This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

Are you ready to lead the charge in modern data and analytics? The TDWI Data & AI Leaders Forum offers an exclusive, dynamic space for forward-thinking leaders to come together and tackle the ...

Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

AI can provide tangible benefits such as deeper insights, increased productivity, improved customer service, and greater operational efficiencies. However, to achieve these benefits, you need a solid ...

Many organizations are actively adopting artificial intelligence (AI) today, but there are numerous vulnerabilities and risks associated with AI adoption. As organizations scale their AI initiatives, ...

Data governance has become a critical success factor for organizations aiming to maximize the value of their data and analytics programs. With the rise of machine learning models and AI, governance ...

Data practitioners want to take advantage of emerging AI techniques, but they need access to quality data of diverse types that comes from across a distributed environment. Unstructured data, for ...

Since the introduction of GDPR, the regulatory landscape has transformed dramatically—driven by geopolitical shifts, technological acceleration, and growing concerns about data privacy, security, ...

Modern data platforms are central to business intelligence, advanced analytics, artificial intelligence, and other strategic enterprise applications such as operational reporting, decision support, ...

Organizations want to become more customer-centric, competitive, and digitally advanced, so marketing and marketing analytics have continued to increase in importance. Modern marketing depends on ...

AI is transforming the practice of data management through tools that automate many of the more routine tasks and augment the productivity of data engineers, data stewards, data platform managers, and ...