Categories: NewsTechnology

IBM Will Task its Watson AI with Datacenter Operations

IBM finds themselves in a bit of an awkward position. They have a fair amount of employees working on their Watson AI to ensure the project becomes better over time. At the same time, any improvements made to Watson AI will only reduce the number of human employees. The company wants so use Watson to slowly phase out small amounts of engineers as well.

The Battle Between AI and Human Operators

Advances in artificial intelligence

 are tools developed by humans, but are more than capable of replacing those people who helped build it. That sounds wrong on many different levels, yet there is very little one can do about it. IBM is at least honest about its intention with the Watson AI, which now includes slowly replacing human data center engineers.

When IBM customers need to access customer support, they often have to get in touch with a human worker. This process is pretty straightforward,  but coming to a solution can often require some back-and-forth communication. This process can be streamlined and improve upon in every possible way by using artificial intelligence to minimize the disruption time.

AI can, in theory, predict when an outage may occur and the necessary measures to prevent it from happening or affecting too many customers. Having a solution capable of taking corrective action or even reroute network traffic in a split-second can save IBM millions of dollars every year.

Related Post

IBM plans to follow this path in an effort to retain its market share in IT infrastructure management. Even though the company has been rather progressive in recent years, they still struggle with switching older products to AI and the cloud. There is stiff competition in these departments as well, which is not making matters any easier right now. Beating the competition to the punch is the top priority for IBM.

This is another example of how the company is cutting jobs on a regular basis. The company announced major lay offs last year, which was seemingly done to shift focus on cloud computing and AI. This new emphasis on AI has nothing to do with balancing the work or creating labor efficiency. The company wants to make an impact on the IT infrastructure, which often requires decisions like these.

Automating processes such as analyzing network performance data makes a lot of sense. It will improve the overall workflow, reduce issues customers have to contend with, and improve IBM’s position in the market. It is a win-win situation for all parties involved, even though it may lead to more people losing their job in the process.

JP Buntinx

JP Buntinx is a FinTech and Bitcoin enthusiast living in Belgium. His passion for finance and technology made him one of the world's leading freelance Bitcoin writers, and he aims to achieve the same level of respect in the FinTech sector.

Share
Published by
JP Buntinx

Recent Posts

BDAG’s $20 Target Outshine DOGE and LTC Predictions

Best Crypto Investment: BlockDAG Sets $20 Price Goal for 2027, Outpaces Dogecoin and Litecoin with…

25 mins ago

BDAG Enhances Payment Options & Outperforms BNB & LTC

BlockDAG Launches Advanced Payment Options With Predictions To Hit $10, Surpassing Litecoin and Binance Coin.…

5 hours ago

Investor Frenzy: BEFE Coin Price Expected to Pump

The crypto market is finally back in full swing and is abuzz with rising price…

12 hours ago

Bitgert Coin: May 2024’s Top-Trending Cryptocurrency

Taking a look at the crypto market today, there's a lot of coin influx and…

13 hours ago

XERA, a Beacon of the Future For its Global Community

In the ever-evolving landscape of technology, some companies rise above the noise, not just for…

13 hours ago

Boost your crypto trading game and grow passive income with ValueZone

In the ever-evolving world of cryptocurrencies, the concept of cryptocurrency trading bots has attracted a…

17 hours ago