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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The risks and rewards of additive manufacturing: Oh, the potential, but it must have protections


Posted by Sam Pearson on April 28, 2017

Arguably the next big complement to traditional manufacturing, additive manufacturing (AM) encompasses the technologies that construct 3D objects by adding consecutive layers of material. That material can be plastic, metal, or concrete. AM technologies can create significant commercial and defense opportunities, making it possible to manufacture needed products on site, on demand, in near-real time, and in far-flung locales where parts inventory is nonexistent. Futuristic applications may include machines that can build machines and structures in which people will live and work.

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Actuaries & predictive analytics: 4 applications any business can borrow


Posted by John Houston on April 21, 2017

As big data has exploded, actuaries lead the way in using predictive modeling and data analysis to uncover insights. In fact, the very first mortality tables were a form of predictive analytics: actuaries used historical data to forecast survival rates and applied that insight to make informed choices about insurance and pensions. Today, thanks to ever more sophisticated algorithms generated by expanding computing power and artificial intelligence, predictive models can even take into account behavioral and economic factors.

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Transparency is king: How the tax compliance culture is evolving in the data analytics era


Posted by Beth Mueller on April 13, 2017

Talk about a full-court press. Tax authorities, tax fairness activists, and to some extent, a discontented public have driven tax law changes and new standards for financial reporting for tax purposes in the years since the 2008 financial crisis. They seek greater certainty that companies are paying their fair share of taxes. A new tax compliance culture—on both sides of the tax reporting equation—is the result, and data and analytics are at the heart of that change.

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Exponential technologies are about to change the way tax professionals work


Posted by Beth Mueller on April 7, 2017

Digital technology is disrupting all manner of knowledge work, and tax is no exception. In tacit admission of this trend, taxpayers and regulatory authorities have been stepping up their efforts to collect and analyze tax data. On the horizon? Machine intelligence—part of a group we call exponential technologies because of its rapidly compounding power.

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