Old cloud edge workload resource management is too reactive. The problem with relying on static thresholds is that we are either overspending for more resources than needed or have reduced performance because of their lack. This is why we work on proactive solutions. A framework developed for it stops reacting to the problems but starts expecting them. We design a hybrid architecture, combining two powerful tools: the CNN LSTM model for time series forecasting and an orchestrator based on multi agent Deep Reinforcement Learning In fact the novelty is in how we combine them as we embed the predictive forecast from the CNN LSTM directly into the DRL agent state space. That is what makes the AI manager smarter it sees the future, which allows it to make better decisions about a long term plan for where to run tasks That means finding that sweet spot between how much money is saved while keeping the system healthy and apps fast for users That is we have given it eyes in order to see down the road so that it does not have to lurch from one problem to another it finds a smooth path forward Our tests show our system easily beats the old methods It is great at solving tough problems like making complex decisions and juggling multiple goals at once like being cheap fast and reliable

Your business's use of AI is only going to increase, and that's a good thing. Digitalization allows businesses to operate at an atomic level and make millions of decisions each day about a single customer, product, supplier, asset, or transaction. But these decisions cannot be made by humans working in a spreadsheet. We call these granular, AI-powered decisions "micro-decisions" (borrowed from Taylor and Raden's "Smart Enough Systems"). They require a complete paradigm shift, a move from making decisions to making "decisions about decisions."

A KRM-based dialogue management (DM) is proposed using to implement human-computer dialogue system in complex scenarios. KRM-based DM has a well description ability and it can ensure the logic of the dialogue process. Then a complex application scenario in the Internet of Things (IOT) industry and a dialogue system implemented based on the KRM-based DM will be introduced, where the system allows enterprise customers to customize topics and adapts corresponding topics in the interaction process with users. The experimental results show that the system can complete the interactive tasks well, and can effectively solve the problems of topic switching, information inheritance between topics, change of dominance.

There's a new drinking game that is sweeping across after-work corporate watering holes. Everyone takes turns guessing how long it will be until their job is automated out of existence. After every guess, everyone drinks. There is a steady drumbeat of news and analysis that predict a certain demise of much of modern work. You could even put my last CIO article, "The'future of work' in the digital era may not be what you think," in that category. These predictions have left many rank-and-file corporate workers trying to sort out what's really happening and what to do next.

I think it has become a cliché now that "digital transformation leads to new business models". In reality, new business models are hard to come by, and even if you chance upon something new and compelling, it is extremely difficult to protect your innovative idea because competitors have become more adept at responding to such innovations quickly. Companies are therefore on the lookout for new forms of competitive advantage that are enduring, sustainable, hard to copy and valuable. Most businesses derive their business model following Peter Drucker's "theory of the business": the organisation's positioning with respect to the environment (market, governments, society), the organisation's mission with respect to deliver something valuable and relevant to the environment, and the capabilities needed to not only accomplish the organisation's mission but also to establish sustainable business growth over a long period of time. Having an idea about these aspects of business model is a good starting point, and for sure, will give you the answers to the "what?" and the "why?" of your business.