2020 Predictions in Artificial Intelligence to Consider When Operationalizing AI Developments
With 2019 hardly fading in the rear-view mirror, it’s a good time to take a step back and see what’s in store for the next 12 months. For those managing and implementing AI and ML projects and deployments, it’s been a rapidly evolving ecosystem, and 2020 will be no different. Here are Appen’s six 2020 predictions in artificial intelligence worth keeping an eye on.Moving AI from POCs to Programs Still a Challenge
Many organizations continue to experiment with AI but seem to be making slow progress from proof of concept to active program phases. This is because there are still major roadblocks and hurdles to overcome before operationalizing AI at scale. We can expect this challenge to continue in 2020. IT leaders looking to get ahead will need to put extra effort into creating the right framework to move projects from POC to production and deliver business value, and that includes the correct algorithms and methods, the right training data, and a reliable way to measure success.Focus Moves to Optimizing Data and Analytics Investments

Responsible AI Becomes a Key Component of the Future of Work
Responsible AI, or the practice of ethical, transparent, and accountable use of AI technologies, will be at the forefront of conversations about the future of work in 2020. AI continues to transform learning and work environments, changing what work we do, and how that work gets accomplished. AI and ML practitioners should be prepared to answer how AI will improve the worker experience through the likes of developing new worker skills, supporting organizational competency in AI, and spearheading innovation. That’s not all – responsible AI should also extend to those that collect and label data. As explained in Appen’s Crowd Code of Ethics, it’s critical to support those that make AI and ML possible. This encompasses supporting fair pay, inclusion, crowd voice, privacy and confidentiality, communication, and well-being for our crowd.Broad Adoption of AI for Customer Service
