Tech Vision 2015 Trend 4: Intelligent Enterprise

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Deep dive into the Trend 4 of the Technology Vision 2015 - Intelligent Enterprise - and discover software that propels innovation throughout the business and enhances the customer experience.

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  • Improvements in deep-learning and cognitive-computing technologies are driving enterprise adoption. Advancements in more human-like qualities, such as speech and image recognition and reasoning capabilities, are enabling companies to answer unclear and undefined questions better and faster than ever before.
    Unprecedented data volumes: IDC predicts that by 2020, there will be more than 40 zettabytes of data, 35 percent of which will be considered useful for analysis (up from 22 percent in 2013).ii
    Decreasing cost of storage: Counteracting the rapid growth of data is the plummeting cost of storing it, enabling companies to maintain vast data lakes that can later be used to uncover analytical value. Over the past 30 years, the cost per gigabyte of hard disk data storage has halved every 14 months, from more than $400,000 in 1980 to $0.05 in 2013.iii
    Virtually unlimited compute power: Companies can analyze big data at scale because they now have access to incredible compute power, largely due to the availability of cloud services. IDC reports state that revenue from public cloud services grew at double-digit rates to reach $45.7 billion in 2013 and will grow at a compound annual growth rate (CAGR) of 23 percent through 2018.iv
  • Tech Vision 2015 Trend 4: Intelligent Enterprise

    1. 1. Digital Business Era: Stretch Your Boundaries Trend 4: Intelligent Enterprise
    2. 2. Vision Trend Evolution 2013-2015 Copyright © 2015 Accenture All rights reserved.
    3. 3. Color Palette 3Copyright © 2015 Accenture All rights reserved. R 153 G 51 B 153 R 47 G 83 B 156 R 255 G 221 B 0 R 255 G 153 B 0 R 136 G 221 B 0 R 170 G 17 B51 Internet of Me Outcome Economy Platform (R)evolution Intelligent Enterprise Reimagined Workforce 1 2 3 4 5 5 Trends
    4. 4. 4 Intelligent Enterprise: Huge data, smarter systems— better business. Copyright © 2015 Accenture All rights reserved. 4
    5. 5. For years, software’s expanding capabilities were geared primarily toward helping employees make better and faster decisions. Amid the influx of data—along with advances in processing power, analytics and cognitive technology—software intelligence is helping automobiles, thermostats and other everyday things recognize, “think” and respond accordingly. To fully capture the power and potential of software intelligence, visionary companies will find new ways to get smart software out of the lab and into as many practical scenarios as possible. Only then will their software be able to spur innovation and raise the operating-performance bar across the organization. Intelligent Enterprise: Huge data, smarter systems—better business. #TechVision2015 www.accenture.com/technologyvisionCopyright © 2015 Accenture All rights reserved.
    6. 6. Trend Perspectives: Business and IT Executives 41% Are using machine learning, 36% are experimenting with it and 16% are considering using it. 55% Average increase in amount of data managed over the previous year by each organization surveyed. 91% Believe software intelligence will be critical to simplifying IT. Source: Accenture Technology Vision 2015 Survey of 2,000 business and IT executives www.accenture.com/technologyvision #TechVision2015 Copyright © 2015 Accenture All rights reserved.
    7. 7. More Data is creating an Unexpected Catalyst for More Intelligent Software 7Copyright © 2015 Accenture All rights reserved. Most enterprises struggle to fully utilize their data—they wrestle not only with the volume of data, but also with the many complexities of identifying, capturing, categorizing, analyzing, and sharing it throughout the data supply chain. To address this, more decisions are being made by software—and that many more decisions can and should be entrusted to machines. But as software takes on more decision-making duties, it must be made smarter, too. Only then can the enterprise consider itself truly data driven and intelligent.
    8. 8. Software that learns Much of the power of software intelligence comes from its ability to self- evolve and make novel discoveries. It enables software to stay up to date without relying on manual updates, and it uncovers opportunities to attract customers with new and improved products and services, respectively. Businesses that leverage massive amounts of data to identify and define associations—the foundations of machine learning—will gain an edge over their competitors. 8Copyright © 2015 Accenture All rights reserved. #TechVision2015
    9. 9. Enterprise Commitment Business and technology leaders must view software intelligence not as a pilot, but as an across-the-board functionality #TechVision2015
    10. 10. Understanding the Software Intelligence Maturity Curve • A Foundation in Automation: Rule- based automation is a powerful driver of intelligence that many companies have yet to fully embrace. • Software that Learns: Machine learning can learn from software data, to discover connections, and automatically evolve with to keep pace with user expectations. • Scaling Intelligence through Cognitive Computing: The ability to automate the “best” answer can allow enterprises to solve entirely new daily challenges. 10Copyright © 2015 Accenture All rights reserved. #TechVision2015
    11. 11. Color Palette 11Copyright © 2015 Accenture All rights reserved. R 153 G 51 B 153 R 47 G 83 B 156 R 255 G 221 B 0 R 255 G 153 B 0 R 136 G 221 B 0 R 170 G 17 B51 Intelligent Enterprise: Looking Ahead Visionary companies will find new ways to get smart software out of the lab and into as many practical scenarios as possible, thereby spurring innovation and raising the bar of operating performance across their organizations. Software intelligence is a game-changer for every business in every industry. Ignoring that fact is, simply, not very smart.
    12. 12. www.accenture.com/technologyvision #TechVision2015 Copyright © 2015 Accenture All rights reserved.

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