AI services and advanced analytics to help you get more value
Although 90% of today’s businesses have adopted cloud, only one third are achieving the anticipated ROI. The most advanced companies understand that while cloud sets you up with next-level computing power and access to new kinds of data in the right quantity and quality, AI is the bridge to convert that data into business value. It’s no surprise the entire C-suite is now involved in the AI agenda and they’re asking what’s next.
That’s where Applied Intelligence comes in. We believe that cloud is the enabler, data is the driver, and AI is the differentiator. We bring them together to help you make smarter, faster decisions that help change your organization and enable growth—at scale. And because we understand that people are central to the success of any technology transformation, our global team of experts bring the cross-functional skills to both deliver business outcomes and facilitate cultural change — empowering your workforce to use data and AI responsibly.
We offer AI solutions and services that will help you achieve your business objectives faster, while setting you up for sustainable growth.
AI brings unprecedented opportunities to businesses, but also incredible responsibility. The output from AI systems has a real bearing on people’s lives, raising considerable questions around AI ethics, data governance, trust, and legality. The more decisions a business puts into the hands of AI, the more they accept significant risks, such as reputational, employment/HR, data privacy, health and safety issues. However, according to an Accenture global research study, 88% of respondents do not have confidence in AI-based decisions.
So how do we learn to trust AI?
Responsible AI is the practice of designing, developing, and deploying AI with good intention to empower employees and businesses, and fairly impact customers and society—allowing companies to engender trust and scale AI with confidence.
Minimize unintended bias
Build responsibility into your AI to ensure that the algorithms – and underlying data – are as unbiased and representative as possible.
Ensure AI transparency
To build trust among employees and customers, develop explainable AI that is transparent across processes and functions.
Create opportunities for employees
Empower individuals in your business to raise doubts or concerns with AI systems and effectively govern technology, without stifling innovation.
Protect the privacy and security of data
Leverage a privacy and security-first approach to ensure personal and/or sensitive data is never used unethically.
Benefit clients and markets
By creating an ethical underpinning for AI, you can mitigate risk and establish systems that benefit your shareholders, employees and society at large.