This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Why does AI need an open data lakehouse architecture? Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026. Later this year, watsonx.data will infuse watsonx.ai
In 2023 alone, IBM Consulting has interacted with more than 100 clients and completed dozens of engagements infusing generative AI alongside classical machine learning AIstrategies. IDC 1 estimates the AI Services market will grow from approximately $36 billion USD in 2023 to approximately $65 billion USD in 2026.
Training Bias: AI relies on historical data that can contain all sorts of discriminatory samples. How to Reduce Bias in AI Models Experts estimate that by 2026, 90% of the online content could be synthetically generated. Hence, it is vital to rapidly minimize issues present in Generative AI technologies.
This multi-pronged approach allows them to develop custom AI solutions tailored to their specific needs, automate processes, gain data-driven insights, and drive innovation across different areas, ultimately seeking to gain a competitive advantage in their respective sectors. To do this, governments are harnessing AI in two primary ways.
The government’s commitment to supporting AI is evident through significant investments. In 2022, the UK government unveiled a National AIStrategy and Action Plan—committing over £1.3 This support aims to enhance the UK’s infrastructure to stay competitive in the AI market. In 2022, £18.8
Case in point: research from Gartner recently indicated that by 2026, organizations embracing AI transparency can expect a 50% increase in adoption rates and improved business outcomes. Adopting an informed consent modelwhere customers can opt in or out of AI featuresputs them in the drivers seat. It needs regular checkups.
According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content