Skip to main content

Cognitive Collaboration: People and Smart Tech Unite

Smart machine technologies learn on their own and can produce unanticipated results. That said, by working together, smart machines and people can make each other smarter -- and protect each other from their inherent weaknesses.

Smart machines will enter mainstream adoption by 2021, with 30 percent adoption by large companies, according to the latest worldwide market study by Gartner.

New and evolving technologies such as cognitive computing, artificial intelligence (AI), intelligent automation, machine learning and deep learning are all considered to be part of the smart machines ecosystem.

Smart Machine Market Development

"The use of smart machines by enterprises can be transformative and disruptive. Smart machines will profoundly change the way work is done and how value is created. From dynamic pricing models and fraud detection, to predictive policing and robotics, smart machines have broad applicability in all industries," said Susan Tan, research vice president at Gartner.

For professional service providers, smart machines represent opportunities to help enterprises assess, select, implement, change and adapt talent. They can also help transform IT and business processes, in order to successfully adopt smart machines for commercial benefits.

The opportunity for consulting and system integration (C&SI) services will range from advising enterprises to help them with strategic design, training of the smart machines, deployment and integration to expansion and ongoing refinement.

These opportunities will help drive ongoing spending on smart machine C&SI services from $451 million in 2016 to nearly $29 billion in 2021.

Gartner analysts believe that the spectrum of sub-technologies within smart machines will be adopted at different speeds and timings, with the majority of smart technologies being mainstream adopted in the 2020 through 2025 time frame.

Outlook for Cognitive Consulting Services

According to the Gartner assessment, the anticipated enterprise investments into smart machines will span more than a decade, implying that the smart machine C&SI service market will be a long-term one.

"Over time, the increased C&SI opportunity created by the growing number of companies implementing more complex smart machine programs is expected to be counter-balanced by the a reduction in costs of adoption, as every subsequent adoption of the same smart machine solution will be less expensive and faster," said Ms. Tan.

In the long term (that's about 10 years), smart machines will be an integral set of tools in the toolkit of C&SI service providers and infused into all next-generation services offerings.

Popular posts from this blog

AI Semiconductor Revenue will Reach $119.4B

The Chief Information Officer (CIO) and/or the Chief Technology Officer (CTO) will guide Generative AI initiatives within the large enterprise C-Suite. They may already have the technical expertise and experience to understand the capabilities and limitations of Gen AI. They also have the authority and budget to make the necessary investments in infrastructure and talent to support Gen AI initiatives. Enterprise AI infrastructure is proven to be expensive to build, operate and maintain. That's why public cloud service provider solutions are often used for new AI use cases. AI Semiconductor Market Development Semiconductors designed to execute Artificial Intelligence (AI) workloads will represent a $53.4 billion revenue opportunity for the global semiconductor industry in 2023, an increase of 20.9 percent from 2022, according to the latest worldwide market study by Gartner. "The developments in generative AI and the increasing use of a wide range AI-based applications in data c

Demand for Quantum Computing as a Service

The enterprise demand for quantum computing is still in its early stages, growing slowly. As the technology becomes more usable, we may see demand evolve beyond scientific applications. The global quantum computing market is forecast to grow from $1.1 billion in 2022 to $7.6 billion in 2027, according to the latest worldwide market study by International Data Corporation (IDC). That's a five-year compound annual growth rate (CAGR) of 48.1 percent. The forecast includes base Quantum Computing as a Service, as well as enabling and adjacent Quantum Computing as a Service. However, this updated forecast is considerably lower than IDC's previous quantum computing forecast, which was published in 2021, due to lower demand globally. Quantum Computing Market Development In the interim, customer spend for quantum computing has been negatively impacted by several factors, including: slower than expected advances in quantum hardware development, which have delayed potential return on inve

Industrial Cloud Computing Apps Gain Momentum

In the manufacturing industry, cloud computing can help leaders improve their production efficiency by providing them with real-time data about their operations. This has gained the attention of the C-suite. Total forecast Industrial Cloud platform revenue in manufacturing will surpass $300 billion by 2033 with a CAGR of 22.57 percent, driven by solution providers enhancing platform interoperability while expanding partner ecosystems for application development. ABI Research found the cloud computing manufacturing market will grow over the next decade due to the adoption of new architectural frameworks that enhance data extraction and interoperability for manufacturers looking to maximize utility from their data. Industrial Cloud Computing Market Development "Historically, manufacturers have built out their infrastructure to include expensive data housing in the form of on-premises servers. The large initial upfront cost of purchasing, setting up, and maintaining these servers is