2017年-德勤全球_Cognitive_technologies_survey_25页_754kb

Summary of the 2017 Deloitte State of Cognitive Survey

Core Content

The 2017 Deloitte State of Cognitive Survey explores the adoption and impact of cognitive and AI technologies in business. It focuses on 250 "cognitive-aware" leaders within "cognitive-active" companies, who are early adopters of these technologies. The survey highlights the growing enthusiasm and investment in cognitive technologies, as well as the challenges and opportunities they present.

Main Points

Cognitive Technologies Overview

Cognitive technologies encompass a range of AI capabilities, including:

• Machine learning and deep learning for data analysis and pattern recognition
• Natural language processing/generation (NLP/G) for understanding and generating human language
• Speech recognition for converting spoken words into text
• Robotic process automation (RPA) for automating repetitive, rules-based tasks
• Computer vision for interpreting visual data
• Rule-based systems and expert systems for automating decision-making
• Physical robots for performing tasks in unpredictable environments

These technologies are being used to enhance products and services, optimize internal operations, support human decision-making, and improve customer interactions.

Expectations and Outcomes

• High enthusiasm: 87% of respondents believe cognitive technologies are "important" or "very important" for product and service offerings, and 92% for internal processes.
• Transformative potential: 76% believe cognitive technologies will "substantially transform" their companies within the next three years.
• Positive workforce impact: 69% of companies anticipate minimal to no job loss, and 56% expect substantial or moderate changes in job roles and skills.
• Job creation: 28% of respondents anticipate new ways of working and job creation due to cognitive technologies.

Investment and Deployment

• Investment levels: 12% invest $10 million or more, while most companies have invested between $500,000 and $10 million.
• Deployment focus: Most companies are focusing on IT (64%) and product development/R&D (44%) for cognitive investments.
• Pilot programs: 34% of respondents have 3 to 5 pilots underway, and 31% have 1 to 2 production implementations.

Adoption Strategy

• Portfolio approach: Many companies are adopting a balanced strategy, using cognitive technologies for both incremental improvements and transformative innovation.
• Vendor reliance: 58% of companies use cognitive software from vendors, while only 20% develop their own cognitive applications.
• Talent and expertise: A shortage of skilled professionals remains a challenge, with 35% of respondents citing the lack of expertise as a barrier.

Challenges

• Integration: 47% of respondents find it difficult to integrate cognitive technologies with existing systems and workflows.
• Cost and expertise: 40% feel the cost and expertise required are too high.
• Understanding and awareness: 37% of respondents note that managers lack understanding of cognitive technologies.

Future Outlook

• Long-term optimism: The majority of respondents are optimistic about the future impact of cognitive technologies, expecting them to become more important to business strategies.
• Workforce evolution: While some fear job displacement, the survey indicates that reskilling and new job creation are likely to offset job losses.
• Technology readiness: Only 9% of respondents believe cognitive technologies are overhyped, while 43% think they will eventually become mainstream.

Key Information

• Survey Focus: The survey targeted "cognitive-aware" executives from U.S. companies with at least 500 employees, primarily in technology, media, telecom, consumer, and industrial products sectors.
• Respondent Profile: Most respondents were C-level executives (72%), with a significant portion (74%) being experts or having an excellent understanding of cognitive technologies.
• Benefits Achieved: 83% of respondents reported either moderate or substantial benefits from cognitive technologies, with the most experienced companies reaping the greatest rewards.
• Job Impact: While job loss is anticipated by a minority, the majority of companies expect job creation and reskilling as a result of cognitive adoption.

Conclusion

The 2017 Deloitte State of Cognitive Survey underscores the transformative potential of cognitive and AI technologies in business. Early adopters are optimistic about their impact on product development, internal operations, and customer engagement. Despite challenges in integration, cost, and expertise, the majority of respondents see these technologies as a strategic priority and expect them to evolve and become more central to business operations in the coming years.