Elon Musk’s Neuralink reminds us of what is possible in the age of Artificial Intelligence - do you know who you are?
Read More
The cornerstone of collaboration is based on knowledge transfer; sharing of research tools, methodologies and findings; and sometimes combining mutual funding resources to meet shortfalls necessary to build prototypes and commercialize technologies.
Collaborations often involve combinations of government, industry and academia who work together to meet difficult challenges and cultivate new ideas. A growing trend for many leading companies is creating technology specific innovation centers, labs, and foundries to accelerate collaboration and invention.
Read More
The potential for low-code/no-code platforms is enormous. Low-code increases the productivity of IT developers — sometimes by several orders of magnitude. And no-code empowers experts and subject matter experts primarily on the business or operations side (as opposed to IT) to become “citizen developers.” But as I explained in a previous article, low-code and no-code platforms are not a panacea; they face challenges.
Read More
There has been more than a modicum of buzz around what IDC calls intelligent process automation and what Gartner calls hyperautomation. In both cases, these terms refer to the integrated deployment of digital technologies such as robotic process automation (RPA), intelligent business process management suites (iBPMS), artificial intelligence, process mining, etc. Integrating digital technologies is far from a new concept. MIT and Deloitte advocated this approach back in the day when everyone was focused on social, mobile, analytics, and cloud (SMAC).
Read More
In 2007, statistician Nassim Nicholas Taleb defined “Black Swan” as an event that “is an outlier,” as it lies outside the realm of regular expectations. Black Swans by that definition are mostly unforeseen, rare, and can be created by geo-political, economic, or from other unexpected events.
Read MoreThis is Lars Wood’s only published paper, invited to appear in the proceedings of the first IEEE workshop on FPGAs for Custom Computing Machines in 1993. This paper is significant in that it demonstrates the expanse of FCCM computing using a non-numerical paradigm for numerical computations within a completely asynchronous optoelectronic machine. This paper is referenced as prior art for patents in the space, including one for interconnected optoelectronic FPGAs. The paper is considered a vision statement for FCCM in 1993. View original published paper in IEEE COMPUTER SOCIETY DIGITAL LIBRARY.
Read More
Artificial Intelligence is probably the most complex and astounding creations of humanity yet. And that is disregarding the fact that the field remains largely unexplored, which means that every amazing AI application that we see today represents merely the tip of the AI iceberg, as it were. While this fact may have been stated and restated numerous times, it is still hard to comprehensively gain perspective on the potential impact of AI in the future. The reason for this is the revolutionary impact that AI is having on society, even at such a relatively early stage in its evolution.
Read More
With advancements in deep tech, the operationalization of machine learning and deep learning models is burgeoning in the machine learning space. In a typical scenario within organizations involving machine learning or deep learning business cases, the data science and IT teams collaborate extensively in order to increase the pace of scaling and pushing multiple machine learning models to production through continuous training, validation, deployment and integration with governance. Machine Learning Operations (MLOps) has carved a new era of the DevOps paradigm in the machine learning/artificial intelligence realm by automating end-to-end workflows.
Read More
The analyst community is having a field day with hype around “low code.” IDC has predicted that there will be more and more low code used and that the worldwide population of low-code developers will grow with a CAGR of 40.4% from 2021 to 2025. Gartner predicted that low code will increase nearly 30% from 2020 to reach $5.8 billion in 2021. Forrester has also jumped on the low-code hype wagon and forecasted that by the end of 2021, 75% of application development will use low-code platforms.
Read More
AI systems are constantly evolving. Machine learning models learn from data and experience, and once they are released into the real world, they need to continually be monitored, tested, and retrained on an ongoing basis. It also needs to be created with ethical and responsible frameworks in place.
Read More
Organizations of all sizes are embracing AI as a transformative technology to power their digital transformation journeys. Still the challenges around operationalizing AI at scale can still seem insurmountable, with a large number of projects failing.
Read More
In the US, one in five children are living with a diagnosable behavioral health disorder; however, only 21% of those children who are diagnosed receive needed treatment. Often, parents have to wait one to three years to receive a proper and accurate diagnosis and an individualized treatment plan for their child.
Read More
Agriculture and farming is one of the oldest and most important professions in the world. Humanity has come a long way over the millennia in how we farm and grow crops with the introduction of various technologies. As the world population continues to grow and land becomes more scarce, people have needed to get creative and become more efficient about how we farm, using less land to produce more crops and increasing the productivity and yield of those farmed acres.
Read More
As technology evolves at a rapid rate – especially technology that incorporates artificial intelligence (AI) capabilities – so too does the potential for bias, disconnect, misuse of data, and the automation of impersonal actions or decisions. With the vast amounts of data collected, stored, and exchanged, capitalist societies risk the commoditization of personal data at the expense of the individual, instead of using personal data to foster valuable individual and societal relationships.
Read More
It's an AutoML World. The world of AutoML has been proliferating over the past few years - and with a recession looming, the notion of automating the development of AI and Machine Learning is bound to become even more appealing. New platforms are available with increased capabilities and more automation. The advent of AI-powered Feature Engineering - which allows users to discover and create features for data science processing automatically - is enabling a whole new approach to data science that, seemingly, threatens the role of the data scientist. Should data scientists be concerned about these developments? What is the role of the data scientist in an automated process? How do organizations evolve because of this new-found automation?
Read More
That the world has become a more dangerous place is no surprise to anyone who follows the cybersecurity industry. More devices, more data and more surface area, unfortunately, means more vulnerabilities to attack. I’ve been investing in the cybersecurity space for more than 20 years, and I’ve never seen the market move faster than it is changing today.
Read More
The Scoville Scale is a measurement chart used to rate the heat of peppers or other spicy foods. It can also can have a useful application for measuring cybersecurity threats. Cyber-threats are also red hot as the human attack surface is projected to reach over 6 billion people by 2022. In addition, cyber-crime damage costs are estimated to reach $6 trillion annually by 2021. The cybersecurity firm RiskIQ states that every minute approximately 1,861 people fall victim to cyber-attacks, while some $1.14 million is stolen. In recognition of these alarming stats, perhaps it would be useful to categorize cyber-threats in a similar scale to the hot peppers we consume. I have provided my own Scoville Scale-like heat characterizations of the cyber threats we are facing below.
Read More
There is a great deal of excitement these days around “digital transformation.” Instead of being preoccupied with “transformation,” companies may be better off paying attention to their level of maturity in deploying digital technologies – and then working diligently to become more digitally mature.
Read More
In my role as an investor, I’ve been hearing a lot of chatter lately about datacenter-as-a-service (DCaaS), the notion that datacenters should move towards a cloud-native architecture delivered as a service and that enterprises should no longer need their own IT ops teams. DCaaS promises to separate a company not only from its physical infrastructure but from the notion of physical infrastructure itself. It’s an appealing idea. Two decades ago..
Read More
The process of systems integration (SI) functionally links together infrastructure, computing systems, and applications. SI can allow for economies of scale, streamlined manufacturing, and better efficiency and innovation through combined research and development. New to the systems integration toolbox are the emergence of transformative technologies and, especially, the growing capability to integrate functions due to exponential advances in computing, data analytics, and material science. These new capabilities are already having a significant impact on creating our future destinies.
Read More