Viewing offline content

Limited functionality available

Dismiss
Deloitte UK
  • Services

    Highlights

    • CFO Advisory

      Bringing together the best of Deloitte to support CFOs. Whether developing skills or navigating business challenges, CFO Advisory can support.

    • Deloitte Ventures

      Connecting our clients to emerging start-ups, leading technology players and a whole raft of new Deloitte talent.

    • Towards net zero together

      Discover the people leading the change and what could be possible for your business.

    • Audit & Assurance

      • Audit
      • Audit - IASPlus
      • Assurance
    • Consulting

      • Core Business Operations
      • Customer and Marketing
      • Enterprise Technology & Performance
      • Human Capital
      • Strategy, Analytics and M&A
    • Financial Advisory

      • Mergers & Acquisitions
      • Performance Improvement
    • Legal

      • Legal Advisory
      • Legal Managed Services
      • Legal Management Consulting
    • Deloitte Private

      • Family Enterprises
      • Private Equity
      • Emerging Growth
      • Family Office
    • Risk Advisory

      • Accounting and Internal Controls
      • Cyber and Strategic Risk
      • Regulatory and Legal
    • Tax

      • Global Business Tax Services
      • Indirect Tax
      • Global Employer Services
  • Industries

    Highlights

    • Ecosystems & Alliances

      An engine to embrace and harness disruptive change

    • Resilience Reimagined

      Resilient organisations thrive before, during and after adversity. How will you become more resilient?

    • Consumer

      • Automotive
      • Consumer Products
      • Retail, Wholesale & Distribution
      • Transportation, Hospitality & Services
    • Energy, Resources & Industrials

      • Industrial Products & Construction
      • Mining & Metals
      • Energy & Chemicals
      • Power, Utilities & Renewables
      • Future of Energy
    • Financial Services

      • Banking
      • Capital Markets
      • Insurance
      • Investment Management
      • Real Estate
      • FinTech & Alternative Finance
    • Government & Public Services

      • Health & Human Services
      • Defence, Security & Justice
      • Central Government
      • Infrastructure, Transport and Regional Government
    • Life Sciences & Health Care

      • Health Care
      • Life Sciences
    • Technology, Media & Telecommunications

      • Telecommunications, Media & Entertainment
      • Technology
  • Insights

    Deloitte Insights

    Highlights

    • Deloitte Insights Magazine

      Explore the latest issue now

    • Deloitte Insights app

      Go straight to smart with daily updates on your mobile device

    • Weekly economic update

      See what's happening this week and the impact on your business

    • Strategy

      • Business Strategy & Growth
      • Digital Transformation
      • Governance & Board
      • Innovation
      • Marketing & Sales
      • Private Enterprise
    • Economy & Society

      • Economy
      • Environmental, Social, & Governance
      • Health Equity
      • Trust
      • Mobility
    • Organization

      • Operations
      • Finance & Tax
      • Risk & Regulation
      • Supply Chain
      • Smart Manufacturing
    • People

      • Leadership
      • Talent & Work
      • Diversity, Equity, & Inclusion
    • Technology

      • Data & Analytics
      • Emerging Technologies
      • Technology Management
    • Industries

      • Consumer
      • Energy, Resources, & Industrials
      • Financial Services
      • Government & Public Services
      • Life Sciences & Health Care
      • Technology, Media, & Telecommunications
    • Spotlight

      • Deloitte Insights Magazine
      • Press Room Podcasts
      • Weekly Economic Update
      • COVID-19
      • Resilience
      • Top 10 reading guide
  • Careers

    Highlights

    • Hear from our people

      At Deloitte, our people are at the heart of what we do. Discover their stories to find out more about Life at Deloitte.

