Accenture Report Highlights Tech Developments Merging the Digital and Bodily

Accenture Report Highlights Tech Developments Merging the Digital and Bodily

Accenture Report Highlights Tech Developments Merging the Digital and Bodily


Accenture’s newest Know-how Imaginative and prescient 2023 report accommodates insights into how key applied sciences are converging to merge the digital and bodily worlds. Although the digital world has grown by leaps and bounds, it has but to be absolutely built-in into the bodily world, creating challenges in digital id and knowledge inoperability, environmental affect, and workforce modifications.

“When Atoms Meet Bits: The Foundations of Our New Actuality” explores 4 key traits the corporate envisions for the way forward for digital transformation, together with generative AI, rising knowledge applied sciences, digital id tech, and scientific expertise.

Generative AI is Altering the Sport

The primary transformative pattern is generative AI. Accenture was forward of the sport by highlighting this pattern in final yr’s report, many months earlier than ChatGPT grew to become a family title. Basis fashions constructed on transformer expertise, like GPT-4, are quickly advancing and companies throughout many industries are exploring them for duties like customer support bots, generative product design, and automatic coding. Basis fashions are additionally enabled by their elevated scale introduced on by advances in computing infrastructure, in addition to coaching strategies like few-shot and zero-shot studying that allow fashions to finish new duties with few or no examples.

“It’s crucial for each enterprise to concentrate to basis fashions. To be a part of this new technology of AI purposes and leverage these fashions to drive novel enterprise options and choices, corporations want to grasp their strengths and capabilities and monitor how they’re advancing—beginning at the moment,” the report states.

(Blue Planet Studio/Shutterstock)

One writer of the report, Paul Daugherty, Accenture group chief government of expertise and CTO, says there are two methods to consider generative AI when deciding easy methods to use it for enterprise: devour or customise. Throughout a kickoff presentation for the report, he requested, “Will you be a client of it? Will you utilize ChatGPT, DALL-E, Secure Diffusion? Or will you customise AI, will you fine-tune fashions, or develop your individual fashions? How will your individual knowledge be built-in?”

Daugherty says that customized fashions would be the future: “We imagine from the work we’ve finished that personalized fashions is the place the overwhelming majority of the worth can be for organizations, which has implications for the way you put together for it, the way you set your structure, the way you construct your expertise, and the way you progress ahead.”

The report particulars how companies ought to adapt their AI methods, and expertise technique can be essential as basis fashions proceed to emerge. AI operations will transition from creating fashions to constructing upon them, emphasizing the significance of expert expertise who can customise and combine basis fashions. Accenture says it will likely be important to contain your entire group with monitoring mannequin outputs and addressing associated challenges, which can contain coaching all staff on basis mannequin capabilities or forming devoted groups for mannequin integration.

Information Transparency Pushes New Options

One other key pattern pertains to modifications within the knowledge ecosystem because of the growing quantity of information and the rising demand for transparency. The report notes that stakeholders equivalent to governments, customers, staff, and enterprise companions have excessive expectations round knowledge transparency, and lots of company knowledge architectures usually are not properly geared up for governance. Information is being generated at an unprecedented fee, and to responsibly handle it, enterprises want elevated knowledge entry together with a deal with knowledge high quality.


Michael Blitz, report writer and managing director of Accenture Know-how Imaginative and prescient, says his staff was within the knowledge facet of exploring the intersection of the digital and bodily as a result of “We’re subtly shifting in the direction of a world that’s going to be massively clear.” In a press briefing, he went on to say that these “home windows of transparency” will trigger companies to consider their knowledge technique and infrastructure in another way.

“A lot of the international 2000 corporations proper now, knowledge methods are based mostly on the belief from nearly 20 years in the past that claims ‘We’re coping with restricted knowledge, and we’re making an attempt to make the most effective choices we are able to by grabbing insights from what knowledge we’ve obtained,’” Blitz instructed Datanami in a press briefing. “I feel what we’re actually pushing is that that is nonetheless true, however increasingly we’re shifting towards home windows [of transparency] that say ‘I do know all the things about my provide chain. I do know each product that goes by means of it. I do know all the things about my manufacturing plant and what goes by means of it.’”

Accenture recommends analyzing a enterprise’s total knowledge lifecycle which entails rethinking what knowledge is collected and the way, wanting on the knowledge administration strategy and figuring out shortcomings, reassessing how knowledge is used and who has entry to it, and figuring out which enterprise features knowledge can serve.


