Collaborating Authors


How AI Can Stop Zero-Day Ransomware


Over the past year, the sheer number of ransomware attacks have increased dramatically, with organizations of all stripes being affected: government entities, educational institutions, healthcare facilities, retailers, and even agricultural groups. While the bulk of the media attention has been on critical infrastructure and large organizations, attackers are not limiting themselves to just those types of victims. "That's really just the tip of the iceberg," says Max Heinemeyer, director of threat hunting at Darktrace. "We see not just big names being hit. It's basically any company where adversaries think they can pay the ransom. Anybody who's got money and running some kind of digital business is basically in the crosshairs."

Ignore the AI hype, focus on the value


It should be obvious to anyone in the technology field that artificial intelligence is being hyped to unrealistic expectations at the moment. But this makes it no different from any other technology that society has generated through the ages -- from the cloud to virtualization to the service oriented architecture (remember that?), and all the way back to the personal computer. There are probably old newspaper clippings touting the ability of steam engines to create flying machines and rockets to the moon. While much of hype is wishful thinking, sometimes there is a bit of truth to it. Past technologies have certainly reshaped the world, although not necessarily in ways that early boosters had envisioned.

10 Code-less Artificial Intelligence projects in 10 Days


Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master's of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada.

Content creators versus artificial intelligence -- Cyberly


Many creatives have felt rather safe from the robotic takeover that has already touched so many other industries. But with new artificial intelligence tools creeping their way into the creative arts market, it may soon be difficult to tell the difference between humans and robots when it comes to audio creation, video production or writing. Blythe Brumleve talks to Lindsay Watt of Parade.AI and Ayman Husain, director of customer success at Microsoft, about their goals to help the freight industry tackle these complex cloud, computing and capacity challenges and if AI could spell trouble for keeping information factual. Brumleve also reveals her research about the logistics behind the National Football League and what it takes to put on games for millions of fans every week. You can find more Cyberly episodes and recaps for all our live podcasts here.

The 2021 machine learning, AI, and data landscape


Just when you thought it couldn't grow any more explosively, the data/AI landscape just did: the rapid pace of company creation, exciting new product and project launches, a deluge of VC financings, unicorn creation, IPOs, etc. It has also been a year of multiple threads and stories intertwining. One story has been the maturation of the ecosystem, with market leaders reaching large scale and ramping up their ambitions for global market domination, in particular through increasingly broad product offerings. Some of those companies, such as Snowflake, have been thriving in public markets (see our MAD Public Company Index), and a number of others (Databricks, Dataiku, DataRobot, etc.) have raised very large (or in the case of Databricks, gigantic) rounds at multi-billion valuations and are knocking on the IPO door (see our Emerging MAD company Index). But at the other end of the spectrum, this year has also seen the rapid emergence of a whole new generation of data and ML startups. Whether they were founded a few years or a few months ago, many experienced a growth spurt in the past year or so. Part of it is due to a rabid VC funding environment and part of it, more fundamentally, is due to inflection points in the market. In the past year, there's been less headline-grabbing discussion of futuristic applications of AI (self-driving vehicles, etc.), and a bit less AI hype as a result. Regardless, data and ML/AI-driven application companies have continued to thrive, particularly those focused on enterprise use trend cases. Meanwhile, a lot of the action has been happening behind the scenes on the data and ML infrastructure side, with entirely new categories (data observability, reverse ETL, metrics stores, etc.) appearing or drastically accelerating. To keep track of this evolution, this is our eighth annual landscape and "state of the union" of the data and AI ecosystem -- coauthored this year with my FirstMark colleague John Wu. (For anyone interested, here are the prior versions: 2012, 2014, 2016, 2017, 2018, 2019: Part I and Part II, and 2020.) For those who have remarked over the years how insanely busy the chart is, you'll love our new acronym: Machine learning, Artificial intelligence, and Data (MAD) -- this is now officially the MAD landscape! We've learned over the years that those posts are read by a broad group of people, so we have tried to provide a little bit for everyone -- a macro view that will hopefully be interesting and approachable to most, and then a slightly more granular overview of trends in data infrastructure and ML/AI for people with a deeper familiarity with the industry. Let's start with a high-level view of the market. As the number of companies in the space keeps increasing every year, the inevitable questions are: Why is this happening? How long can it keep going?

Use AI to Measure Emissions--Exhaustively, Accurately, and Frequently


According to our new global survey, 85% of organizations are concerned about reducing their greenhouse gas emissions, and 96% have set targets for reducing emissions in at least one scope. Yet only 11% have cut their emissions in line with their ambitions over the past five years. What is standing in their way? Artificial intelligence has become a powerful tool in the quest toward carbon neutrality. Charlotte Degot, a BCG & BCG GAMMA managing director and partner, explains how AI makes it possible for corporations to set meaningful climate targets, track progress, and reduce pollution.

Eastern Washington's Eric Barriere puts up video game numbers in dominating victory over Idaho

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Eastern Washington quarterback Eric Barriere put up a mind-blowing stat line in the Eagles' 71-21 win over Idaho on Saturday. Eastern Washington got out to a hot start, outscoring Idaho 29-7 in the first quarter and then taking a 43-14 lead into the half. The Eagles were well on their way to victory and it helped that Barriere was playing out of his mind.

Could Artificial Intelligence Prevent Future Wars? - AI Summary


A combination of situational complexity, intractable positions of opposing sides and escalating costs is driving the search for AI-based approaches that could replace humans in resolving legal cases, international disputes and military conflicts. Master of the Rolls and head of civil litigation in England and Wales, Sir Geoffrey Vos, has talked for some time about AI's potential to propose resolutions for humans to ratify. The goal of AI is to develop computer algorithms that replicate the way humans think when processing language, solving problems and analyzing large amounts of data to extract relevant information. The nation is reportedly investing over $400 billion to develop leadership in AI across all domains, and the legal sector is seen as an area where massive efficiencies and financial savings could be achieved by automating significant parts of the judicial process. The third suggested contribution of AI lies in "creating greater inclusivity of mediation processes" -- pulling in the views of a wider cross-section of the affected populations, geographic neighbors of the opposing factions and independent institutions that may have previously played peacekeeping and monitoring roles.

Top 22 Best AI, Machine Learning and Deep Learning Books of All Time - New World : Artificial Intelligence


To Be a Machine: Adventures Among Cyborgs, Utopians, Hackers, and the Futurists Solving the Modest Problem of Death (Mark O'Connell). "Flesh is a dead format," writes Mark O'Connell in To Be a Machine, his new nonfiction book about the contemporary transhumanist movement. It's an alarming statement, but don't kill the messenger: As he's eager to explain early in the book, the author is not a transhumanist himself. Instead, he's used To Be a Machine as a vehicle to dive into this loosely knit movement, which he sums up as "a rebellion against human existence as it has been given." In other words, transhumanists believe that technology -- specifically, a direct interface between humans and machines -- is the only way our species can progress from its current, far-than-ideal state.

The Results are In: AI is Key to Building and Maintaining Customer Engagement


The following post was written and/or published as a collaboration between Benzinga's in-house sponsored content team and a financial partner of Benzinga. Today's consumer companies and business-to-business (B2B) firms are finding themselves in a fast-paced, competitive race to attract and secure new clients. One approach that's increasingly gaining popularity is customer engagement. Customer engagement entails prioritizing long-term relationships with consumers and B2B clients. It's about working to develop and maintain relationships throughout multiple interactions and across various channels. The research suggests profound benefits for companies that invest in customer engagement solutions.