According to Gartner, artificial intelligence will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally in 2022. Many companies are aiming for an AI-first strategy where machine learning, in addition to optimizing business processes, is now also being used to rethink business strategies. An AI-first approach strategy makes AI the core of the company used to optimize forecasting, customer support, marketing, product, manufacturing, fault detection, and to learn about customer preferences and innovative ways to create competitive advantage.
In the ideal world, AI would be assisting with every phase of decision making fully embedded into systems and fully transparent to employees and customers. But to achieve this goal, fundamental changes need to take place including a top-down shift in mindset, as well as implementation of MLOps tools to help IT teams to overcome technical hurdles that can prevent AI from reaching its full potential.
Here are five steps a company can take to shift to an AI-first strategy
1. Make AI the center of the business – Successful adoption of AI relies on strong executive-leadership support. Cross functional teams are put in place where subject matter experts such as radiologists or insurance specialists are on board, in addition to technical contributors. A full range of professionals that have touchpoints with AI projects including business users, software engineers, data scientists, data analysts, testers, architects, and product managers need to be involved so organizations can leverage AI faster and machine learning models can move into production more smoothly.
Continue reading: https://www.datanami.com/2022/02/22/five-ways-to-shift-to-ai-first/
In the ideal world, AI would be assisting with every phase of decision making fully embedded into systems and fully transparent to employees and customers. But to achieve this goal, fundamental changes need to take place including a top-down shift in mindset, as well as implementation of MLOps tools to help IT teams to overcome technical hurdles that can prevent AI from reaching its full potential.
Here are five steps a company can take to shift to an AI-first strategy
1. Make AI the center of the business – Successful adoption of AI relies on strong executive-leadership support. Cross functional teams are put in place where subject matter experts such as radiologists or insurance specialists are on board, in addition to technical contributors. A full range of professionals that have touchpoints with AI projects including business users, software engineers, data scientists, data analysts, testers, architects, and product managers need to be involved so organizations can leverage AI faster and machine learning models can move into production more smoothly.
Continue reading: https://www.datanami.com/2022/02/22/five-ways-to-shift-to-ai-first/
