The current whirlwind of disruptions buffeting the automotive world have created a massive value-chain disconnect. When viewed through the lens of tomorrow's product requirements, one thing becomes clear: you can't easily get there from here. McKinsey has identified four major disruptions facing the industry today (Exhibit 1). Collectively known as "ACES"--for autonomous vehicles, connected cars, electrification, and shared mobility--these trends will ultimately drive a change in the way the automotive industry develops cars (see sidebar "ACES: The four trends shaping tomorrow's cars" for more detail). We believe tomorrow's cars will be autonomous, connected, electrified, and shared (ACES). They will be fully autonomous, with no driver.

Technology is changing almost everything about the world we live in. It's also changing how we work. These 10 industry analysts have smart ideas about the future of work to share. Following their conversations can help you plan for what's next. Meghan M. Biro is the founder and CEO of TalentCulture, a publication that explores how the workplace is changing.

San Francisco (CNN)College career centers used to prepare students for job interviews by helping them learn how to dress appropriately or write a standout cover letter. These days, they're also trying to brace students for a stark new reality: They may be vetted for jobs in part by artificial intelligence. What worries me about AI is AI can't tell the heart of a person and the drive a person has. "Once I understood the AI interview process, I definitely started thinking about it as a game and how I could optimize for certain qualities or gestures."

DataVisor, the leading fraud detection company with solutions powered by transformational AI technology, announced the availability of dEdge, an anti-fraud solution that detects malicious devices in real-time, empowering organizations to uncover known and unknown attacks early, and take action with confidence. "Most consumer-facing organizations today provide their customers opportunities to interact with the business through an online channel. Even traditional industries like banking enable customers to bank through mobile applications. To validate the authenticity of this interaction, data needs to be collected and analyzed at the source" With growing adoption of mobile devices and the emergence of the always-on economy, by many measures, when organizations realize that they have been subject to a cyber-attack, it is already too late. Modern fraud detection and prevention require a transformational approach, one that represents a shift back to an earlier point along the timeline of a fraud attack.

Facebook AI Research (FAIR) today said it's open-sourcing wav2letter@anywhere, a deep learning-based inference framework that achieves fast performance for online automatic speech recognition in cloud or embedded edge environments. Wav2letter@anywhere is based on neural net-based language models wav2letter and wav2letter, which upon its release in December 2018, FAIR called the fastest open source speech recognition system available. Automatic speech recognition, or ASR, is used to turn audio of spoken words into text, then infer the speaker's intent in order to carry out a task. An API available on GitHub though the wav2letter repository is built to support concurrent audio streams and popular kinds of deep learning speech recognition models like convolutional neural networks (CNN) or recurrent neural networks (RNN) in order to deliver scale necessary for online ASR. Wav2letter@anywhere achieves better word error rate performance than two baseline models made from bidirectional LSTM RNNs, according to a paper released last week by eight FAIR researchers from labs in New York City and at company headquarters in Menlo Park.

US politicians expressed concerns about the accuracy and growing use of facial recognition software, at a hearing on Wednesday. The technology is being developed by firms including Amazon and Microsoft and increasingly used by law enforcement worldwide. Civil liberties and privacy groups have raised concerns about how the data for these programs is being gathered. "This is some real-life Black Mirror stuff that we're seeing here," said New York congresswoman Alexandria Ocasio-Cortez, a reference to a science-fiction TV show that explores the dark side of technology. US lawmakers are working on a proposal for a bill to limit the use of facial recognition.

Zinier, the leader in intelligent field service automation, announced that it has raised $90 million in Series C funding to transform field service workforces with AI-driven automation. New investor ICONIQ Capital led the round with new participation from Tiger Global Management, and return investors Accel, Founders Fund, Nokia-backed NGP Capital, France-based Newfund Capital and Qualcomm Ventures LLC. The funding will support global customer adoption and expansion of Zinier's AI-driven field service automation platform, ISAC. In the past year, more than $100 million was invested in Zinier to transform the way field service work gets done. From the electricity that lights up homes to wireless connectivity that enables communication around the world, it's expected that these services work on demand.

The public's trust of governmental budgeting, fiscal management, and reporting is at an all-time low, especially in the aftermath of the 2008 financial crisis, where only four out of ten people in OECD countries expressed confidence in their government. Cases of fraud, bid-rigging, and pay-to-play are never far from the headlines, and have continued to undermine trust in the public servants and elected officials tasked to oversee the complex work of managing government finances. A large portion of this mistrust can be attributed to the struggle that government finance managers and auditors are facing in analyzing the increasing amount of financial data. Current financial control and audit techniques, including legislated audit requirements, are not able to scale to keep pace with the massive data explosion coming from their own accounting, payroll, and expense management systems. One government response to this issue, open data, enables a sense of fiscal transparency with the public but it doesn't replace the rigorous professional analysis required to identify fraud, errors, and omissions in large amounts of data.

Sidetrade, the Artificial Intelligent platform dedicated to accelerating company revenue, and Solocal, the French digital marketing leader, have signed a four-year partnership agreement in the field of Artificial Intelligence (AI). Sidetrade's machine learning algorithms will allow Solocalto digitalize and automate financial relations with their 399,000 clients,and optimize debt collection.Using AIto boost operating efficiency Launched in 2017, Solocal's transformation project named Solocal 2020 represents a new ambition: become a champion of digital in France. "To achieve this transformation, our priority was to invest in operational projects with high added value, based on structured, optimized and automated processes, and a client-driven approach", explains Eric Boustouller, CEO of Solocal. "With this partnership, our Finance Department shows their determination to make full use of today's latest technologies, especially in the field of Artificial Intelligence. Given how essential it is to effectively manage financial relations with clients, we must boost the operational efficiency of our teams, who have immense volumes of data to manage. It is in this context that we have chosen Sidetrade to support us with this transformation."

Sidetrade, the Artificial Intelligent platform dedicated to accelerating company revenue, and Solocal, the French digital marketing leader, have signed a four-year partnership agreement in the field of Artificial Intelligence (AI). Sidetrade's machine learning algorithms will allow Solocalto digitalize and automate financial relations with their 399,000 clients,and optimize debt collection.Using AIto boost operating efficiency Launched in 2017, Solocal's transformation project named Solocal 2020 represents a new ambition: become a champion of digital in France. "To achieve this transformation, our priority was to invest in operational projects with high added value, based on structured, optimized and automated processes, and a client-driven approach", explains Eric Boustouller, CEO of Solocal. "With this partnership, our Finance Department shows their determination to make full use of today's latest technologies, especially in the field of Artificial Intelligence. Given how essential it is to effectively manage financial relations with clients, we must boost the operational efficiency of our teams, who have immense volumes of data to manage. It is in this context that we have chosen Sidetrade to support us with this transformation."