Data teams that are more agile and adaptable will be better equipped to stay competitive and realize the benefits of AI across the enterprise.

The ever-changing nature of business over the past year convinced enterprises across industries of the necessity of data and AI in decision making. However, not everyone has mastered how to use these tools effectively yet. Many enterprises still struggle with formulating the strategic business advantage they can unlock by applying AI, let alone developing and deploying AI solutions. Venturing an educated estimate, I’d say we are probably less than 5% down the path of achieving the full potential of AI across enterprises.

Recently, I’ve thought more broadly about what industry changes we’ll see this coming year — what opportunities are available for the data and AI industries, and what challenges teams will need to overcome. Looking ahead, I believe there are three key steps enterprises will need to take to stay competitive and face what the next year will bring.

#artificial intelligence technologies #big data #big data platforms #data management #data scientist

3 Essential Ingredients to Achieving Data Dominance in 2021 - RTInsights
1.10 GEEK