Innovate with AI & more
The data space is ever growing with new challenges, periodically, to deal with the velocity, variety and volume of data being generated by users and apps.
New ideas and methods to extract optimum value from all of this data, are constantly being researched and brought to the table – the trend being inclined towards Big Data, AI and synonyms.
At Onepoint, we believe in contributing to the novelties of the data space in a couple of ways – one is by keeping abreast with the new trends and technologies through the cycle of experimentation, application and learning. Second is to bring in efficiency and innovation in its data design for clients and the last one is to keep contributing 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 it. New ways are required to deal effectively with such large amounts of data.
Machine learning (ML) is a technology where machines have the capability to 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. .
In this era of digital transformation, we continuously witness an increase in volume of enterprise data, and consequently the rise in analytical processing, and adoption of machine learning for meeting business needs. Thus businesses look for faster and 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 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
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 effective is key. To accomplish this, we work with business experts using our design thinking approach, to quickly understand the users, the enterprise needs, and the data.
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 quickly drive towards your chosen business outcomes.
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 short list with potential solution options, and an outline action plan to test real business value.
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)
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.
These free workshops are a simplification of the Design Thinking (and Doing!) approach to identify end user or customer challenges (use cases) faced by our clients. For more information on Design Thinking at Onepoint click here.
In the half day workshop we cover the AI challenging use cases, the collaborative ideation of a possible solution, and potentially plan how to build a quick prototype (PoC) which can be free or co-funded by Onepoint. In order to get maximum value from the workshop a call will be required with the client to prepare and plan, including gathering all necessary materials.
Outcomes & outputs
Key outcome is to develop a better understanding of the AI challenges and where Onepoint can add value.
Outputs of the workshop will be a number of identified challenging areas use cases with potential solutions and an action plan for the next stage to be prototyped to test the real business value.
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 and Potential Solutions
13:00 Vegetarian Buffet Lunch (optional)
From our side, we will involve AI experts including Enterprise Analysts and Enterprise Architects whenever necessary. We will also involve any other relevant advisors or technologists relevant to your topic.Ask us about a custom workshop