the next three years.