The rapid growth of the Internet of Things (IoT) has been fuelled by the falling cost of sensors, the proliferation of connected devices, and the advancement of artificial intelligence (AI). The IoT is the network of physical objects (vehicles, devices, buildings, etc.) embedded with sensors, software, electronics, and network connectivity that allows these objects to collect and exchange data. According to a recent report from McKinsey, the IoT could have a total economic impact of up to $12.6 trillion per year by 2030. While the IoT is still in its infancy, the AIoT represents the next wave of the IoT, where AI is used to turn data into insights and actions. The AIoT has the potential to transform industries and society, and it is already starting to have an impact.

For innovation and discoveries to flourish, they took the cues from nature. The upcoming years will witness astronomical growth in RPA tools deployed in both mundane and crucial areas of operations across all industries unanimously. Even pre-covid 19 days, the IT industry geared up to the winds of change. However, as a Service provider, we need to understand whether it is empowered to do. This sets the stage for doing a simple analysis through SWOT (Strength, Weaknesses, Opportunities and Threats) technique. If automation and RPA bots are going to be the'Solution Provider' during the troubled times, let us have a look at some of their strengths: If pitfalls are eclipsed, then it curtails the process for innovation and better customer satisfaction.

Until now, artificial intelligence has largely relied on cloud computing, which offers virtually unlimited computational power: this is advantageous when it comes to training data-heavy AI models in a reasonable amount of time and making inferences with reduced latency. Executing artificial intelligence and machine learning directly on Edge devices paves the way for a new era of intelligent and autonomous things. Edge devices powered by AI have emerged as an alternative with its own benefits for organisations, including latency, capacity for more complex algorithms, and near real-time response. They are also a go-to option when data protection laws prevent storage of data within a cloud-centric service.

Voice-enabled devices and AI were the innovations that everyone embraced over the past two years. In 2019, we see a broader landscape of changes come to the forefront. Some of these advancements are right around the corner, and others will take longer to develop into commercial products. However, each of these advancements provides insight into how our professional and personal lives will change. It's been years since we've had a new shape or material in the smartphone space, but that changed in the past two months.

The use of bots to meddle in political elections. Algorithms that learn who people are and keep them coming back to social media platforms. The rise of autonomous vehicles and drones that could displace hundreds of thousands of workers. The "robot apocalypse" that some envisioned with the rise of artificial intelligence hasn't arrived, but machine learning systems are becoming part of Californians' everyday lives, tech experts told state lawmakers in Sacramento earlier this month. As use of the technology becomes more widespread, so will the challenges for legislators who will have to grapple with how and when they should step in to protect people's personal data.

But without better transparency laws, the public will have little knowledge of what these automated systems are collecting from everyday people and whether their predictions are accurate, said Matt Cagle, a technology lawyer with the ACLU of Northern California.

Glenn Gore, the chief architect of Amazon Web Services, feels the cloud has democratised tech, and businesses that invest in data will be creative and transformative. The Chief Architect of Amazon Web Services, Glenn Gore, is setting the foundation on which future generations will look back and say it all began with these technologies. An orchestrator of all the things software developers/ builders love about AWS, Glenn has been pushing the boundaries in this new world where there is a convergence of software and data crunching on a real-time basis. With the era of edge analytics dawning, AWS wants to prepare developers for a scenario where AI, IOT and analytics will transform industries. Glenn is in the thick of things, working towards that mission.

In all honesty, while some companies are doing real cutting edge work that has only been enabled by recent advancements in compute and deep learning, others feel compelled to use these terms given the hype. In fact, their overuse can make it difficult to get to the heart of what the company is doing, why it is different, and what is defensible about their approach. For these reasons, two questions I often ask founders are (1) why do you need to use AI to solve the problem you're focused on and (2) why specifically did you select the approach you're using?" When founders have clear, compelling answers to these two questions, not only does it provide clarity on the value being created, but also gives me confidence that the founders have assessed their options. They are not over complicating the problem by using fancy techniques, and that they have identified a real opportunity to improve processes or enable new ones.

Machine intelligence, not blockchain or cloud technology, will have the biggest impact on the exchange industry, predicts new Nasdaq CEO Adena Friedman.

At this year's Annual Meeting of the New Champions, hosted by the World Economic Forum in Tianjin, China, the Meta-Council on Emerging Technologies choose the top ten technologies of 2016, based on their potential to transform industry and society. A diverse range of breakthrough technologies, including autonomous vehicles, natural language artificial intelligence, and next generation batteries, were examined in collaboration with Scientific American, highlighting advances that have the power to improve lives, transform industries, and safeguard the planet. The report also provides an opportunity to debate human, societal, economic, or environmental risks and concerns that the technologies may pose prior to widespread adoption. "The global community needs to come together and agree on common principles if our society is to reap the benefits and hedge the risks of these technologies," said Dr. Bernard Meyerson, Chief Innovation Officer of IBM, and Chairman of the Meta-Council. In raising awareness about these technologies, moreover, the Council aims to address challenges in investment and regulation.