Collaborating Authors


AI, 5G, and IoT will be the most important tech of 2021, IT leaders say


With more organizations and professionals relying on remote working technologies, there has been an increase in cybercrime during the global pandemic. Understandably, CIOs and CTOs have concerns when it comes to cybersecurity, their two biggest challenges being workers using their own devices at work (37%) and securing the Internet of Things (35%). However, just 34% of respondents said they were capable of tracking and managing between 26-50% of the connected devices used in their organizations, and just 20% said they could do this for 51-75% of IoT devices. Elsewhere in the survey, CIOs and CTOs provided a glimpse into their biggest priorities since the outbreak of coronavirus at the start of 2020. It found that IT leaders are quickly adopting cloud computing (55%), 5G (52%), as well as AI and machine learning (51%) in response to the pandemic.

Leveraging collective intelligence and AI to benefit society


A solar-powered autonomous drone scans for forest fires. A surgeon first operates on a digital heart before she picks up a scalpel. A global community bands together to print personal protection equipment to fight a pandemic. "The future is now," says Frédéric Vacher, head of innovation at Dassault Systèmes. And all of this is possible with cloud computing, artificial intelligence (AI), and a virtual 3D design shop, or as Dassault calls it, the 3DEXPERIENCE innovation lab. This open innovation laboratory embraces the concept of the social enterprise and merges collective intelligence with a cross-collaborative approach by building what Vacher calls "communities of people--passionate and willing to work together to accomplish a common objective." This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "It's not only software, it's not only cloud, but it's also a community of people's skills and services available for the marketplace," Vacher says. "Now, because technologies are more accessible, newcomers can also disrupt, and this is where we want to focus with the lab." And for Dassault Systèmes, there's unlimited real-world opportunities with the power of collective intelligence, especially when you are bringing together industry experts, health-care professionals, makers, and scientists to tackle covid-19. Vacher explains, "We created an open community, 'Open Covid-19,' to welcome any volunteer makers, engineers, and designers to help, because we saw at that time that many people were trying to do things but on their own, in their lab, in their country."

Laetitia Cailleteau: Accelerating the Future of Artificial Intelligence with Disruptive Innovation


Accenture is a global professional services company with leading capabilities in digital, cloud and security. They are known for delivering unmatched experience and specialized skills across more than 40 industries, through their Strategy and Consulting, Interactive, Technology and Operations services--all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Their 506,000 people deliver on the promise of technology and human ingenuity every day, and serve clients in more than 120 countries. Accenture embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Laetitia Cailleteau is the Managing Director, UKI Emerging Technology and Global Lead for Conversational AI for Accenture.

Wipro's Annual State of Cybersecurity Report Finds Increasing Adoption of AI in Cybersecurity to Tackle Advanced Adversaries


Wipro Limited, a leading global information technology, consulting and business process services company, released its annual State of Cybersecurity Report (SOCR) that presents changing perspectives of cybersecurity globally. The report provides fresh insights on how Artificial Intelligence (AI) will be leveraged as part of defender stratagems as more organizations lock horns with sophisticated cyberattacks and become more resilient. There has been an increase in R&D with 49% of the worldwide cybersecurity related patents filed in the last four years being focussed on AI and Machine Learning (ML) application. Nearly half the organisations are expanding cognitive detection capabilities to tackle unknown attacks in their Security Operations Center (SOC). The report also illustrates a paradigm shift towards cyber resilience amid the rise in global remote work. It considers the impact of COVID-19 pandemic on cybersecurity landscape around the globe and provides a path for organizations to adapt with this new normal.

Work from anywhere: Is 2021 the future of work?


It's perpetually surreal to be living through what will inevitably be a historical pivot point. Our short-term adjustments are giving way to long term changes, and it's astounding how apparent that is. Nevertheless, the substance of the changes to work and culture, the ones that will survive, remain elusive, a betting person's game. Fortunately, some executives are willing to wade into the murky waters of prediction. One of them is Audrey Khusid, founder and CEO of Miro.

Criss-Crossing AI With the Future of Work


In less than a year, these same scholars will be writing about the "future of labor," and given the speed of innovation, by the time these articles are published, they will be made obsolete. Based on the research recently conducted by the newly formed Stanford Digital Economy Lab, before the pandemic, in early March, remote workers represented 15% of the workforce in enterprise-level organizations. Now that number is well over 50%, and the trajectory is steepening daily as we record higher levels of infections. In this article, we will attempt to build on our current understanding of the future of work and to identify potential challenges that could arise for different demographic groups. Dropbox was the first major digitized company to announce a remote-first work environment for all of its employees.

Fusing business and technology strategies to cocreate value


As technology becomes the catalyst for business strategy and transformation, the lines between business and technology functions are blurring and the expectations of IT are shifting, leading many organizations to reimagine the role of technology and rethink traditional operating models and organizational structures. This CIO Insider presents a new way for unifying business and technology objectives to help enable business and technology functions to more effectively collaborate, innovate, and cocreate new sources of value. As the pace, scale, and impact of technological innovation and disruption have exponentially escalated, technology has become a primary influence on business strategy, strategic choices, and value-creation models. Harnessing and managing these five forces--one of today's most pressing business issues--can be incompatible with IT's traditional role of ensuring operational excellence and executing technology-enabled business objectives. Historically, business and technology functions were separate, which often reduced cross-functional collaboration and led to siloed execution, delayed projects, and inflexible processes. Businesses often defined strategic objectives and developed separate supporting technology strategies.

How Security Systems are Implementing AI and ML for Threat Detection


A recent study showed that over 90% of security operating centres are now implementing or considering the use of AI and machine learning to detect and defend against digital threats. What is the traditional method for threat detection, what has AI and ML allowed, and how is the hardware world reacting to threats? Since their introduction, computers have played a key role in modern life, providing services such as internet access, online banking, message exchange, and remote work. However, the transmission of sensitive information along with the processing capabilities of any single computer has also resulted in the development of malware by cybercriminals. These programs fall under several categories, including viruses, trojans, and worms, all of which perform different tasks. Of these, their exact function can be separated further; some malware works to destroy a system while others may steal sensitive information.

New Artificial Intelligence Priorities in the COVID-19 Era


The COVID19 outbreak has changed the world faster than anyone could have imagined. Forced isolation has shifted meetings and activities to go on through web collaboration tools. Arguably most importantly, the virus has ground the entire economy to a halt. For some industries (travel, retail, food services, fitness), unemployment is already rampant, and for more remote-friendly industries (tech, media), work may go on, but sales are slowed or frozen, and receivables less likely to convert to revenue than ever. The downsides of the virus are easy to see – but business and public sector leaders are forced to think about the silver lining.

Royal Navy and US Navy evolve joint AI and ML work


The Royal Navy and the US Navy are working on ways to establish links between their digital delivery teams, test methods for international collaboration and develop deeper technical collaboration around artificial intelligence (AI) and machine learning (ML). The work, which started in August 2020, is part of a wider initiative to establish better technology cooperations between the US and the UK. It follows a mandate from senior leaders in digital and AI at both organisations, with the objective to "aggressively explore, develop and demonstrate" how the two countries make applications work together in an interoperable way, and how they can interchangeably use each other's technology. A shared long-term vision is that US-UK development squadrons will be created, to develop AI and ML to support fleet operations centres to tactical-level units, and interoperability with joint service partners. Under that mandate, a collaboration plan was devised by Royal Navy Digital Services and the US Navy to look at specific pieces of technology and the methods the organisations use to research, design and build software.