8 AI Predictions for 2018 to Shape Business Strategy
PwC has come up with 8 business predictions for 2018 based on current trends and industry feedback.
- Susan Summary
- 30 Jul
It is impossible for anyone to accurately predict how the next several years will unfold in relation to AI, given its complex nature and rapid rise. But, it is possible to make specific predictions about AI trends for 2018 and analyze its key implications for business, government, and society. Based on insights from AI visionaries and PwC’s own advisory experience, the firm has come up with 8 such predictions.
AI will impact employers before it impacts employment
The job market will not be hit, but work’s nature will change. Loss of manual and repetitive jobs will be offset by new jobs performed by centaurs (human-machine hybrids). To prepare, business will need to bring together teams and data from different disciplines. Many organizations will need to start retooling.
AI will ramp up its presence in the workplace
Automation of complex processes, identification of trends and forward-looking intelligence will mean less busywork for humans and better strategic decisions. Organizations will want to figure out specific problems AI can help solve; new measures to assess business value will be needed.
AI will help answer the big ROI question about data
With data now being used to solve specific business problems, development and funding of AI solutions that draw heavily on data will get easier. Firms’ data infrastructure will have to be put into order.
AI talent race will not be decided by technologists alone
An increasing need will be felt for domain experts: retail analysts, engineers, accountants, etc., who can prepare and contextualize data, and work with AI experts. These employees will need to be trained for the specific data skills needed.
AI will make cyberattacks more damaging, and cyberdefense more effective
Pattern interpretation techniques like machine learning, deep learning, and neural networks also make it easier for hackers to find and exploit vulnerabilities, forcing businesses to start thinking about AI’s security applications. Cyberdefense may be the portal through which many enterprises get their first taste of AI.
AI’s Black Box will become a priority
Growing pressure from end users, clients, and regulators, counterbalanced with the costs involved, will mean companies will need an assessment framework to determine how much information each AI application should produce about its decisions.
AI will see nations sparring over it
China may take the lead; Canada, Japan, the UK, Germany and the UAE will do well too. International collaboration is on the horizon in some areas. Governments will need to increase funding; companies will need to keep an eye on the international competition.
AI’s responsible use will not be tech companies’ responsibility alone
With an emerging global consensus around responsible AI, public and private sector institutions are likely to collaborate on AI’s societal impact. Businesses might collaborate to form self-regulatory organizations.
ZIGNAL LABS - ZIGNAL API
Integrate rich data and insights from the Zignal platform to paint a holistic picture of the business and inform strategic decision making.
VIGILENT - DYNAMIC CONTROL
Automatic, real-time thermal management.
SIGHT MACHINE - SMART MANUFACTURING PLATFORM
Sight Machine enables companies to gain real-time visibility and actionable insights for every part, machine, line, and plant throughout a manufacturing enterprise.
INDATA LABS - AI-POWERED TEXT ANALYSIS
We develop intelligent and flexible text analysis software powered by state-of-the-art natural language processing techniques.
IDIO - WEB CONVERSION OPTIMIZATION
Deliver the right message to every buyer every time, automate personalization without sweating on manual rules, and use data instead of opinions to solve who gets what content.