When I look back to where technology was in 2010, it's astounding to think about how much has changed -- and how so many of those advancements were fueled by open source. Ten years ago, AI was not a part of our everyday lives, most developers hadn't even heard of containers or microservices, blockchain was little more than an idea, and serverless was a far-off dream. Now these technologies, built on open source projects and the communities that surround them, are shaping how developers do their jobs and how people interact with technology on a daily basis. In this blog post, I talk about some of the trends that have shaped the past decade as we look forward to what 2020 -- and the next decade -- has in store for us. Before 2010, the concepts of containers and microservices were merely ideas.

Earlier this year, Talent Garden hired Spain's Lorena Pérez as its new chief people officer. With more than two decades of experience in HR, Pérez plans to use her expertise to scale Talent Garden in Europe while coming up with ways to retain and motivate the company's talent. She discussed the importance of conserving company culture while a company scales, and some of the ways she uses technology to improve her work and efficiency in HR. I come from the HR world, of course! I've been working for multinational companies, mainly creating and developing HR and people departments. I have more than 20 years of experience now, with my first relevant experience being in a communications company in the tech sector.

Through intelligent automation, optimum use of artificial intelligence (AI) and an unrivaled understanding of the latest training and professional development techniques, Sitel Group brings a new generation of super contact center associates and with it a new level of customer trust. Often when the subject of artificial intelligence (AI) comes up for discussion within the context of customer experience, the emphasis is on efficiency – how AI is reducing contact center costs or deflecting calls that under other circumstances would have resulted in a low-value direct interaction with a contact center associate. This type of conversation is too confining and fails to recognize the true potential of AI, especially when applied to empower frontline CX professionals. This isn't to say leveraging technology to optimize self-service is a bad thing. Customers demand the ability to resolve simple everyday issues at the moment they occur; and to find the answer to a simple question at the moment they need to ask it, without joining a voice queue and negotiating an IVR.

It's never a bad time to be an engineer--or to have people skills. LinkedIn's third annual US emerging jobs report has identified the 15 fastest-growing jobs, as well as the skills and cities most associated with them. This year the company found that the number of artificial intelligence and data science roles continue to expand across nearly every industry. For the first time, robotics has made an appearance on the list, and at least five roles in the ranking include the word "engineer" in the title. But it's not just high-tech roles that have seen a lot more hiring action in the past five years, which is how far back LinkedIn looks to measure the emergence of roles based on user profile data and hiring growth trends.

A new Professional Intelligence Report released by Data Bridge Market Research on Global Artificial Intelligence in Medical Imaging Market which describes the basic characteristics of the industry and market statistics. The influencing Factors of the report is growth of this market includes authorized regulations with respect to the usage of the information, availability of highly reliable products in the market, and increase in operational efficiency. The latest advancement in technology, policies, Artificial Intelligence in Medical Imaging market business plans, possibilities for growth and risks to the sector are being included. The report's two key sections are defined, namely market revenue in (USD$ Billion) and market size. The report provides both, qualitative and quantitative research of the Global Artificial Intelligence in Medical Imaging market, as well as integrates worthy insights into the rational scenario and favored development methods adopted by the key contenders.

Idea submissions are now being accepted for the 2020 Nittany AI Challenge. Student teams with a wide variety of skill sets are invited to submit their ideas for using artificial intelligence to improve the world by providing solutions for problems within the areas of education, health, sustainability, climate change and humanitarian challenges. Teams selected to participate in the three-phase process will be assisted in developing a minimal viable product (MVP) and have opportunities to receive prizes from a pool of $50,000. The deadline for idea submissions is Jan. Brad Zdenek, innovation strategist for the Nittany AI Alliance, said students do not have to be coders to participate, as each team has a need for various skill sets.

"The attention around AI tends to focus on the latest technologies," Iansiti argues, "but the firms that are thriving have harnessed the subtle, inherent power of AI to break down traditional operational constraints, capture new value, and accelerate growth and innovation." What sets AI-driven firms apart is their ability to avoid the inefficiencies and bottlenecks that plague growth when complexity -- primarily caused by humans -- outstrips organizational capacity. These firms strive to construct a model for operational execution that does not require human intervention (ideally, no real-time "human bottlenecks"). In the new digital operating model, most operational tasks circumvent humans entirely. The ultimate aim is to automate and digitize as many operational processes as possible to take advantage of digital reliability and scalability.

While the Trump administration scrapped a proposed rule to use facial recognition to identify all people entering and leaving the United States, in other areas the federal government is embracing an expanded use of the technology despite privacy concerns. Let's face it – facial recognition isn't going anywhere. Whether we realize it or not, most of use some type of facial technology software every day. It's being widely used in shopping, home security, and law enforcement, and millions of us use it constantly to open our smart phones. But privacy advocates and civil libertarians are raising alarms about the growing use of facial recognition technology by the federal government under President Trump.

A robotic exoskeleton that turns the wearer into a terrifying 8-foot tall robot that responds to human touch has been developed by a Japanese robotics company. Users inside the robot's huge frame can move their limbs to control the suit's arms and legs, while buttons on the robot's hand grips also allow control of the fingers. The'Arrive' suit has been designed and demonstrated by a Tokyo-based company called Skeletonics, which says its products are designed to make you'feel as if you were a giant'. Skeletonics provides a human body function expansion gear that, when attached, makes you feel'as if you were a giant' 'We, Japanese people, have the perception that robots equal something to fight, robots equal something to ride on,' said Skeletonics CEO Kento Hiroi. 'Those kind of image is very visually strong for us, so we are making this robot with the desire to make that dream come true.

Life insurance isn't as popular as it once was, despite the fact that a majority of people consider it to be important. Over 80% of consumers agreed in a recent survey that people need a life insurance policy, yet just 62% say they have one themselves. In fact, only 44% of U.S. households held individual life insurance as of 2010 -- a 50-year low -- compared with the 72% of Americans who owned life insurance in 1960. A New York- and Hartford, Connecticut-based startup hopes to reverse the trend with a novel service that rewards policyholders for making smart lifestyle choices. Dubbed Sproutt Insurance, it's the brainchild of insurance tech company Akitbo CEO Yoav Shaham, who nearly two years ago set out to blend analytics and health insights with AI to match people with life insurance providers.