Rethink your AI strategy to address Digital Ethics during uncertain times
Cracking the “do-no-harm" code with your AI practice.
Digital transformation means gleaning every insight, every efficiency, every opportunity to succeed in your market from your systems, your people, your processes and, most importantly, your data. If your business is like most organizations, you don’t suffer from a lack of data – but you may be short on insights.
<p>Artificial intelligence, cognitive computing and machine learning can only deliver on the promise of those revolutionary insights if they have high-quality data to act on. You’ve heard the saying “garbage in, garbage out.” This clearly applies to your data management, data governance and data quality practices.
One of the first steps to enable data and AI is for you to get your data in the right shape and put in place an ethical AI framework according to an Avanade AI Maturity study. With the right framework, you will be able to organize your data, manage, govern, secure and industrialize it to gain a key competitive distinction in today’s digital world.
“Avanade helped us choose the right technologies, define how we should use those technologies in combination, and get the concepts right. They helped develop our functional design and have been valuable partners and trusted advisers in so many ways. Together, we’re bringing big ideas to life.”
The data landscape at many organizations has evolved over time. It now includes sensor/IoT data, imagery, real-time streams, social, historical and even document repositories to help solve business problems. Layering in AI capabilities adds to the need for good data management practices to accelerate business results.
Realizing those results requires a strategic view and outside-the-box thinking. You need to have quality data to address business problems, and you need to be managing it well to get what you need from it. The data management, data dictionary, data governance and quality standards you set can help you speed up problem solving.
Key to success is understanding who has the data today, who will own it tomorrow, and who will ensure it stays up to date and organized. What best practices will you create, and what services, platforms and resources will you use to build scale, efficiency and speed?
Avanade can help you answer those questions so you can standardize and operationalize your data and get the most from your existing data estate.
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Avanade has the depth and breadth of experience in data management, data governance, data quality and best practices to help you create a fully integrated program – one that can help you drive transformation, innovation and competitive advantage. From strategy and implementation to rollout and governance, we’ll support you every step of the way. We partner with you to:
Avanade was founded as a joint venture between Microsoft and Accenture. We’re a leading integrator and innovator of Microsoft data and analytics solutions. We have:
Find out more about how your business can benefit from better data management and governance.