Business Processes Are Learning to Hack Themselves

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The factory floor is a marvel of automation. With a press of a button, the whole place can seem to run itself. But although today's factories use automated workflows, process change is still mostly manual. When demands arise in an industrial environment, managers and engineers must interrupt the automation to update the processes that make the machines go. Now, thanks to machine learning algorithms, it's becoming possible for smart software to scrutinize data from a variety of sources -- sensors on machines or changes in supply chains, for instance -- and redesign processes in real time.


AI and its Quest to Help Retailers

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Artificial intelligence can be an important tool for collecting as well as interpreting business related data. Currently around 45 companies specialize in AI for functions such as recommendations, search, multichannel marketing, merchandising, and conversational commerce. Nothing works better for accumulating and making sense of all the data than machine learning, or AI. When automating aspects of a retail business, AI is able to provide an intelligent as well as a speedy solution, including self-adapting algorithms which can show a company's patterns of behavior which would otherwise be hidden from humans reading the data on their own. From there you have a starting point for predicting patterns of behavior and interaction which drive the most customer interaction, or purchasing.


Top 5 growing trends in AI applications to watch out for in 2019

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Artificial intelligence, deep learning and machine learning technologies have made significant breakthroughs over the past couple of years and ushered in new trends in intelligent applications. Here is a look at five major areas where AI is bound to make an impact in 2019 and beyond. Many companies already acknowledge the value of implementing AI business strategies. To a business, this includes smart data collection and analysis to guide business decisions in marketing, sales, product development and resource management. AI data analysis require intensive computation on large blocks of data; several software vendors offer cloud-based Software-as-a-Service (SaaS) to make AI analysis more accessible to businesses before off-the-shelf and bespoke services go mainstream.


Process Reimagined

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Companies across sectors and regions are seeing an initial boost in process speed and performance from machine learning (ML). SMART MACHINES ARE REINVENTING HOW WORK IS DONE 3. To maximize the potential of AI, digital leaders must create self-adapting, self-optimizing "living processes" that use machine learning algorithms and real-time data to continuously improve. The ability for machines to act as agents of process change will unlock new roles and ways for humans and machines to work together. THE NEXT ERA OF AI IS HERE NOW… Copyright 2018 Accenture. At Accenture, we call this PROCESS REIMAGINED Copyright 2018 Accenture.


New Research Shows A Big Spike In Intent To Deploy Machine Learning In Finance

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Smart machines are here to stay. Not to replace finance executives, but to make their processes more intelligent. In fact, artificial intelligence (AI) is blazing one of the fastest adoption curves of any new technology since the World Wide Web in the mid-1990s.