A new cognitive era: The rise of machine intelligence


Posted by Rajeev Ronanki July 13, 2017

Artificial intelligence (AI) has long been the technology of the future – and the future is fast approaching. As AI matures to become an imminent force of change, in its shadows, machine intelligence (MI) is already enabling organizations to quickly reap the benefits of emulated human intelligence through targeted applications. MI and AI aren’t so different – where AI broadly tries to emulate general human reasoning, MI specializes in the applying human logic and reasoning to specific tasks and processes. Deloitte’s eighth Tech Trends report reveals that machine intelligence (MI) is a trend to watch in 2017. MI will likely become omnipresent as three primary forces converge – the same factors paving the way for ubiquitous AI:

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Five ways analytics technologies are revolutionizing health care


Posted by Nitin Mittal and Michael Brooks on June 30, 2017

We have grown comfortable with the automation of daily functions such as booking flights, online shopping, and moving funds between bank accounts. But the newest generation of technology offers much more. By enhancing human thoughts and actions, cutting-edge analytics capabilities are forward looking and prescriptive, enabling a technological revolution that impacts many areas of the health care industry.

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Effectively merging digital and physical worlds. It’s not a galaxy far, far away


Posted by Ashwin Patil on June 22, 2017

Things are just starting to pop in the world of manufacturing, aren’t they? Digitization and connectivity are forging the way ahead. Advanced manufacturing techniques combined with the Internet of Things are creating a digital manufacturing enterprise that communicates, analyzes and uses information to drive intelligent action back in the physical world. Supply chains are shifting from linear, sequential operations to an always-on, interconnected, open system of supply operations called a digital supply network (DSN), and traditional silos are breaking down. Continue reading “Effectively merging digital and physical worlds. It’s not a galaxy far, far away”

Managing change to accommodate the craft-like experience


Posted by Ben Stiller on June 16, 2017

It’s hard to remember life before products showed up on your doorstep, in record time. We’ve become used to ordering whatever we need online and having it delivered within a day or two – perhaps a week at the most. Consumers now tend to expect this timeliness from all online retailers. They’ve also become more demanding in the colors, flavors and sizes they want, expecting customization as a matter of course.

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How supply chains reach the potential of Industry 4.0


Posted by Ashwin Patil on June 1, 2017

You’ve likely heard about Industry 4.0, the fourth industrial revolution, in which new technologies are blurring the lines between physical and digital worlds and opening real time access to unprecedented data sources. This revolution will likely change the way products are conceived, designed, produced, priced and delivered to customers and likely transform today’s linear supply chains into dynamic digital supply networks.

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Supply chain digital transformation: 3 vital insights for CSCOs and COOs

Posted by Ryan Renner on May 26, 2017

Conversations about the digital transformation of supply chains tend to revolve around the exciting capabilities of this or that technology–analytics, robotics, cognitive computing, and others. But important questions are often left unanswered: What does digital transformation mean to me as a chief supply chain officer (CSCO) or chief operating officer (COO)? What does a digitally transformed supply chain look like? How will digital transformation impact my role within the organization?

Here are three insights from a recent Deloitte point of view that can help you answer those questions:

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Who determines ethics in a machine-run world?

A case for “Society in the loop artificial intelligence”


Posted by Jim Guszcza on May 19, 2017

As automation and robotics fueled by artificial intelligence (AI) become more mainstream, many areas of industry are set to undergo revolutionary changes. New sorts of jobs will likely emerge, some existing jobs will likely undergo transformation, and others may go away. There is good reason for concern about societal disruption, and a pressing need for enlightened societal-level dialogue. But we should not lose sight of the bright side to the creation of machines capable of helping with laborious “spade work.” AI has the potential to create significant value by making us more efficient, extending our intelligence and decision-making capabilities, saving organizations money, and generally helping societies run more smoothly.

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In financial services, data science may be a promising investment


Posted by John Houston on May 12, 2017

In the financial services arena, data scientists are taking a seat next to traditional business analysts, tasked with finding value in an ever-expanding quantity of data. By delivering smarter insights using analytics and cognitive technologies, data scientists help address problems in investing and trading strategies, portfolio management, regulatory reporting, client service, and more.

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Transformative analytics: Three steps toward an insight-driven advantage


Posted by Nitin Mittal on May 5, 2017

How can hospitals reduce insurance company reimbursement denials that cut into their revenue? How can fleet operators leverage enormous data sets soon to be generated by vehicle-embedded sensors? How does an oil company optimize wellhead operations on an offshore rig? Transformative analytics could hold answers to these and many other outcome-focused questions.

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