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Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
Grocery shopping has been evolving from being a fully social activity to faster purchase gathering and checkout experience with little to no interaction with the store staff. In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds. Amazon Go stores.
There’s a piece of technology that can take a part of this burden off your shoulders. The events industry is actively recovering after the painful pandemic collapse. Despite the emergence of virtual and hybrid event types, the number of both leisure and corporate in-person events is growing rapidly. What is venue management?
Besides, due to the specific nature of the industry with high-value one-off payments, a big number of businesses across the world, and rapid customer consumption of services, the travel and hospitality sector is a huge target for fraud. In 2019, the travel and hospitality industry accounted for a whopping 10.3 percent of global GDP.
By analyzing digital images and videos, these algorithms can identify objects, track movement, and even create 3D models of scenes. The short-term rentals (STR) market has been expanding rapidly in recent years, with popular vacation rental platforms like Airbnb, Booking.com, and VRBO transforming how people travel and lodge.
As coronavirus quickly spreads around the world, startups decided to take different initiatives and develop array applications and web services to help people track the virus, check for symptoms and offer advice on ways to help prevent COVID-19 and today we will see what they came up with. Startups that work on COVID-19 projects. Archangel Imaging.
The truth is that the integration of generative AI for operations requires a very different approach than the integration of traditional AI. This is evident in the sphere of R&D and operations. In recent years, AI has demonstrated concrete impact across the entire operations value chain. sourcing, maintenance, quality and regulatory, etc.).
These winds of change present an opportunity to create financial, strategic, and social value by moving from an economy where competitiveness is based solely on cost minimization to an economy based on value and innovation. The industrial sector has shown incredible resiliency and has been building back fast despite significant headwinds.
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