    • Careers Home

  • UK-EN Location: United Kingdom-English  
  • UK-EN Location: United Kingdom-English  
    • Dashboard
    • Saved Items
    • Content feed
    • Profile/Interests
    • Account settings

Welcome back

Still not a member? Join My Deloitte

Pervasive intelligence

by David Schatsky, Jonathan Camhi, Aniket Dongre
  • Save for later
  • Download
  • Share
    • Share on Facebook
    • Share on Twitter
    • Share on Linkedin
    • Share by email
Deloitte Insights
  • Strategy
    Strategy
    Strategy
    • Business Strategy & Growth
    • Digital Transformation
    • Governance & Board
    • Innovation
    • Marketing & Sales
    • Private Enterprise
  • Economy & Society
    Economy & Society
    Economy & Society
    • Economy
    • Environmental, Social, & Governance
    • Health Equity
    • Trust
    • Mobility
  • Organization
    Organization
    Organization
    • Operations
    • Finance & Tax
    • Risk & Regulation
    • Supply Chain
    • Smart Manufacturing
  • People
    People
    People
    • Leadership
    • Talent & Work
    • Diversity, Equity, & Inclusion
  • Technology
    Technology
    Technology
    • Data & Analytics
    • Emerging Technologies
    • Technology Management
  • Industries
    Industries
    Industries
    • Consumer
    • Energy, Resources, & Industrials
    • Financial Services
    • Government & Public Services
    • Life Sciences & Health Care
    • Tech, Media, & Telecom
  • Spotlight
    Spotlight
    Spotlight
    • Deloitte Insights Magazine
    • Press Room Podcasts
    • Weekly Economic Update
    • COVID-19
    • Resilience
    • Top 10 reading guide
    • UK-EN Location: United Kingdom-English  
      • Dashboard
      • Saved Items
      • Content feed
      • Profile/Interests
      • Account settings
    07 November 2018

    Pervasive intelligence Smart machines everywhere

    07 November 2018
    • David Schatsky United States
    • Jonathan Camhi United States
    • Aniket Dongre United States
    • Save for later
    • Download
    • Share
      • Share on Facebook
      • Share on Twitter
      • Share on Linkedin
      • Share by email
    • Signals
    • Advanced hardware is propelling AI out of the data center
    • From connected to pervasive
    • Strategic implications
    • Implications for business and technology leaders
    • The coming era of pervasive intelligence

    ​Everything is getting smarter, as new AI technology empowers an ever-widening range of devices to learn from experiences, adapt to changing situations, and predict outcomes. Companies are already exploring opportunities.

    Advances in artificial intelligence (AI) software and hardware are giving rise to a multitude of smart devices that can recognize and react to sights, sounds, and other patterns—and do not require a persistent connection to the cloud. These smart devices, from robots to cameras to medical devices, could well unlock greater efficiency and effectiveness at organizations that adopt them. That’s only part of the story. In some industries, they may also change how profits are divided.

    Signals

    • AI software providers are tailoring their AI models and algorithms for deployment on machines and devices outside the data center1
    • Chip manufacturers are increasingly embedding support for AI directly into devices2
    • AI chips are being developed that can perform complex computations but consume minute amounts of power in some cases, measured in microwatts3
    • Machines with embedded AI are beginning to appear in many industries, including logistics, manufacturing, agriculture, transportation, and health care
    • Annual shipments of devices with embedded AI are projected to increase from 79 million last year to 1.2 billion in 20234

    Advanced hardware is propelling AI out of the data center

    Advances in software and hardware are propelling AI outside of the data center into devices and machines we use in our work and our everyday lives.

    Learn More

    Explore the Signals for Strategists collection

    Browse the AI & Cognitive Technologies collection

    Subscribe to receive updates on emerging technologies

    Processors designed to execute machine learning algorithms efficiently while using minimal power—essential for use in mobile devices—are already coming to market.5 And dozens of companies working on new generations of AI chips—for use both in and outside of data centers—are attracting significant investment. These companies raised more than US$1.5 billion in funding last year, nearly twice the amount they raised the year before.6

    The innovation in AI chips is impressive. For instance, MIT researchers unveiled a chip earlier this year that can perform inference using neural network computations three to seven times faster than previous chips, and with up to 95 percent less power consumption. Performance such as this makes these chips suitable for running algorithms directly on low-power Internet of Things (IoT) devices such as sensors.7

