This video is a powerful example of how autonomous systems can be aligned to intelligently perform routine tasks. Toyota Material Handling partnered with Microsoft using AirSim (an open source simulation platform originally developed to teach drones or robots to learn in high fidelity simulated environments) to train a forklift on tasks like picking up a pallet. This video illustrates the vision for a future warehouse with pre-trained, intelligent forklifts assisting people in everyday activities.
Good news for companies revamping DevOps: according to Forbes, “Happier developers work harder, collaborate more, and are better for business.” Citing an Oxford study, Forbes said that survey respondents revealed strong ties between job satisfaction and well-established, cohesive DevOps practices. Microsoft DevOps with GitHub is built for greater collaboration, control, flexibility, and security—a recipe for happiness. Read the article here and learn how investing in DevOps is investing in your organization’s future.
This video shows how you can pull together a team with Microsoft Teams on your PC, Mac, or mobile device. Use chat instead of email, securely edit files at the same time, see your likes, mentions, and replies with just a single tap, and have the freedom to customize it all by adding notes, websites, and apps.
The business world is rapidly changing. It is estimated that AI will add $13 trillion to the global economy over the next decade-and yet from thousands of executives surveyed, only 8% of firms are adopting core practices that fully support implementation. Businesses arrive at progress slowly, reflecting a failure to rewire within the organization. This article from Harvard Business Review demonstrates how companies can make a successful shift to utilizing AI and setting themselves up for success.
Bring the future into your business today with AI. Explore two types: Pre-Built and Custom Built. Pre-Built AI has cognitive services – deep learning cognitive capabilities ready to use (vision, speech, knowledge, translation, etc.), whereas Custom Built AI uses machine learning capabilities to analyze data to build and an artificial neural network to address specific problems not covered by Cognitive Services.
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