How artificial intelligence is revolutionising business in 2017
- 84% of respondents say AI will enable them to obtain or sustain a competitive advantage.
- 83% believe AI is a strategic priority for their businesses today.
- 75% state that AI will allow them to move into new businesses and ventures.
These and many other fascinating insights are from the Boston Consulting Group and MIT Sloan Management Review study published this week, Reshaping Business With Artificial Intelligence. An online summary of the report is available here. The survey is based on interviews with more than 3,000 business executives, managers, and analysts in 112 countries and 21 industries. For additional details regarding the methodology, please see page 4.
The research found significant gaps between companies who have already adopted and understand Artificial Intelligence (AI) and those lagging. AI early adopters invest heavily in analytics expertise and ensuring the quality of algorithms and data can scale across their enterprise-wide information and knowledge needs. The leading companies who excel at using AI to plan new businesses and streamline existing processes all have solid senior management support for each AI initiative.
Key takeaways include the following:
72% of respondents in the technology, media, and telecommunications industry expect AI to have a significant impact on product offerings in the next five years
The technology, media and telecommunications industry has the highest expectations for AI to accelerate new product and service offerings of all industries tracked in the study, projecting a 52% point increase in the next five years. AI-based improvements are expected to deliver Business Process Outsourcing (BPO) gains in the Financial Services and Professional Services industries as well. The following graphic compares expectations for AI’s expected contributions to business offerings and process improvements over the next five years by industry.
Customer-facing activities including marketing automation, support, and service in addition to IT and supply chain management are predicted to be the most affected areas by AI in the next five years
Demand management, supply chain optimisation, more efficient distributed order management systems, and Enterprise Resource Planning (ERP) systems that can scale to support new business models are a few of the many areas AI will make contributions to the in the next five years. The following graphic provides an overview of operations, IT, customer-facing, and corporate center functions where AI is predicted to contribute.
84% of respondents say AI will enable them to obtain or sustain a competitive advantage
75% state that AI will allow them to move into new businesses and ventures. The research shows that AI will be the catalyst of entirely new business models and change the competitive landscape of entire industries in the next five years. 69% of respondents expect incumbent competitors in their industry to use AI to gain an advantage. 63% believe the pressure to reduce costs will require their organisations to use AI in the next five years.
Despite high expectations for AI, only 23% of respondents have incorporated it into processes and product and service offerings today
An additional 23% have one or more pilots in progress, and 54% have no adoption plans in progress, 22% of which have no current plans. The following graphic provides insights into the current adoption of AI with survey respondents.
By completing a cluster analysis of survey respondents based on AI understanding and adoption questions, four distinct maturity groups emerged including Pioneers, Investigators, Experimenters, and Passives
19% of the respondent base is Pioneers or those organisations who understand and are adopting AI. The study says that “these organisations are on the leading edge of incorporating AI into both their organisation’s offerings and internal processes.” Investigators (32%) are organisations that understand AI but are not deploying it beyond the pilot stage. Experimenters (13%) are organisations that are piloting or adopting AI without deep understanding. Passives (36%) are organisations with no adoption or much knowledge of AI.
Pioneers and Investigators are finding new ways to use AI to create entirely new sources of business value
Pioneers (91%) and Investigators (90%) are much more likely to report that their organisation recognises how AI affects business value than Experimenters (32%) and Passives (23%). One of the most differentiating aspects of the four maturity clusters is understanding the differences and value of investing in high-quality data and advanced AI algorithms. Compared to Passives, Pioneers are 12 times more likely to understand the process for training algorithms and ten times more likely to comprehend the development costs of AI-based products and services.
Organisations in the Pioneer cluster excel at analytics expertise versus competitors and have exceptional data governance processes in place, further accelerating their AI-driven growth
Pioneers are excellent at change management, citing their senior management’s vision and leadership as a foundational strength in accomplishing their AI-based initiative Early adopter Pioneers are also adept at product development, capable of changing existing products and services to take advantage of new technologies.
61% of all organisations interviewed see developing an AI strategy as urgent, yet only 50% have one done today
The research found that regarding company size, the largest companies (those with more than 100K employees) are the most likely to have an AI strategy, but only half (56%) have one. The following graphic compares the percentage of respondents by maturity cluster who say developing a plan for Al is urgent for their organisation relative to those that have a strategy in place today.
70% of respondents are personally looking forward to delegating the more mundane, repetitive aspects of their jobs to AI
84% believe employees will need to change their skill sets to excel at delivering AI-based initiatives and strategies. Taking this approach provides career growth and a chance to become more marketable for many whose jobs that are being increasingly automated. Cautious optimism regarding AI’s effects on employment dominates early adopter organisations, not dire fatalism. The bottom line is that AI is providing opportunities for career growth that will only accelerate in the future. Those that seize the chance to learn and earn more will end up having AI removing the mundane tasks from their jobs, leaving more time for the most challenging and rewarding work.
Editor's note: To read more about artificial intelligence news, analysis and opinion, visit our sister publication AI News.
- » HPE secures Nutanix and Google Cloud hybrid cloud partnerships
- » SD-WAN and cloud: A marriage made in heaven or a match made in hell?
- » Operating and maintaining systems at scale with automation: A guide
- » A guide for database as a service providers: How to stand your ground against AWS – or any other cloud
- » The five key things every executive needs to know about identity and access management