    AI chips are already beginning to appear in smartphones and other devices in large numbers: Deloitte predicts there will be more than half a billion mobile chips running machine learning on smartphones, tablets, and other devices in 2018.8 And continued innovation in AI hardware and software will lead to a growing number of devices and machines with built-in AI capabilities.9 One research study predicts that 43 percent of all AI inference (or analysis) globally will occur at the edge—meaning outside of data centers, on machines and devices—by 2023, up from just 6 percent last year.10

    All this is to say that AI is not just getting better—it is becoming more pervasive. As new generations of hardware and software endow all manner of both consumer and enterprise devices, appliances, machines, and other equipment with AI capabilities, we are poised to enter an era of pervasive intelligence.11

    From connected to pervasive

    The era of pervasive intelligence will be marked by a proliferation of AI-powered smart devices able to recognize and react to sights, sounds, and other patterns. Increasingly, machines will learn from experiences, adapt to changing situations, and predict outcomes. Some will infer users’ needs and desires and even collaborate with other devices by exchanging information, distributing tasks, and coordinating their actions.

    With AI embedded, rather than confined solely to the cloud, the intelligence in these devices will not depend on internet connectivity. And they will not suffer the latency entailed by transmitting data to the cloud for analysis. Lower latency and connectivity independence will enable all kinds of applications—such as vehicle navigation and augmented reality and some health care applications—that require instantaneous response and robust performance even when connectivity is poor or not available.

    Pervasive intelligence taking root across industries

    A wide range of industries will likely benefit from the arrival of smart devices. The examples cited below—most still in development or in pilotoffer a glimpse of how pervasive intelligence may well reshape not only company operations but, in some cases, industry dynamics.12

    Manufacturing. Robots are increasingly being equipped with sensors and AI, dramatically boosting their utility on the factory floor by allowing them to work safely alongside humans.13 Early iterations of this new generation of collaborative robots, or cobots, relied primarily on cloud-hosted intelligence, but chipmakers and robotics companies are partnering to embed intelligence in computing resources on the factory floor or in robots themselves.14 This could allow robots on the assembly line to calculate the motion of their arms over a thousand times faster or respond immediately to disruptive events, such as taking up the task of another robot that fails in order to keep production running and prevent downtime.15

    Manufacturers could also benefit from leveraging on-site intelligence for other equipment. Smart valves tapping AI algorithms on nearby gateway devices can help reduce chemical leakages and costly downtime.16

    Health care. Intelligent medical devices with embedded AI could change how health care is delivered and promise to cut costs and enhance patient well-being. Trials have shown, for instance, that AI-powered implants for epilepsy patients significantly reduced the frequency of seizures.17 Similar implants that can sense and avert impending negative health events could deliver remote monitoring and treatments, along with cost savings in patient care.

    Construction. Real-time monitoring of progress at construction sites with drones and smart cameras could prevent project delays and cut material waste, estimated at US$160 billion annually.18 One startup that makes AI-powered autonomous construction-site inspection vehicles claims that its system helped improve productivity by 38 percent and helped a project come in 11 percent under budget.19

    Logistics and distribution. Intelligent robots are cutting costs and increasing speed and efficiency in the logistics domain. A system of smart warehouse robots, leveraging a combination of AI hosted in the cloud and in on-site micro data centers, can communicate with each other to jointly tackle order-fulfillment assignments, slashing picking times for online grocery orders from hours down to minutes.20

    Automotive/transportation. Autonomous vehicles, perhaps the most prominent example of machines with embedded intelligence, are expected eventually to reshape the transportation sector by offering a cheaper alternative to traditional car ownership through on-demand ride services. They could also make parking lots, traffic jams, and gas stations disappear, while upending traditional business models for auto insurers, logistics providers, and other companies.21

    Agriculture. Robotic herbicide sprayers equipped with cameras and computer vision allow precise application of herbicide to weeds only, cutting the use of herbicide and associated costs for some farmers by up to 90 percent compared to prevailing methods.22

    Energy. Networked wind turbines outfitted with sensors and tapping algorithms deployed on-premises at a wind farm can share information about changing wind conditions and make real-time adjustments to their speed and blade and rotor angle, allowing each individual turbine to maximize its power generation based on changing conditions and the actions of neighboring turbines. This could increase their collective output by as much as 4 to 8 percent while minimizing wear and tear.23

