As technology has evolved to become more accessible (as it always does!), the power of AI has grown such that it can now be utilised and applied by a range of consumers, students, scholars and professionals.

At Wolfram, we are accelerating this democratisation of AI by automating challenging parts of the process, allowing non-experts to complete AI and machine learning projects with ease. With Wolfram's easy-to-use neural networks, automated classification and variety of other tools used in AI development, users have more time to focus on the application and fulfilment of the goals of their projects, rather than having to research, recall and implement all of the computational minutiae.

With anyone now able to tap into the seemingly infinite power of cloud-hosted computers, personal computing hardware is no longer a restricting factor. With the Wolfram Language, this accessibility revolution has arrived in the world of software too. Rather than reserving power for the experts, the Wolfram Language provides a complete pipeline allowing anyone with elementary programming skills to draft an idea, apply the correct tools and then publish that to a shareable document or cloud application.

With complete symbolic representation of neural networks and automatic algorithm selection within machine learning frameworks, developing AI-based tools couldn't be easier.

So, does this mean data scientists are going to be automated away, in part by the incredible tools they themselves created? Not at all! There will always be the potential and the opportunity to develop and refine these tools, for example with new groundbreaking neural networks and by identifying and creating new applications for AI.

Data scientists can use the Wolfram Language to make the development of new tools as fast and efficient as possible. The notebook interface, ready-to-use neural networks, automated GPU training and easy function calls allow data scientist to learn and prototype rapidly and accurately.

Beyond creating tools that empower the rest of us, the real value of expert data scientists is in the imagination of application. By lifting the burden of repetitive manual report creation, complex programming and deciphering large datasets, the Wolfram Language allows data scientists to do what they do best.

Article by Craig Cowley, Wolfram

To learn more about the democratisation of AI, come along to a talk given by one of Wolfram's resident technical specialists, Mark Braithwaite: "AI: Lessons Learned from the Front Line" on Thursday 14 November at 10:30am in the AI Lab Theatre at Big Data LDN 2019 at Olympia, London. Mark will share experiences from Wolfram Research Technical Services projects across a range of industries to distil some key lessons learned.

If big data hasn't led to better decisions at your organisation, then come to the talk given by Conrad Wolfram, Wolfram's strategic director and European cofounder. From the core idea of symbolic computation to computable data, notebook interfaces, the latest in highly automated AI and computational knowledge, Conrad will showcase how a multiparadigm approach can accelerate innovation and unlock actionable insights­—including live demos in the Wolfram technology stack.

Wolfram will also be at stand 430, and we'll be bringing our in-house experts on data science, machine learning, AI and a bit of everything else! We would love for you to come along and discover how you can harness the power of the Wolfram Language.