Recent innovations in technology and the COVID-19 pandemic spurred many organizations to embrace automation. This includes incorporating intelligent automation to streamline their workflows. But while organizations are becoming smarter, consumers are asking for more human interaction. While the latest digital technologies have enabled organizations to thrive by making their operations more efficient, streamlined, and cost-effective, there's still the pressing need to incorporate personalization and humanization into their digital transformation strategies. How can the modern workplace ensure that its employees can adapt to digital transformation challenges?

I am a firm believer that data is shaping the world around us and so I constantly strive to drive awareness about the value of data and how it can bring great benefits to businesses and people. And, as I explained to Joe DosSantos in the latest episode of Data Brilliant, that means helping people identify the right data career path for them, and helping organizations understand the roles and skills they need within their business to help them succeed. I talk to business professionals and executives everyday about how they can implement technology into their organizations. It's about communicating the value of technology, its impact on organizational outcomes and how technology can be used to solve challenges. Whether it's discussing the impacts of edge to cloud, navigating siloed data, enabling AI services, or addressing AI ethics and risks, business executives are ready to use technology to help them succeed and competitively differentiate themselves.

A few weeks ago Tesla unveiled the latest mad creation spawned from the head of Elon Musk at their most recent AI conference. Previous greatest hits include "why can't we reuse our rockets?", "let's nuke Mars to terraform it" and my personal favorites "why can't we fire people in a vacuum tube at hundreds of miles per hour?" and "what if we graft a computer to your brain?". This time Tesla have truly outdone themselves when they asked what if we try to leapfrog Boston Dynamics? the result is the Tesla bot. So what is this new tech set to revolutionize the world of work?

Artificial Intelligence (AI), Cloud, 5G, and IoT are continuously advancing innovation that extends across business development all the way down to the consumer level. Critical innovations are emerging from the escalation of new technologies, including hybrid workforces, remote healthcare delivery, hyper-personalization, and zero-touch. These use cases are generating myriad benefits for both organizations and consumers, and inspiring new levels of efficiency, productivity, and engagement. We're currently witnessing a dynamic surge in technological advancement that has spawned the era of ubiquitous digital transformation, but these new technologies still need room to grow. Ronald van Loon is working in partnership with NVIDIA, and recently had the opportunity to discuss the technology trends and drivers shaping the post-pandemic future, and assess the role the Arm acquisition by NVIDIA is positioned to play in this development.

While early artificial intelligence (AI) programs were a one-trick pony, typically only able to excel at one task, today it's about becoming a jack of all trades. The goal is to write one program that can solve multi-variant problems without the need to be rewritten when conditions change--write once, run anywhere. Digital heavyweights--notably Amazon, Google, IBM, and Microsoft--are now open sourcing their machine learning (ML) libraries in pursuit of that goal as competitive pressures shift focus from proprietary technologies to proprietary data for differentiation. Machine learning is the study of algorithms that learn from examples and experience, rather than relying on hard-coded rules that do not always adapt well to real-world environments. ABI Research forecasts ML-based IoT analytics revenues will grow from 2 billion in 2016 to more than 19 billion in 2021, with more than 90% of 2021 revenue to be attributed to more advanced analytics phases.

When Tesla CEO, Elon Musk was asked about artificial intelligence, he said it was like'summoning a demon' who shouldn't be called unless you can control it. Yes, this is the founder of the same company whose cars are pushing new limits of technology every day. When Stephen Hawking was asked this same question by BBC, he cautioned the public by saying that any further advancement to artificial intelligence could be a fatal mistake. In another interview, he mentioned that AI has the power to re-design itself and take off on its own whereas humans have slow biological evolution, and they wouldn't be able to compete. Bill Gates, too, expressed his concern about this topic during a Reddit Ask me Anything session.