    Security. Smart security cameras with embedded AI “will be able to know your name, what you’re holding, or that you’ve been loitering for exactly 17.5 minutes,” in the words of one journalist, making it possible to alert companies or law enforcement of suspicious activity in real time.24

    Strategic implications

    Smart devices have the potential to help companies achieve new levels of efficiency and effectiveness: automating processes, cutting materials waste, reducing cost, and increasing output. But the impact of the age of pervasive intelligence goes beyond faster, better, and cheaper. Smart machines may well help expand existing markets, threaten incumbents, and shift how profits are divided. We explore each of these possibilities below.

    Expanding markets

    By cutting costs and increasing efficiency, smart machines may help expand certain markets. The adoption of the aforementioned warehouse picking robots, for instance, could help expand the online grocery market. Faster order fulfillment and delivery can help reduce the wait times that some cite as a top reason why consumers don’t buy groceries online.25 Smart wind turbines that work collaboratively (see sidebar, “Swarm intelligence”) help operators simultaneously cut costs and increase output. In many geographies, they have increased demand for wind energy by helping to make wind price-competitive with more traditional energy sources.26 Smart surveillance cameras that can automatically analyze and act on what they see may expand the market for surveillance cameras to uses in which people are unavailable to monitor the resulting video footage.

    Swarm intelligence

    The examples of smart warehouse robots that work together to pick orders and smart wind turbines that collaborate to maximize power generation both demonstrate how distributed systems of connected, intelligent devices can cooperate to achieve greater speed and efficiency. In an example from the public sector, a system of smart traffic lights with embedded AI delivered a 25 percent reduction in travel times and a 40 percent reduction in idling times during a test pilot in Pittsburgh.27 The lights make decisions based on traffic volumes at their individual intersections and then relay those decisions to nearby traffic lights, which then incorporate that information into their own decision-making. While these types of coordinated and decentralized systems are still mostly in early development, startups are working on similar systems for managing crop fields,28 inspecting infrastructure,29 and maintaining physical security.30

    Threatening incumbents

    Product companies of all kinds may face competition from new entrants offering smart alternatives. Makers of traditional surveillance cameras, herbicide spraying equipment, and industrial valves, for instance, could see demand for their products shift toward smarter alternatives; they would be wise to consider adding smart options to their product lineup. While development and adoption of many smart devices may take time, incumbents must prepare for a tipping point when smart products could render traditional ones obsolete. Automakers are preparing for this shift by developing their own autonomous vehicles and technologies through partnerships and acquisitions.31 Incumbents in other sectors should similarly explore partnerships and acquisitions with an eye toward introducing embedded AI into their product lines.

    Shifting revenues

    Smart devices could lead to shifts in how revenue and profits are apportioned among industry players. Many industry experts expect that the advent of autonomous ride-hailing services will drive down vehicle ownership, shifting revenue from carmakers to autonomous fleet operators.32 Other industries could see similar transformational shifts driven by the speed and efficiency of intelligent machines. The robotic herbicide sprayers mentioned above could drastically cut farmers’ herbicide usage, shrinking the US$28 billion herbicide market, and could similarly dampen demand for other chemicals like fertilizer, a US$150 billion global market.33 Health care providers could see similar value shifts caused by AI-equipped medical devices such as the epilepsy implant cited earlier. Health care spending in this case could shift from emergency-room visits to devices and implant procedures, with technology potentially saving patients and insurers tens of thousands of dollars in annual emergency care costs per patient.34

    Implications for business and technology leaders

    The era of pervasive intelligence will present professionals in a variety of roles with opportunities and challenges.

    Operations professionals may need to consider how to select, integrate, and employ smart products to gain greater speed and efficiency for their organizations.

