The first time that Terry Vandenbos watched a bear run from a drone, on a spring day two years ago, he was chasing the animal himself. After he saw the grizzly cross a road near his property, the Montana rancher hopped on his all-terrain vehicle, planning to scare it away from his cattle if needed. But the bear began sprinting away when he was still far from it, looking over its shoulder as it ran, and Vandenbos looked up too; overhead, a small drone was following the bear, its four propellers emitting a high-pitched whine as it sent the animal towards a nearby lake. "I don't think I need to be here," Vandenbos remembers thinking. The bear never touched his cows.

In a collaboration with Airbus, Ibeo tested autonomous driving under special safety requirements on an airport tarmac. Ibeo Automotive Systems GmbH, a global provider of LiDAR sensors, has filed for insolvency and the Hamburg insolvency court has granted insolvency proceedings in self-administration. The company is continuing operations in all divisions in Hamburg, Germany, Eindhoven, Netherlands, and Detroit, Michigan at full capacity. Ibeo's management remains fully in charge of operations during the company's self-administration. Currently, its management team is examining restructuring options for the company and leading the search for a new investor.

Thomas Lim is a public service coach with Thrive Consulting and the dean of Thrive Academy. Many companies today have embraced digital as part of their work and digitalization, and it is a priority on management's agenda. Yet, with the rapid advancement in technology, the level of innovation is at a frenzied rate and growing exponentially. Technology development in the Internet of Things that enables everyday objects to be connected, sensor technologies, artificial intelligence and machine learning have added to the confluence of technologies. Together with blockchain, high-speed mobile, virtual worlds and augmented reality, these have the potential to create unprecedented digital maelstroms.

The chief executive of Tinder has left the dating app after less than a year after the market value of its parent company plunged by more than a fifth following reporting disappointing results. The departure of Renate Nyborg was one of a number of management changes announced by the $20bn Match Group, which owns dating brands including Hinge, Tinder and Match.com. Its share price plunged by more than 20% on Tuesday after missing Wall Street second-quarter expectations and issuing weaker-than-expected guidance. "Today we are announcing the departure of Tinder chief executive Renate Nyborg, and I have made some changes to the management team and structure that I am confident will help deliver Tinder's full potential," said Bernard Kim, the chief executive of Match Group, in a letter to shareholders. "We have not been able to realise the monetisation successes that we typically deliver. Tinder's current revenue growth expectations for the second half of the year are below our original expectations as a result of disappointing execution on several optimisations and new product initiatives."

In this blog post, I touch on topics I will cover in depth in Win the War for AI Talent, currently scheduled for publication on June 27, 2022. Most large enterprises begin their AI transformation by hiring a few data scientists to build prototype models. The AI leaders quickly realize they need to make many other foundational changes to realize the company's AI vision. The big, obvious changes might be building an MLOps infrastructure and creating a new ML governance model. On top of those changes, they also need to handle the million little details and challenges that surface every day.

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Our team members use technical skills from the whole spectrum of data science: building analytical tools; informing decision making at all levels of the business via bespoke and automated analysis; running experiments; performing causal analysis; informing planning and prioritisation with robust impact estimates; building production machine learning and optimisation models; and upskilling the entire company in data literacy and data driven decision making. Data scientists at Deliveroo report into our data science management team, and we have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.

Instead of relying on data-driven signals of past accomplishments, Eightfold.ai is using AI to ... [ ] discover the innate capabilities of people and matching them to new opportunities in their own companies. Since its founding in 2016, Eightfold.ai's Talent Intelligence Platform continues to see rapid global growth, attracting customers across four continents and 25 countries, supporting 15 languages with users in 110 countries. Their Talent Intelligence Platform is built to assist enterprises with Talent Acquisition and Management holistically. Instead of relying on data-driven signals of past accomplishments, Eightfold.ai is using AI to discover the innate capabilities of people and matching them to new opportunities in their own companies.

We are looking for an Analyst/Associate, Machine Learning Engineer to join the Portfolio Value Creation (PVC) team during an exciting period of transformative change and growth. PVC partners with global Investment Groups across a portfolio of c. 80 assets and works out of offices in Toronto, London, Hong Kong, New York and San Francisco. PVC consists of c. 35 experienced professionals with investment, consulting and corporate backgrounds, operating across the portfolio and throughout asset lifecycles. PVC is responsible for driving value creation across CPP Investments' global portfolio of material direct equity investments. The team is active across the entire asset lifecycle with selective pre-deal and consistent post-deal involvement.

The bid management process is time-consuming, intense, and tedious. With that said, it is also imperative to the longevity of your business and key part of every successful B2B organization. Bid management teams can manage this process, but we know it is not always easy, and solutions exist to automate the most labor-intensive parts of the journey. AI-driven information insight provides the intelligence businesses need to assist their bid management teams and win more contracts for their company. A buyer lists a request, companies get notified, bid teams plan and prepare, bid writers compose and submit tender responses, the buyer evaluates the answers, and finally, the buyer awards the tender.

Products developed to manage artificial intelligence data are still largely fragmented, solving one problem at a time for developers, but not the entire life cycle. Enter Sama, a company providing high-quality training data that powers AI technology applications. CEO Wendy Gonzalez said the company is developing the first end-to-end AI tool for training data through machine learning. To do this, the company secured an oversubscribed $70 million in Series B financing led by Caisse de dépôt et placement du Québec (CDPQ), with participation from First Ascent Ventures, Salesforce Ventures, Vistara Growth and all existing investors. The new capital infusion comes two years after the company raised $14.8 million in a Series A round.