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Human Amplification In The Enterprise - Resources and Utilities

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Human Amplification In The Enterprise - Resources and Utilities

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Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Resources and Utilities.

The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).

Infosys commissioned a study to develop a research methodology and get insights into the current nature of digital transformation enterprises undergo, across industry verticals. This deck provides industry specific insights from Resources and Utilities.

The study sought to understand a) the specific drivers of digital transformation for enterprises, b) the various facets of this transformation, c) expected and ensuing outcomes, and d) the role of Artificial Intelligence (AI).

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Human Amplification In The Enterprise - Resources and Utilities

  1. 1. www.infosys.com/human-amplification
  2. 2. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE THE RESEARCH THE STUDY REVEALS • Specific drivers of digital transformation for enterprises • The facets of this transformation • Expected and ensuing outcomes • Role of Artificial Intelligence (AI)- supported activities through the digital transformation journey The study outlines how an enterprise’s digital transformation can become more than an accelerator of business, an amplifier of its people. 2 IT and business decision makers were interviewed from industry verticals across the U.S., from a range of organizations, with more than 1,070 employees and 1,000 or more annual revenue $500M
  3. 3. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE CURRENT STATE OF DIGITAL TRANSFORMATION 3 87% enterprises in the Resources and Utilities sector are undergoing full-cycle digital transformation 12% are transforming partially or in pockets 1% are not currently transforming but will do so in the near future
  4. 4. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE Progress toward digital transformation goals Limited progress (1-25%) Some progress (25-50%) Significant progress (50- 75%) Near complete (100%) 4% 7% 79% 10% KEY GOALS TO ACHIEVE WITH DIGITAL TRANSFORMATION 4 This research also took a look into what enterprises mandate for their senior leadership to achieve to be able to meet their organizations’ 12-month growth plans. REASONS THAT MAKE IT DIFFICULT TO ACHIEVE THE MANDATED GOALS feel it is lack of collaboration among teams59% say it is lack of data-led insights on demand55% cite lack of in-house knowledge and skills around the technology51% But only a few enterprises have fully accomplished their stated goals to become more agile and customer-centric71% to build a mobile enterprise61% to build an innovation culture54%
  5. 5. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE ROLE OF AI 5 The respondents who say their organizations are transforming indicate that the following AI-supported activities play a significant role in their digital transformation: 92% Machine learning 85% Institutionalization of enterprise knowledge using AI 84% Chatbots 81% Cognitive AI-led processes or tasks 78% Robotic automation 77% Automated predictive analytics
  6. 6. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE TRANSFORMATION PRIORITY 1 – AUTOMATION 6 46% of the respondents indicate their organizations’ first priority for automation initiatives is to automate applications, followed by processes PRIMARY REASONS FOR AUTOMATION WHAT ENTERPRISES WANT TO ACHIEVE WITH AI APPLICATIONS to increase productivity87% to minimize manual errors86% to reduce costs86% to save time 53% to ensure consistency and quality43% to refocus people’s efforts on non- repetitive tasks that benefit from human intervention 40% want AI to manage or organize data 81% want AI to provide human-like recommendations for automated customer support/advice58% want AI to process complex structured and unstructured data and to automate insights-led decisions57% want to use AI to create a simulated experience that is essential to decision making process51% want to use AI to create a decision-making system in which machine learning allows the system to learn from humans and improve itself 46% want to use AI to institutionalize enterprise knowledge34%
  7. 7. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE TRANSFORMATION PRIORITY 2 – INNOVATION 7 Organizations that automate and reinvest their people productivity gains into innovation efforts tend to be more successful WHAT PEOPLE NEED TO BE MORE INNOVATIVE need opportunities to learn new skills88% want more avenues for experimentation75% need exposure to new, breakthrough technologies45% need more collaboration with other people45% need freedom from having to execute mundane tasks58%
  8. 8. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE TRANSFORMATION PRIORITY 3 – LEARNING 8 Transformation is most fruitful when based in a culture of lifelong learning that ensures people remain relevant even in a vastly changed, increasingly digital landscape LIFELONG LEARNING IS THE FUTURE respondents from Resources and Utilities enterprises say that employee lifelong learning programs are extremely important to their organizations 4 in 5 LIFELONG LEARNING IS IMPORTANT BECAUSE… say it improves their ability to fit into new roles and jobs59% say it enables employees to innovate 20% say it improves their productivity 18% say it prevents skills loss when employees with highly specialized skills retire or switch jobs4%
  9. 9. RESOURCES AND UTILITIES HUMAN AMPLIFICATION IN THE ENTERPRISE TRANSFORMATION CHALLENGES 9 We specifically asked IT professionals about the difficulties in achieving their enterprises’ full-cycle digital transformation DIFFICULTIES IN ACHIEVING FULL- CYCLE DIGITAL TRANSFORMATION highlight IT misalignment 59% say it is time constraints 57% cite entrenched resistance to change within the organization54% CHALLENGES IN ADOPTING MORE AI-SUPPORTED ACTIVITIES IN ENTERPRISES state lack of in-house knowledge and skills around the technology73% say there’s lack of clarity regarding the value proposition of AI65% indicate lack of financial resources 57%
  10. 10. Copyright © 2017 Infosys Limited Infosys.com/human-amplification to find out more about how you can accelerate your full-cycle digital transformation with AI-driven applications. Visit

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