    Product marketers may need to plan new generations of products with embedded intelligence. Smartphone manufacturers are already beginning to enhance their products with embedded AI capabilities, such as image or speech recognition, that don’t rely on network connectivity to the cloud. One newly released smartphone, for instance, can turn users into better photographers by automatically capturing many images in rapid succession and recommending the best of them.35 These devices will able to offer new experiences like augmented and virtual reality and provide greater levels of personalization based on self-learning users’ preferences. Gartner forecasts that 80 percent of smartphones shipped in 2022 will have embedded AI to enable these types of enhancements, up from 10 percent last year.36

    Market strategists will need to understand how intelligent devices could change the dynamics in their industry. Where embedded intelligence can yield improved products or better service delivery, companies should strive to identify how to capture greater value from expanding markets or product differentiation. Makers of inputs like pesticides or construction materials will need to consider how to hedge against declining demand for those goods if customers adopt smarter processes that use those inputs more efficiently.

    Strategists should also consider how pervasive intelligence can create opportunities for new revenue sources and business models. Some telecom operators are already building computing infrastructure into their cellular base stations,37 enabling them to provide services for analyzing data from nearby devices with AI or offer up that computing infrastructure itself as a managed service. Goods manufacturers can leverage the flexibility of collaborative robots to quickly produce and sell customized items for end consumers.38 Media companies might benefit from on-device AI by offering premium services based on AI-powered, personalized recommendations or augmented reality. 

    Risk leaders will need to work with product marketers to analyze the potential risk implications of the proposed products, especially those deployed in sensitive settings such as cars, personal spaces, and human bodies. In order for pervasive intelligence to deliver on its potential, risks around algorithm bias, decision accuracy and transparency, data privacy, and cybersecurity need to be identified, assessed, managed, and monitored through a combination of technical and operational measures. Ethics of pervasive intelligence applications should be considered as well, especially in circumstances where individuals’ rights may be significantly affected.

    The coming era of pervasive intelligence

    It will be several years before the pervasive intelligence trend has a significant impact on most industries. But as the examples above suggest, the impacts could ultimately be significant. Devices with embedded intelligence will eventually become ubiquitous in commercial settings and consumers’ lives, enabling entirely new levels of performance and efficiency. Companies should begin now to game out the potential impact of pervasive intelligence on their business and their industry to position themselves to reap the benefits.

    Authors

    David Schatsky is a managing director at Deloitte LLP. He is based in New York.
    Jonathan Camhi is a senior consultant at Deloitte LLP and is based in New York.
    Aniket Dongre is a manager at Deloitte Support Services India Pvt. Ltd. focusing on the intersection of innovation, strategy, and technology. He is based in Mumbai, India.

    Acknowledgments

    The authors would like to thank: Ragu Gurumurthy, chief innovation officer and chief digital officer, and Craig Muraskin, managing director, Deloitte LLP; Duncan Stewart, managing director, Deloitte Canada; and Yang Chu, senior manager at Deloitte & Touche LLP.

    Cover image by: Molly Woodworth

    Endnotes
      1. For a discussion about how machine learning is being deployed locally at the point of use, see David Schatsky and Rameeta Chauhan, Machine learning and the five vectors of progress, Deloitte Insights, November 29, 2017. View in article

      2. See Deloitte, Hitting the accelerator: The next generation of machine-learning chips, 2018. View in article

      3. Katherine Bourzac, “Speck-size computers: Now with deep learning,” IEEE Spectrum, March 28, 2017. View in article

      4. ABI Research, “Hardware vendors will win big in meeting the demand for edge AI hardware,” May 29, 2018. View in article

      5. Today these chips are mainly used for inference—drawing conclusions using existing machine learning models—rather than training the models themselves. View in article

      6. Cade Metz, “Big bets on A.I. open a new frontier for chip start-ups, too,” New York Times, January 14, 2018. View in article

      7. Larry Hardesty, “Neural networks everywhere,” MIT News, February 13, 2018. View in article

      8. For more on the evolving AI chip market, see Deloitte, Hitting the accelerator. View in article

      9. This is a continuation of the trend we first explored in David Schatsky, Machine learning is going mobile, Deloitte University Press, April 1, 2016. View in article

