One of the biggest moments at GTC 22 was the long-anticipated unveiling of B.U.D.D.H.A. In this video, Marvin Kankiriho and Andrew Addison discuss the inner workings and wide-ranging benefits of the new ecosystem.
“B.U.D.D.H.A is a blueprint designed to enhance the understanding and the value of the businesses’ data” – Marvin Kankiriho
We know that data delivers unique insights for businesses, assuming it has been collected, analysed, and interpreted correctly. With the continued growth of a business, data becomes more plentiful, but the downside is that it can become increasingly difficult to keep track of and work with that data.
B.U.D.D.H.A brings a unique set of capabilities, tools, and skills to the table to combat this complex challenge that all modern businesses face. Designed with ease of use and implementation in mind, B.U.D.D.H.A leverages AI, machine learning, business informatics, and data science to make tangible differences to your business growth.
We Are AI: at Boston Limited, we strive to increase the efficiency of older components to build more effective AI ecosystems for our customers.
We are in the age of information, and much like oil, data must be refined to make full use of its potential:
Discover the data
Extract the data
Enrich and refine the data to garner insights
Build the pipeline required for distribution
The potential implementations are wide-reaching, however making this process efficient requires a set of high-level, reliable blocks:
Presentation – show and communicate data
- Helps make informed decisions, perform tasks on your behalf for example
Storage – retention, recall, and prioritise data
- E.g.: stores often used data separately from rarely used data
Security – Identify, authenticate data to protect against cyber threats
- Knowledge is power, so is data
Analytics and Business Informatics – more traditional data management
- Use of Excel or Tableau to make sense of information
Governance – track, trace, and process data
- Simplifies error prevention
AI and Machine Learning – data mining for soft and hard AI techniques
- Draws insight from and distils data
Perhaps your business already has some or all of these blocks within your ecosystem - most businesses do; however, the chances are , they are not fully optimised. B.U.D.D.H.A enhances those pre-existing blocks and suggests further improvements based on your specific requirements. It has been designed to be fully amorphus, fully modular, and platform agnostic.
Pre-existing supporting systems include:
Pre-existing team capabilities include:
Data scientists and engineers
System and security administrators
System and security software developers
Businesses are already pulling data from an ever-increasing range of sources, including:
Standard business applications/systems
Sub-systems and ICT infrastructures
Internet of things (IoT) sensors
Of course, businesses need to communicate their output with their audience via cloud applications, integrated vendor systems, or to policymakers. This is where B.U.D.D.H.A comes into play – it connects crucial parts of the processes, making them more efficient.
These may include:
Data responsibility and storage
Data Science and protection
B.U.D.D.H.A is the bridge to better data management
Data sources for businesses are virtually limitless. They can range from a simple CSV file to relational data, and everything in between. Much like Boston Ltd, B.U.D.D.H.A is an expert at data storage, and more than capable of managing data analytics and business intelligence such as data visualisation, prepping, or wrangling. In terms of data science, B.U.D.D.H.A supports data ingestion, model monitoring, and reporting, to name a few. It provides data lake solutions, such as Kafka connectors, ops managers, and aggregation pipelines, including other storage solutions including relational, columnar, and semantic.
Governance is at the heart of the B.U.D.D.H.A ecosystem, with capabilities including data lineage, impact analysis, and hierarchy management. B.U.D.D.H.A can also make suggestions around which resources should go where and when, to data engineers, analysts, scientists, software engineers, and governance managers.
How does it all work? Just as in other contexts, data flows in, is processed and flows out:
Data storage team – data and software engineers
Responsible for ingesting, cleaning, and preparing data, creating data source interfaces – maintaining and enhancing core components
Data science team – data scientists
They create insight models, test theories, de-duplicate data, remove ‘noise’
Business Intelligence team – data analysts
Takes refined data from previous teams to generate business reports, further insight, and knowledge
Governance – data administrators
Takes data from previous teams, classifies it, checks governance, and creates data views
Dev ops – maintenance personnel
Oversees rollout, migration, and coordination of front-end changes, integrates components, patching, testing, etc.
The applications are limitless
"The appliance of the science is what matters here" - Andrew Addison
The focus is on enhancing what your business already has, rather than throwing away existing infrastructure. For example, smart cities are closer than we think, and this technology could be implemented to improve home heating, irrigation, water control – the list goes on. Imagine a smart city developing a car parking mobile app and utilising the gathered data to enrich the life of every resident.
These are the steps data would be put through:
a. Where you are, where you want to go, how you want to park, for how long, when, etc.
b. Software and data engineers turn this data into usable formats.
a. With the use of existing patterns, business informatics can manage allocations, desires, and availabilities.
b. They will be able to communicate available parking spaces, traffic, prices, or optimal paths – or traffic alerts and warnings.
a. Data scientists can create a digital twin of the driver using AI and insight analysis.
b. This data can help the passenger as well as the city or town.
Visualisation reporting - includes three sets of people:
a. The driver/ passenger – the user experience is centred around them. They want to know how to get from A to B, the best route, and any relevant information.
b. Analysts and governance people – people who run the business day-to-day and further develop the product using the gathered data.
c. Management – who looks for issues and weak spots.
a. They manage where the gathered information goes. They would also look at parking policies in this context, long-term trends, and see if demand increased. This is an important part of the process as policymakers will have to be involved at one point.
Lastly, countries and councils must also report on the integrity of data. Furthermore, the ethics of gathering data must be carefully considered. Ethical AI is important, as ML ops and dev ops are being added. The ELT and ETL are used to gain insights on data that sits between the analysts and scientists and are useful to both teams. The admins, dev ops, and governance managers are the backbone of maintaining the day-to-day upkeep of the app. They will also enhance the product as more and more information comes in with use.
The question stands: how can this be widely implemented? AI challenges require a considerable amount of computational power – especially when those calculations need to be quick.
Boston is here to supply everything you need from hardware and software, to answers to burning questions, so you can seamlessly implement AI in your business.
Find out more by emailing us at [email protected] with the subject line B.U.D.D.H.A GTC, or by giving us a call on 01727 876 100.
To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available
| 29th 5 - 2nd June 2022, Congress Center Hamburg, Germany
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