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How AI is improving warehouse performance and easing supply chain disruptions

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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Unlocking greater performance gains in warehouses using artificial intelligence (AI) and machine learning (ML) helps make supply chains more resilient and capable of bouncing back faster from disruptions. Unfortunately, the severity and frequency of supply chain disruptions are increasing, with McKinsey finding that, on average, companies experience a disruption of one to two months in duration every 3.7 years. Over a decade, the financial fallout of supply chain disruptions in the consumer goods sector can equal 30% of a year's earnings before interest, taxes, depreciation and amortization (EBITDA).


Artificial intelligence gives auto manufacturing a boost

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The auto industry has had a challenging couple of years. Demand is shifting, key components have been hard to get and workers are leaving the sector. Thankfully, AI in car manufacturing could provide a solution to all of these problems. AI has been steadily rising in manufacturing -- and after recent disruptions, it'll likely grow even faster. Here's a look at some of the ways this technology is improving auto manufacturing today and tomorrow.


the-role-of-network-evolution-in-artificial-intelligence

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Artificial Intelligence makes network evolution much more efficient than it was in the past. Between 2015 and 2019, internet connectivity has grown at a rate of around 2%. It has increased by 8% over the past two years, which is an incredible increase in connectivity. The user's expectations have changed over the past two years due to changes in their professional and personal lives. The transition from offline to online work has seen a rise in connectivity.


Digital transformation in 2022 and beyond: These are the key trends

ZDNet

At the beginning of 2022 many parts of the world were adapting to living with the Covid-19 pandemic -- which is far from over and seems to be settling into a pattern of repeated new-variant waves and a relentless build-up of Long Covid. Digital transformation projects are about driving fundamental change across customer experience, tech and business culture. This ZDNet special report brings you the latest trends and insights you need to succeed. Then, in February, the Russian invasion of Ukraine delivered another global shock, further disrupting supply chains and pushing up energy prices. For businesses, the consequent rise in inflation and threat of recession has added further pressure after a difficult two-and-a-half years.


How does the Indian Army want to use AI?

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Technology already plays a vital role in modern warfare and, with the emergence of AI, it is expected to assume an even bigger role in the future of defence. So far, the Indian Army has undertaken various projects with many more in the pipeline aimed towards the integration of AI. However, not much has materialised in terms of improvement in its capabilities in an actual battle environment. "The scope of artificial intelligence is vast. And if I did say, what we have done till now is very rudimentary or very basic of what the scope or potential of AI in the Indian Army can be", said Lt. Gen. Shantanu Dayal, Deputy Chief of Army Staff while speaking at the'Artificial Intelligence in Defence' (AIDef) event.


'Artificial intelligence in rubber value chain will be a game changer'

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The application of artificial intelligence (AI) in the rubber value chain will be a game changer in the nearest future and the sector can realise more value through predictive analytics, said Saji Gopinath, Vice-Chancellor, Kerala University of Digital Sciences, Innovation and Technology. The aggressive use of data transformation tools has resulted in new business models, facilitating new products and services that can generate greater utility and a new culture of management. Th Vice-Chancellor was speaking on'Efficient use of Artificial Intelligence and Block Chain Technology in Rubber Marketing' at the Indian Rubber Meet here during the weekend. John Baffes, Senior Agricultural Economist, Development Economics Prospects Group, World Bank, pointed out that non-energy prices are expected to rise 20 per cent in 2022, with the highest increase in commodities where Russia or Ukraine are key exporters. He further said the outlook depends on the duration of the war and the severity of disruptions to commodity flows.


Computer vision is primed for business value

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Over the past few years, computer vision applications have become ubiquitous. From phones that recognize the faces of their users, to cars that drive themselves, to satellites that track ship movements, the value of computer vision has never been clear. But hardware shortages and labor disruptions in the pandemic's wake are challenging companies' ability to make good on the promise of computer vision, even as the pandemic itself has accelerated the potential of its use cases. Following is a look at how companies across a range of industries are deploying computer vision to improve and optimize key business processes, from retail fulfillment to health-care diagnostics. Computer vision is a field of artificial intelligence that is focused on processing images and videos to extract meaningful information.


How IT Works: Internet of Things (IoT) for manufacturing

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The first step towards understanding IoT is rather easy. Thankfully, in a welcome break from acronyms and complex nomenclature, the term IoT – Internet of Things – quite literally means just that. Things connected to the internet so the data they produce (or data about them) can be accessed from anywhere. Viewed through a different lens, IoT is a result of faster and cheaper Internet connectivity trying to meet our insatiable hunger for data. The underlying technology is not a complex one - college students rig up IoT proof of concepts as projects; electronics hobbyists can buy simple IoT kits online to play with.


Transforming advanced manufacturing through Industry 4.0

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The last decade has seen companies operating under increasing levels of disruption. Quickly changing customer preferences, as well as demand uncertainty and disruptions, are challenging planning systems to unprecedented degrees. National security interests, trade barriers, and logistics disruptions are pushing businesses to find alternatives to globalized supply chains. Major swings in demand are calling for drastic operational and capital cost reduction in some areas and rapid growth in others. Physical distancing and remote work are forcing manufacturers to reconfigure manufacturing flows and management.


How AI Can Revolutionize Banking

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AI brings the potential for disruption and transformation due to its ability to make decisions and take action much quicker than its human counterparts. It has been seen as a means of increasing productivity within a company and improving revenues through better customer engagements. But the use of AI is not without pitfalls, risks and detractors. Will AI used for good or just corporate greed? How should the use of AI be regulated?