{"id":515360,"date":"2024-04-18T17:01:03","date_gmt":"2024-04-19T00:01:03","guid":{"rendered":"https:\/\/www.genesys.com\/blog\/post\/harnessing-the-power-of-ai-with-a-move-to-the-cloud"},"modified":"2024-04-18T17:03:54","modified_gmt":"2024-04-19T00:03:54","slug":"harnessing-the-power-of-ai-with-a-move-to-the-cloud","status":"publish","type":"blog","link":"https:\/\/www.genesys.com\/en-sg\/blog\/post\/harnessing-the-power-of-ai-with-a-move-to-the-cloud","title":{"rendered":"Harnessing the Power of AI with a Move to the Cloud"},"content":{"rendered":"

[vc_section full_width=”stretch_row”][vc_row][vc_column][vc_column_text]It was a startling outcome back in 2011 when<\/span> IBM Watson<\/span><\/a> trounced two Jeopardy champions in a highly anticipated match-up. It took IBM years of preparation and loading a roomful of servers with 200 million documents to get Watson in fighting shape.\u00a0<\/span><\/p>\n

Audiences were in awe of its cognitive power and speed. Watson showed us a new level of artificial intelligence (AI). Yet, most of us never imagined how much farther AI could take us or the massive growth of data created by AI.<\/span><\/p>\n

The future has arrived. Businesses will soon be operating in a world of hundreds of yottabytes. For context, according to Backblaze<\/a>, a yottabyte of storage would require a million data centres. (Watson, in its winning debut, used 1 TB of data.)<\/span><\/p>\n

The scale is a fundamental challenge for businesses. They need to manage, store and secure all that data. It\u2019s a necessary element in driving differentiation. And it allows them to make every byte available to every authorised user \u2014 at any time.<\/span><\/p>\n

Why Your Data Is Gold<\/h2>\n

Data is often likened to gold for businesses. In our digital age, it has massive value. It\u2019s the fuel for AI and it\u2019s how AI learns.<\/span>\u00a0<\/span><\/p>\n

From your data, AI can identify patterns, make predictions, and generate insights<\/a> that inform and drive decisions and innovation. The more data AI has access to, the better it can serve businesses.<\/span><\/p>\n

However, data isn\u2019t necessarily useful in its raw form. It needs to be collected and normalised to get those golden insights.\u00a0<\/span><\/p>\n

And with data sources widely dispersed across multiple platforms and often unstructured, there\u2019s little opportunity to see what\u2019s going on with your customers at the experience level. And it\u2019s nearly impossible to understand the relationship between the employee experience and customer experience (CX).<\/a>\u00a0<\/span><\/p>\n

Accessing massive volumes of data from multiple sources also complicates its management and governance, including privacy, security<\/a> and ownership. Successful companies treat data with care and urgency. It\u2019s your asset; if it\u2019s not being used properly, how many opportunities are you losing?<\/span><\/p>\n

The Urgency of Moving to the Cloud<\/strong><\/h2>\n

Even companies that don\u2019t operate in the cloud understand the need and that adoption of the cloud is all but unavoidable in the long run. The cloud offers clear advantages:<\/span><\/p>\n