A new study published in The Lancet Oncology found that AI-assisted mammogram screening increased breast cancer detection by 20% and reduced radiologists’ workload by 44%. The study, which analyzed scans from over 80,000 women in Sweden, is thought to be the first randomized control trial to compare AI-assisted breast cancer detection with detection done by well-trained humans alone.
According to Gartner, worldwide contact center and conversational AI and virtual assistant end-user spending is projected to reach $18.6 billion in 2023, with a 16.2% increase from 2022. Conversational AI capabilities are receiving greater investment as contact center decision-makers look to incorporate conversational AI as part of a long-term strategy to reduce reliance on live agents. Gartner expects CCaaS investment growth to accelerate as decision-makers implement cloud-based contact center capabilities to modernize customer service operations.
The global causal AI market is expected to reach over $543.73 million by 2032, with a CAGR of 40.3% during the forecast period. Causal AI focuses on understanding and modeling causal relationships between variables, allowing AI systems to make predictions and decisions based on understanding how variables influence one another. The growing adoption of big data analytics and increase in company funding drive the market’s growth, with the healthcare and life sciences segment accounting for the larger market share.
A recent IDC report found that two-thirds of technology executives are concerned about generative AI implementation’s consequences, including bias and disinformation. Despite this, over half of leaders say they are under high or significant pressure to deploy generative AI in the next year. However, 42% of executives say they have the skills to implement the technology in the next six to 12 months.
Despite known risks associated with generative AI, the majority of businesses aren’t working to abate them, according to a QuantumBlack, AI by McKinsey report. Over half of the respondents cited inaccuracy and cybersecurity as risks with generative AI, yet just one-third are working to curb security risks, and slightly fewer are addressing inaccuracies. According to the report, two in 5 organizations are planning to increase investments in AI overall due to advances in generative AI technology.
San Jose, California, has published guidelines for using generative AI tools like ChatGPT, including principles such as “privacy-first” and “equitable.” The 23-page document includes processes and instructions for city employees, a model for understanding risks, and a primer on technology issues. The guidelines were created with input from the city’s digital privacy advisory task force and are part of the city’s broader effort to ensure that potentially sensitive data is handled carefully.
Why do we care?
It’s easy to get lost in the hype and miss out on real productivity improvements. Increased cancer detection rates are a significant outcome. We’re looking for more examples and applications like this.
These markets are growing fast, and the pressure to deliver is real – and this is pressing forward without addressing customers’ concerns.
So the opportunity is to address the concerns! And there are resources, like San Jose’s, to use. Find the type of AI and the application of it that you can use with your customers, address their concerns as well as the increased productivity, and do so without having to reinvent the wheel. It’s the exact definition of what an integrator does.