Every enterprise has some data that is clean and useful. Don’t let poor data quality or quantity be an excuse to put off the journey to AI.
Quickly move from strategy to execution. Pick a starting point that makes sense for your organization and your business objectives. Execute quickly, show iterative results and earn the right to scale.
“A.I. is a powerful tool, and your organization will make changes in the ways it tackles problems in every area, as things will be easier when you can focus more closely on innovation and technology trends.”
1. Cybersecurity The enterprise attack surface is massive. There are countless permutations and combinations in which the adversary can get in. It is exceptionally hard for organizations to analyze and improve their security posture. With its power to bring complex reasoning and self-learning in an automated fashion at massive scale, AI will be a game-changer in how we improve our cyber-resilience.
2. DevOps And Cloud Hosting AI is starting to make its mark in DevOps. Currently, Amazon has rolled out machine learning for their Elastic Compute Cloud (EC2) instances, which applies to predictive instance autoscaling. Other cloud vendors are following suit with similar technology. Within the next 10 years, I see the same being applied to bigger things like code deployments and infrastructure provisioning.
3. Manufacturing Artificial intelligence in the world of manufacturing has limitless potential. From preventative maintenance to the automation of human tasks, AI will enable more efficient work that’s less prone to error and has higher quality. Initiatives from tech giants like Microsoft (AI for Accessibility) and smaller leading companies like AtBot will revolutionize AI for all information workers.
4. Healthcare Healthcare is only starting on its AI journey. Computer vision against X-rays shows promises to help pinpoint diseases; neuro-linguistic programming (NLP) shows promises in drug safety; ML shows promises to find patterns within a population. Once we reach a point of true information interoperability, supporting the secure exchange of health data, all these promises will join forces to become breakthroughs for the patients.
5. Construction The construction industry has long been underserved by the technology and software sector. Many new startups like ours are using AI in a big way to slingshot the construction industry into tomorrow. Bringing AI and machine learning into this industry will make the construction process faster, safer and more cost effective by reducing human error and better utilizing big data.
6. Senior Care With the aging Baby Boomer generation, we need solutions that provide continued efficiency for seniors to make them feel more confident about living alone or receiving support from their caregivers. AI can be able to understand the cultural, physical and emotional needs of people, it can provide updates to many outdated resources.
7. Retail The retail industry will be one that is most impacted by AI. Its global spending is expected to grow to $7.3 billion per year by 2022. Retailers will use augmented and virtual reality functionality in advertising. Immersive product catalog visualization will grow dramatically, and shoppers will experience products before buying. It’s predicted that by 2020, chatbots will power 85% of all customer service interactions.
8. Business Intelligence Enterprises are overwhelmed by the volume of data generated by their customers, tools and processes. They are finding traditional business intelligence tools are failing. Spreadsheets and dashboards will be replaced by AI-powered tools that explore data, find insights and make recommendations automatically. These tools will change the way companies use data and make decisions.
9. City Planning Infrastructure planning and development will get a big boost from AI. So much data can be processed and organized to help understand urban areas and how they are changing. AI data can also provide a different way of looking at growth and development, utility use, safety, and more.
10. Mental Health Diagnosis And Treatment We are starting to see an increase in mental health issues among young people. Whether it is device addiction or withdrawal from the physical world, some are starting to isolate themselves online. This can ultimately lead to a breakdown of social cohesion. I see potential in using AI to identify people at risk and recommend therapy before they fall into a hole of depression and hopelessness.
11. Education The basic concepts of education have not changed much across generations, and it is quite obvious that change is needed. The most pressing question is what that change should be and how to achieve it. Harnessing AI to create a personalized, dynamic and effective learning path for any subject can prove to be an amazing enabler for such a revolution.
12. Fashion Using AI to learn about buying patterns of users across the world and predict fashion trends would be a great implementation. Having a great recommendation engine backed by AI would help users tremendously.
13. Supply Chain Management AI can account for more factors and complicated nonlinear and correlated dependencies of data much better than a human can do. AI can predict the future without human bias, but with a proper risk assessment, and find optimal decisions even under asymmetric cost profile. This leads to improvements in every decision.