      10. ABI Research, “Hardware vendors will win big in meeting the demand for edge AI hardware.” View in article

      11. This idea is closely related to the concept of ambient computing, explored by Deloitte in Tech Trends 2015. See Andy Daecher and Thomas Galizia, Ambient computing, Deloitte University Press, January 29, 2015. View in article

      12. The industries are listed in descending size order according to estimates from the US Bureau of Economic Analysis. See Bureau of Economic Analysis, “Industry data,” accessed October 28, 2018. View in article

      13. For a view of how advances in robotics are changing multiple industries, see David Schatsky and Amanpreet Arora, Robots uncaged, Deloitte University Press, October 18, 2017. View in article

      14. Talos, “Fanuc partners with Nvidia to bring intelligent robots to factories,” accessed October 28, 2018. View in article

      15. Evan Ackerman, “Motion-planning chip speeds robots,” IEEE Spectrum, December 19, 2016. View in article

      16. Reality AI, “Industrial equipment and manufacturing,” accessed October 28, 2018. View in article

      17. NeuroPace, “NeuroPace closes $74 million equity funding to accelerate patient access to the world’s first brain-responsive neurostimulation system to treat epilepsy,” October 24, 2017. View in article

      18. Clay Dillow, “The construction industry is in love with drones,” Fortune, September 13, 2016. View in article

      19. Saurabh Ladha, “Introducing artificial intelligence for construction productivity,” Medium, January 23, 2018. View in article

      20. Max Smolaks, “Robots and software: How Ocado is creating new business models,” Data Center Dynamics, August 29, 2018; Ocado, “ How online grocer Ocado is automating warehouses using swarms of robots,” Harvard Business Review, May 22, 2018. View in article

      21. Scott Corwin et al., The future of mobility, Deloitte University Press, September 24, 2015. View in article

      22. Blue River Technology, “Our See & Spray machines,” accessed October 28, 2018. View in article

      23. Katie Fehrenbacher, “Why wind turbines should talk to each other,” Greentech Media, February 17, 2017. View in article

      24. Tom Simonite, “Thanks to AI, these cameras will know what they’re seeing,” Wired, April 17, 2018. View in article

      25. Ben Clague, “Here’s why shoppers say they don’t buy groceries online,” eMarketer Retail, April 4, 2017. View in article

      26. Marlene Motkya, Andrew Slaughter, and Carolyn Amon, Global renewable energy trends, Deloitte Insights, September 13, 2018. View in article

      27. Prachi Patel, “Pittsburgh’s AI traffic signals will make driving less boring,” IEEE Spectrum, October 17, 2016. View in article

      28. Swarm Farm, accessed October 28, 2018. View in article

      29. Sentien Robotics, accessed October 28, 2018. View in article

      30. iHLS, “New swarm technology for guard robots,” December 8, 2017. View in article

      31. CB Insights, “Disrupting the car,” July 2018. View in article

      32. Craig A. Giffi et al., “The race to autonomous driving,” Deloitte Review 20, January 23, 2017. View in article

      33. Amanda Little, “This army of AI robots will feed the world,” Bloomberg Businessweek, January 11, 2018. View in article

      34. RSC Diagnostics, “The high cost of anti-seizure medications,” September 14, 2016. View in article

      35. Taylor Hatmaker, “Google ups the Pixel 3’s camera game with Top Shot, group selfies and more,” TechCrunch, October 9, 2018. View in article

      36. Natasha Lomas, “The light and dark of AI-powered smartphones,” TechCrunch, January 6, 2018. View in article

      37. Carol Wilson, “Edge computing: AT&T’s next big play?,” Light Reading, July 24, 2017. View in article

      38. Flex, “Recoding the run,” accessed October 28, 2018. View in article

    Show moreShow less

    Topics in this article

    Technology Management , Emerging technologies , Artificial intelligence (AI) , Strategy , Cognitive technologies , Signals for Strategists

    Deloitte Consulting

    No matter how complex your business questions, we have the capabilities and experience to deliver the answers you need to move forward. As the world's largest consulting firm, we can help you take decisive action and achieve sustainable results.

