Digital Transformation

Adoption of Artificial Intelligence must be strategic and linked to valued led transformation of people, processes and practices. This helps business combat the inherent risks, fully evaluate the ethical and social costs
while taking advantage of the potential benefits.

Intelligent Automation is the sum of the powerful new digital, analytical and artificial intelligence driven infrastructure that enables the capability these technologies harness which can power the transforming and scaling human computer interactions to open up opportunities for efficiencies and collaboration.

Machine Learning uses new algorithmic methods to solve problems that businesses face without the guidance and constraints of prior programming. With the ability to spot prevalent patterns at a micro level that inform disciplines like forecasting accuracy and detecting malicious network attacks, ML has potential for several applications.

Robotics software transacts rule based repetitive tasks sans supervision, enabled by amplified and intelligent architecture, transformed processes, digital and AI integration, analytics and Big Data.
Bots perform simple and repetitive tasks but a super quick rate, which means efficiencies, and so have myriad and varied application for businesses.
We help you construct the right infrastructure and strategies to take advantage of opportunities created by these capabilities. If you like what you see and want to know more, call us on +44 (0)208 1919008.

If you like what you see and want to know more, call us on +44 (0)208 1919008

The human computer interface is indescribably expanded and made accessible by Conversational UIs, one of the most exciting and accessible advances in the rise of digital capability. Conversational UIs, can be text driven or voice driven. Advances in Natural Language Processing, which allows language to be parsed outside of the context has made conversational UIs of the latter type possible. Natural Language Processing,in Computing is based on Neural Networks, and is a key component of Artificial Intelligence. NLP not only works out exactly what words have been used by a customer but can also apply contextual and intentional filters, so ‘reasoning’ is performed.

You will recognise them as conversation assistants like Siri or those that pop up on screens as ‘chatbots’. With the advent and adoption of Big Data, huge improvements in NLP and machine learning capability create the enabling and reasoning frameworks required for conversational user interfaces.
Though undoubtedly still in toddlerhood, it is expected that these will enable us to understand customers and their motivations more keenly and inform business models through the ability to communicate at key interaction points with customers.

Business is inundated with absolutely vast amounts of data.
Big Data gives business the capability to corral, compress, channel and interrogate that data using analytics for decoding patterns, garnering insights and making decisions and finding possible new value that the business could add.
There is a multiplicity of data sources, in a seemingly infinite variety of format creates challenges in streamlining due to matching, linking and internal correlation which creates complexities.
The challenges we can help with is consulting with your business on how to link and create these linkages and hierarchies so that
relationships and opportunities can become clearer. Our MD worked with a global bank to for a regulatory requirement to create standardised operating models, streamlining processes and roles and responsibilities to implement Big Data. The key objectives being to identify data sources, streamline data attributes across geographical sites and populate and transform the data to provide daily, weekly and monthly reports, the capability was required to reconcile against individual sites data or aggregated views.
We help you understand your sources of data, what, how and how much to analyse and when they can be analysed and how to structure the different data streams. We also guide leaders to consider how the data will be stored, methods for interrogating the data and how to utilise insights gained.

If blockchain technology can underpin digital currency payments, it can be understood that the technology behind it is remarkable. There are other compelling applications of the technology that could aid your business and we would love to discuss it with you on +44(0/0208 191 9008.
The key area we focus on the potential of blockchain is within the cybersecurity space. The Blockchain purpose is absolute security and trust, while preserving anonymity.
This purpose has engendered great possibilities for encryption and authentication, while providing unparalleled transparency on transactional history all of which are data and time stamped, to those with encryption keys, creating the digital ‘blocks’ for which the technology is named.
Using distributed ledger processes, where only a single version of the blockchain available, Blockchain creates transaction histories where committing new transactions do not overwrite prior transactions and so is a full record of all transactions by any and all transactees, which obviously is counter to other database methodologies. To change or update a block, all parties to a transaction must ‘co-sign’ to render rights revocation, record tampering or deletion subject to agreement or otherwise as impossible as can be. Data is fully and powerful encrypted but with right credentials and key,transactions can be verified while anonymity is preserved and not requisite because the transactions not the players are trusted.
The collective advent of digital technologies mean that adopting technology on the digital capacity spectrum, may open up risks in another area (more on Digital Risks Management here) and Blockchain may go someway to prevent attacks, using IoT.
The advantages and therefore the applications for security is that there is a golden source of data.
This golden source has potentialities for preventing fraud and non-repudiation as well as possibilities for the integration of third party systems.

Firewalls inside organisations digital perimeters used to be sufficient but this is no longer the case. With the ubiquitous connectivity afforded by the internet of the things, the availability and accessibility of access points are more than ever before.

With an ever more connected life and the ability to interact with customers and have them provide us with information, smart technology makes everything connected to a network susceptible to attack. Approaches to adopting technology must be smart and sustainable and recognise that threats inherent in the digital opportunities, namely the intersection of information technology and operational technology mobilising vital functions which used to be manual, dis-aggregated and not connected to the internet.

We can help by strategising for digital risk as a start point for implementing digital transformation.