Where does your enterprise stand on the AI adoption curve? Take our AI survey to find out. In this era of evolving technology, organizations must be highly adaptive to succeed. A Statistics report reveals that before the pandemic over 4.7 million people in the U.S. were working remotely at least half the time -- a percentage that has since increased. And fully 75% of people using digital channels for the first time indicate that they'll continue to use them when things return to a post-pandemic "normal."

Welcome back to Mixtape, the TechCrunch podcast that examines diversity, inclusion and the human labor that drives tech. This week, Megan moderated a panel at Sight Tech Global, a conference dedicated to fostering discussion among technology pioneers on how advances in AI and related technologies will alter the landscape of assistive technology. The panel featured three heavy hitters in the accessibility space: Haben Girma (pictured above), the first deafblind person to graduate from Harvard Law School and who is a human rights lawyer advancing disability justice; Lainey Feingold, a disability rights lawyer who was on the team that negotiated the first web accessibility agreement in the U.S. in 2000; and George Kerscher, the chief innovations officer for the DAISY Consortium. Among the topics they discussed were communicating via Zoom and other video platforms in the days of COVID, how tech companies have adhered to the Americans with Disabilities Act, and the need for a culture shift if we're going to realize any significant change. "It's all about a culture change to really make sure technology is accessible for everyone," Feingold told Megan. "And you can't get a culture change, I don't believe, by hammering people.

Technology has proven to be a critical element of Ireland's healthcare sector in recent months. As the Covid-19 virus threat spread, healthcare professionals faced the unprecedented challenge of meeting the needs of those infected while also, where possible, maintaining distancing guidelines. There was also a need to continue to meet the healthcare needs of those with non-Covid related health challenges - often people requiring urgent or emergency care as well as those with long-term chronic illnesses. What we have seen, and applauded, over the past four months is the bravery and commitment of those working across the Irish healthcare system and, indeed, the world. These frontline workers never shied away from doing what was needed, and we thank them for that.

Account-based selling is experiencing a surge in popularity in B2B sales due to changes in technology that have appeared over the past few years. One of those technologies is what is referred to as "relationship intelligence." In this conversation, Jaxson Khan describes how marketing can leverage relationship intelligence to more effectively collaborate with sales and how managers can use relationship intelligence to enable customer success across the board. Relationship intelligence is one of the new technologies that is changing the way sales is done – and it provides huge benefits for every sales role throughout an organization. Jaxson Khan is Head of Marketing at Nudge.ai, a relationship intelligence platform.

The rapid pace of digital business evolution means that organizations must be continuously adapting their business and operating models. Canadian organizations are pursuing business model change, but there is still more to do. Twenty-two percent of Canadian CIOs say that no business model change is anticipated. But for most organizations, some degree of change is required to accomplish their business priorities. "If you pursue the right strategy and quickly adapt to what's next, you will be ready to deal with sustained and rapid change. This builds momentum through and beyond digital transformation using the approach we call ContinuousNext," said Chris Howard.

Welcome to our HR Modernization Playbook: Tomorrow's people – Why HR matters more than ever in the age of artificial intelligence. Digital transformation is happening faster than ever. The adoption of artificial intelligence (AI) and automation will redefine jobs, enhance employee productivity and accelerate workforce development. In fact, skills and culture – not technology – are the biggest barriers to business growth in the AI era. This means CEOs are looking to their CHRO to lead culture change, manage talent and drive down costs.

For Wärtsilä, a Finnish headquartered firm that employs around 18,000 workers and which manufactures and services power sources and other equipment in the marine and energy markets, digital business transformation is a very practical thing. In fact, back in December 2016, Marco claimed that Wärtsilä was "embarking on one of the boldest, innovative and most exciting digital transformation programmes in the industrial, marine and energy sectors." The company is not the most famous of firms, unless you work in the marine or renewable energy business, you may have never heard of it, but in fact, roughly one in two marine vessels in the world are either serviced, powered, navigated or propelled by Wartsila's technology. But what about today, how is the digital business transformation programme performing? "One of the things we've now decided to do is create a sort of digital boot camp, a digital academy, with a leadership programme on what it means to lead in a digitally-enabled business. Marco Ryan, a veteran in digital business transformation, likens this process to a digital onion, and compares the old way of doing things to the Parthenon. "At Wärtsilä, we had over 300 ideas submitted by colleagues in the last 18 months, of which about 50 or 60 have actually come into our incubation centres.

This article is a post in a series on bringing continuous integration and deployment (CI/CD) practices to machine learning. Check back to The New Stack for future installments. With orchestration and monitoring playing such key roles in DevOps, the emerging trend of using artificial intelligence (AI) to support and even automate operations roles by delivering real-time insights about what's happening in your infrastructure seems an obvious fit. DevOps is about improving agility and flexibility; AIOps should be able to help by automating the path from development to production, predicting the effect of deployment on production and automatically responding to changes in how the production environment is performing. That's especially true as trends like microservices, hybrid cloud, edge computing and IoT increase the complexity of app infrastructures -- and the number of logs that you might have to look at to find the root cause of an issue, and the number of people who need to be in a conference call or chat room tracking down what's gone wrong and how to fix it.