Data is often siloed by rigid architectures that separate information according to functional area and data type. This often results in splintered views and difficulty accessing data, ultimately limiting the value of analytics. In this track you’ll learn how to collect data of every type, regardless of where it lives in your organisation, to help enable flexibility in the face of ever-changing data sources. With new high-performance data virtualisation technology, you can now access data across multiple types, sources and locations within a single view. This real-time virtualised data helps simplify how you fuel your AI initiatives without moving data, dealing with the complexity of data duplication, the cost of additional storage or extract, transform, load (ETL).

DataOps (data operations) is the orchestration of people, processes, and technology to rapidly deliver trusted, business-ready data to data citizens, operations, applications and artificial intelligence (AI). Discover how you can organise all your data into a business-ready foundation with built-in governance and protection. By automating data cataloguing, preparation and quality controls, you can deliver a self-service data pipeline designed to improve data scientist productivity. This automation also helps ensure the data that fuels your AI is secured.

Analyse your data in smarter ways and empower your team to gain new insights and make more informed decisions. With AutoAI technology, you can automate the majority of the AI lifecycle, from data preparation to model creation, through to optimising operational explainability, bias mitigation and accuracy. Discover how you can simplify the AI lifecycle of preparing data and building, deploying and managing your models.

While rethinking your business practices and workflows, consider applying prebuilt enterprise AI applications that speed up time to value across key domains, such as customer service, financial planning, risk management and IT operations. Discover how you can infuse AI into your workflows to predict and shape future outcomes, automate complex processes, and optimise your employees’ time.

Modernise and simplify how you collect, organise and analyse your data within a multi-cloud platform - while unifying your AI models with the data they need. The combination of IBM’s proven framework, open platform and deep industry expertise can help you build a successful AI strategy, optimise talent and deploy AI capabilities at scale to help achieve the innovation, speed and agility your business needs.