IBM unveiled key developments for the company during the annual analyst forum in New York and the AI-first strategy was one of the key subjects.
IBM has more focus these days under Krishna’s leadership, according to the experts. Watson 2.0 or watsonx is much more focused than before, now targeting real problems.
Under Krishna’s leadership, IBM has also grown its hybrid cloud strategy using OpenShift the leading container platform .
IBM has realized $1.6 billion in cost efficiencies to date, with approximately half of that attributed to AI deployment.
Snowflake and Databricks are at war over who is more open. They are both AI giants and will be very important companies, according to the experts.
The industry is looking at nuclear power and if power can come online, then the limitations around power for AI oriented machines goes away.
If Nvidia, which supposedly draws a lot of power, requires even more power in the future version, the power demand for the AI industry will be huge.
IBM’s stock is at an all-time high, according to the experts, indicating the company is back on track.
IBM, aiming to achieve $3 billion in efficiencies in 2025, has said that 75% of its service queries to IBM are now addressed through AI-powered self-service platforms.
Experts feel journalistic exploration of escalating wars of words such as between Snowflake and Databricks, though not to promote hostilities, can be beneficial in understanding their contributions to the growing market around AI.