Innovate with AI & more
The data space is ever-growing, with new challenges arising periodically in relation to the velocity, variety and volume of data being generated by users and apps. To extract optimum value from all of this data, new ideas and methods, are constantly being researched and brought to the table. The trend is inclined towards Big Data, AI and their counterparts.
At Onepoint, we believe in contributing to the novelties of the data space in a number of ways:
- Keeping abreast of new trends and technologies, through the cycle of experimentation, application and learning
- Bringing efficiency and innovation in data design for clients
- Giving back to the ecosystem
Innovating with AI
Data is everywhere and is being generated at a rate never seen before. Businesses are waking up to the importance of using data in a worthwhile way, including how to monetise it. Human beings and traditional tools are slow to analyse and get insights from data. New techniques are required to deal effectively with such large amounts of data.
Machine learning (ML) is a technology where machines can learn from massive amounts of data, such as tabular structured data, videos, images, audio and text documents. This technology, based on intelligence, adds value by achieving much better accuracy and performance than human beings in the vast majority of cases. ML allows valuable insights to be revealed that would previously have been missed.
We can help in creating AI models in areas such as:
- Price and sales optimisation
- Security and threat analysis
- Customer services and Sentiments
- Smart lead generation
- Process automation
In this era of digital transformation, we continuously witness an increase in the volume of enterprise data, and consequently, the rise in analytical processing, and the adoption of machine learning for meeting business needs. Thus businesses look for faster and more efficient crunching of large datasets in the entire data processing cycle – from data collection to warehousing, to analysis or training models, to visualisation.
Different ways of crunching data have evolved from time to time – Massively Parallel Processing (MPP), distributed computing like MapReduce, etc., which had the capabilities of using the power of several machines as a cluster. Another emerging technology – GPU accelerated databases – can provide even better performance using parallelism in a single machine.
Onepoint can help in designing data processing workloads (analytical or warehouse) that can take advantage of GPU databases to achieve high performance and efficiency. The services around GPU databases involve:
- Conducting ‘Proofs of Concepts’ (PoCs) to benchmark and verify GPU needs
- Selecting and implementing uses cases with the right GPU database
GPU databases
Data science
As technology and data are changing rapidly, enterprises require skilled people that combine the business domain view, statistics expertise and programming skills in a single entity. Understanding all aspects of data is essential to prepare for analysis and to build intelligent predictive models.
Making the process of data preparation, building artificial intelligence (AI) models and the deployment intelligence rapid and productive is critical. To accomplish this, we work with business experts using our design thinking approach, to quickly understand the users, the enterprise needs, and the data.
We can help in data preparation and intelligent modelling expertise:
- Data collection
- Model creations
- Data processing
- Model optimisation & Evaluation
- Data feature engineering
- Model deployment
Start your journey with a Onepoint Springboard™ AI workshop
Explore how your organisation could innovate with artificial intelligence, machine learning, and more with our senior advisors and technologists during a half-day structured workshop held at our offices in London, or virtually.
These workshops are a simplification of our Design Thinking (and Doing!) approach, part of our Rapid Value Method that is designed to drive towards your chosen business outcomes quickly.
With a multi-disciplinary team from your organisation, we uncover your innovation opportunities, explore ideas and priorities, and outline how to prove a chosen concept quickly. If it makes sense as a next step, a rapid prototype (PoC) can potentially be co-funded by Onepoint.
There’s no obligation to continue the journey with us after the workshop. A fresh, independent perspective on innovative options, approaches, and recommendations are yours to keep!
Outcomes & outputs
The key outcomes are to develop a better understanding of your AI opportunities and to establish a shortlist of prioritised ideas. You will also understand where Onepoint can add value to quickly get you to your desired business outcomes.
Outputs of the workshop will be a number of big ideas or use cases; a prioritised shortlist with potential solution options, and an outline action plan to test real business value.
Typical agenda
09:30 Introduction & briefing (includes ice breaker and basics of Design Thinking)
10:30 Understanding & building empathy with the user
11:30 Define problem area(s), generate ideas, priorities, and solution options
13:00 Vegetarian buffet lunch (for visitors in our London office)
Typical attendees
These workshops work best with multi-disciplinary participants. Our clients typically involve representation from many corners of the business, including strategy, customer care, marketing, sales, operations, IT, data, and finance.
From our side, we typically involve business, data science, and technology experts. We will also involve any relevant advisors or technologists relevant to your topic. We can discuss attendees and customise the workshop to your requirements during a preparatory call.