There are a number of applied sciences that may enhance knowledge methods. Data graphs visualize hyperlinks between associated knowledge factors and sometimes embody semantic layers, or textual content descriptions of information, which might make it simpler to seek for knowledge and enhance productiveness. Self-service analytics is one other key space, as it may well empower non-technical staff to seek out insights with out bogging down the info science staff.

Information mesh and knowledge material are rising methods that may assist streamline and de-silo knowledge architectures. Information materials construct a single supply of reality throughout disparate sources utilizing automation and metadata, whereas knowledge mesh treats every knowledge supply as an impartial product with domain-specific experience and administration.

Blitz says the authors included knowledge mesh and different rising knowledge tech as a technique to begin speaking about how companies can begin coping with the deluge of information in real-time by means of re-thinking knowledge infrastructure: “It’s going to begin to be rather more customized and pushed, with the necessity to make connections across the context and real-time facets, and a lot of the knowledge architectures usually are not minimize out for it. These applied sciences we’re speaking about inside the report are the stepping stones for corporations trying to remedy easy methods to get knowledge to the suitable place on the proper time when you’re coping with large quantities of information,” stated Blitz.

Defending Digital Identification


Accenture says digital id is driving the following wave of tech disruption and can play a vital position in shaping enterprise by future-proofing enterprises for brand new knowledge sharing and possession paradigms. Within the often-tenuous connection between digital and bodily life, defending the gateway of digital id is crucial. The report discovered that digital id is now seen by 85% of executives as a strategic enterprise crucial, not only a technical concern.

“Main innovators are making a base layer of id and forging options that may grow to be our new on-ramp to the net,” the report states, noting that “Already, digitally born core identities are beginning to emerge, spearheaded by governments, public-private partnerships, and grassroots efforts.”

One strategy is to create decentralized platforms like Self-Sovereign Identification (SSI) which is predicated on blockchain and distributed ledger expertise the place validation depends on consensus mechanisms from a number of events. Accenture says the benefits of distributed approaches are enhanced security, safety, and belief. Nonetheless, challenges like usability, interoperability, and account restoration considerations can hinder their adoption.

The Science and Know-how Suggestions Loop

The ultimate pattern within the Know-how Imaginative and prescient report has to do with the acceleration of science and expertise as one. Accenture calls the connection between science and expertise a bi-directional suggestions loop that drives progress and expands potentialities, and the report names three early domains the place the cycle is considerably accelerating: supplies and vitality, Earth and house, and artificial biology.


The report particulars how companies might want to acknowledge the importance of the science tech revolution to stay aggressive. Because it stands, 95% of world executives imagine next-generation computing can be a serious driver of breakthroughs of their trade over the following decade. Addressing international challenges like pandemics, local weather change, and provide chain points would require corporations to put money into science tech to develop options extra quickly and successfully.

Various ranges of maturity throughout industries might hinder embracing science tech, Accenture notes, and corporations ought to deal with collaboration, particularly in extremely specialised fields like quantum computing. The report recommends that organizations experiment with rising science platforms to achieve expertise and data whereas remaining conscious of the dangers related to key drivers of the science-technology revolution, equivalent to artificial biology and quantum computing, and put together accordingly.

The convergence of those expertise traits will change the world, in response to the report’s authors: “We’ve arrived at an thrilling frontier of expertise innovation for companies, one the place we’re not simply digitizing however beginning to put that digital basis to work. Fusing digital and bodily just isn’t solely producing new services, however it’s additionally the drive behind a brand new period of scientific analysis. Leaders are creating the following set of instruments and disruptions poised to rewrite how the world works. And what’s grow to be clear is that when atoms and bits collide, really new potentialities emerge.”

Learn the complete report at this hyperlink.

Associated Gadgets:

Solely 12% of AI Customers Are Maximizing It, Accenture Says

Accenture Collaborates with Mars on ‘Manufacturing unit of the Future’ Utilizing AI, Cloud, Edge and Digital Twins

Accenture Report Explores the ‘Unreal’ World of Artificial Information and Generative AI

Google companions with ADT to launch sensible safety system Previous post Google companions with ADT to launch sensible safety system
Sony Electronics Introduces New Era Spatial Actuality Show Next post Sony Electronics Introduces New Era Spatial Actuality Show