    Learn more
    Get in touch
    Contact
    • David Schatsky
    • Managing director, US Innovation
    • Deloitte LLP
    • dschatsky@deloitte.com
    • +1 646 582 5209

    Download Subscribe

    Related

    img Trending

    Interactive 3 days ago

    David Schatsky

    David Schatsky

    Managing Director | Deloitte LLP

    David analyzes emerging technology and business trends for Deloitte’s leaders and clients. His recent published works include Signals for Strategists: Sensing Emerging Trends in Business and Technology (Rosetta Books 2015), “Demystifying artificial intelligence: What business leaders need to know about cognitive technologies,” and “Cognitive technologies: The real opportunities for business” (Deloitte Insights 2014-15). Before joining Deloitte, David led two research and advisory firms.

    • dschatsky@deloitte.com
    Jonathan Camhi

    Jonathan Camhi

    Jonathan Camhi is a senior consultant at Deloitte LLP. He analyzes trends related to emerging technologies such as artificial intelligence, blockchain, and IoT. Camhi has several years of experience as a journalist and researcher writing about emerging technologies and their impact on businesses.

    • jcamhi@deloitte.com
    • +1 212 436 3544
    Aniket Dongre

    Aniket Dongre

    Manager | Deloitte

    Aniket Dongre is a manager at Deloitte Support Services India Pvt. Ltd., focusing on the intersection of innovation, strategy, and technology. He frequently evaluates emerging technologies and business trends to support strategic initiatives for Deloitte’s leaders and clients.

    • anidongre@deloitte.com
    • +1 615 209 6731

    Share article highlights

    See something interesting? Simply select text and choose how to share it:

    Email a customized link that shows your highlighted text.
    Copy a customized link that shows your highlighted text.
    Copy your highlighted text.

    Pervasive intelligence has been saved

    Pervasive intelligence has been removed

    An Article Titled Pervasive intelligence already exists in Saved items

    Invalid special characters found 
    Forgot password

    To stay logged in, change your functional cookie settings.

    OR

    Social login not available on Microsoft Edge browser at this time.

    Connect Accounts

    Connect your social accounts

    This is the first time you have logged in with a social network.

    You have previously logged in with a different account. To link your accounts, please re-authenticate.

    Log in with an existing social network:

    To connect with your existing account, please enter your password:

    OR

    Log in with an existing site account:

    To connect with your existing account, please enter your password:

    Forgot password

    Subscribe

    to receive more business insights, analysis, and perspectives from Deloitte Insights
    ✓ Link copied to clipboard
    • Contact us
    • Careers at Deloitte
    • Submit RFP
    Follow Deloitte Insights:
    Global office directory Office locations
    UK-EN Location: United Kingdom-English  
    About Deloitte
    • Home
    • Press releases
    • Newsroom
    • Deloitte Insights
    • Global Office Directory
    • Office locator
    • Contact us
    • Submit RFP
    Services
    • Audit & Assurance
    • Consulting
    • Financial Advisory
    • Legal
    • Deloitte Private
    • Risk Advisory
    • Tax
    Industries
    • Consumer
    • Energy, Resources & Industrials
    • Financial Services
    • Government & Public Services
    • Life Sciences & Health Care
    • Technology, Media & Telecommunications
    Careers
    • Careers Home
    • About Deloitte
    • About Deloitte UK
    • Accessibility statement
    • Cookies
    • Health and Safety
    • Modern Slavery Act Statement
    • Privacy statement
    • Regulators & Provision of Services Regulations
    • Deloitte LLP Subprocessors
    • Supplier Standard Terms & Conditions
    • Terms of Use

    © 2023. See Terms of Use for more information.

     

    Deloitte LLP is the United Kingdom affiliate of Deloitte NSE LLP, a member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”). DTTL and each of its member firms are legally separate and independent entities. DTTL and Deloitte NSE LLP do not provide services to clients. Please see About Deloitte to learn more about our global network of member firms.

     

    Deloitte LLP is a limited liability partnership registered in England and Wales with registered number OC303675 and its registered office at 1 New Street Square, London EC4A 3HQ, United Kingdom. A list of members of Deloitte LLP is available at Companies House.