Programme @

BDA uk

VIRTUALCONFEX

16 June 2021

Brought to you by Whitehall Media

Programme @ BDA uk

Session one

realising your ambitions with the right strategy and governance

  • Digital transformation in practice: from moment to action
  • Health population management: AI-led intervention
  • Self-service analytics: achieving freedom with order
  • AutoML for all: a holistic approach to ML production
  • Data-driven good governance: deriving maximum value
  • AutoML for all: a holistic approach to ML production
  • Protecting digital assets: insider versus outsider threats
  • NLP as a part of your AI arsenal: adding visibility and reducing complexity

09:00

Conference Chair's Opening Address

09:15

Moving from moment to action: turning ambition into success

As organisations look to amend and alter their product offerings in an effort to keep up with new and emerging consumer demands, many are looking to their data science function to support digital transformation initiatives.

Such initiatives require the establishment of new employee-technology dynamics, cross-functional collaboration between previously disparate teams, and the identification of new products and services.

In our opening address, we explore how to use data and models in a systematic way throughout the research and development phases, support cross-departmental working throughout the project lifecycle, and successfully leverage your data modelling through your data science team.

09:35

Good governance: how to be truly data-driven

Effective data governance is vital in today’s data-driven, data-rich world. Without a sustainable approach to data management, many organisations fail to derive maximum value.

By addressing the key areas which make up your governance model, from master, reference, and metadata management, we will highlight real-world examples of how poor data governance leads to stalled data-led initiatives, lost revenue, and fractured processes.

09:50

Striking the right balance: self-service analytics

Your IT team is forever engaged in a struggle to balance freedom with order. The benefit being that the business is then able to use its time more efficiently, which in turn creates the space for greater revenue generation and personalised customer care.

Self-service analytics with data governance baked in empowers your workforce to query and resolve their own questions with data, enables them to share insights with ease across the business, and ensures that the decisions made are reliable, trusted, and secure.

We address:

  • Balancing the needs of business and IT
  • Ensuring good governance and business agility
  • Redistribute content workload to where it is most needed
  • Giving decision making power back to where it is needed

10:05

AI as the first line of defence in global healthcare

AI plays a strategic role not just in the world of enterprise, but also in supporting health authorities in their efforts to maintain global health standards.

By adding AI to health population management processes, authorities will be better able to identify high risk areas, map close contact clusters, and inform local agencies and actors so that they can respond accordingly.

However, what such efforts also inevitably produce is a blurring of the line between effective data-led intervention and the rights of citizens to privacy and security.

We address:

  • How to avoid algorithmic biases
  • The role of ethnicity, gender, and age in health data analyses
  • Gaining actionable insights without hindering citizen rights
  • Risks and opportunities of ML in production

10:20

Auto ML and augmented analytics: an integral part of ML

A holistic approach to ML production consists of analysis, engineering, training, and fine tuning.

An important function which can be added to this process, which many have not yet utilised, is to have these tasks performed by an ML platform which is able to produce reliable model candidates for review and deployment.

We address, AutoML and the role it plays in allowing you to automate your learning models without hindering visibility, access, and control.

10:35

Questions to the Panel of Speakers

10:50

Refreshment Break Served in the Exhibition Area

11:30

Inside versus outside threats: what are your most sought-after data assets?

Whilst traditional enterprise defences have been structured to defend against external threats, for very good reason, businesses are beginning to allocate more resources to combating internal threats as the cases of both intentional and unintentional data leaks continues to increase.

It is important to remember that insiders have access to sensitive information on a regular basis and may know how that information is protected. This leads to data being leaked with greater ease and under the radar of many detection systems.

We address:

  • Knowing the difference between unintentional and malicious leaks
  • Adopting a holistic approach to security
  • Understanding the modern threat landscape
  • Having the right policies and technology in place

11:45

NLP as a part of your AI arsenal: putting your data to work

Many new business functions which are data-led rely on NLP to translate unstructured and semi structured content into actionable information.

From queries, email communications, social media, videos, customer reviews, support requests, NLP tools and techniques have become a must have essential part of your big data architecture.

We address, how NLP supports a range of business applications, from acquisition to processing, in order to provide you with a competitive advantage.

12:00

Questions to the Panel of Speakers and Delegates move to the Seminar Rooms

12:15

Seminar Sessions

13:00

Networking Lunch Served in the Exhibition Area

Session two

deploying the right technology to where it is needed most

  • IoT analytics: making your production work
  • Data-led personalisation: algorithmic marketing
  • Mapping productivity: using data to optimise processes
  • Transforming your data and reporting: making your data flow
  • Responsible AI: protecting your reputation
  • Integrating your data sources: pooling your resources

14:00

Conference Chair’s Afternoon Address

14:05

IoT analytics: making your production work

Highly successful IoT analytics programmes are able to drill into data architectures regardless of scale, uses cases and industry sector. From wearables, sensors, and phones utilised across a range of businesses, from farming, shipping to telecoms, the right architecture supports the production of IoT analytics.

We address:

  • Flexible data collection
  • Monitor all digital assets
  • Collect data from all devices
  • Real-time visibility into KPI’s
  • Aggregate metrics and events
  • Visualise firmware and application updates

14:20

Data-led personalisation: algorithmic marketing

The economics of marketing can be summarised as counting the cost of the initial impression and the effectiveness of the message, which is measured in the response you receive. knowing what message is most effective requires knowing your audience on a granular level and accounting for any contextual concerns.

With algorithmic marketing you can take multiple creatives with different messaging and turn them into a comprehensive all-in-one algorithmic content creative. In this creative, you provide the logic to optimise it towards a given goal over a given dimension.

We address:

  • Platform agnostic algorithmic content
  • Segmentation at scale
  • Media optimisation

14:35

Mapping organisational productivity: using data to optimise processes

Much business activity takes place outside of the enterprise space, which leads to a lack of visibility and control. As the space in which enterprises operate, a reduced, or even total inability, to monitor, optimise and visualise work activity is a major blind spot which needs to be resolved.

We address, how to implement the infrastructure needed to support IoT connectivity, model workflows, real time insights, scalability, visualisation, and drive forward innovation and transformation.

14:50

Questions to the Panel of Speakers

15:00

Afternoon Networking and Refreshments served in the Exhibition Area

15:30

Transforming your data and reporting: making your data flow

So much investment in data reporting and analytics capabilities gets lost in the enterprise ether. Much of the blame lies with the fact that investment is directed towards a wide range of business functions with a host of vendors making up a crowded and poorly aligned platform.

The result of this inefficiency is a lack of data flow, which in turn impacts your ability to collect, analyse, evaluate, and make use of vital information.

We address:

  • Simplifying your data logistics and architecture
  • Controlling data usage
  • Managing interfaces and API management
  • Agile delivery and results operationalisation
  • Establishing a solid data foundation

15:45

Responsible AI: protecting your reputation

As significant a role as AI now plays in enterprise activity, it is decisions made by humans which ultimately lead to biased inputs and false positives.

Responsible AI provides model transparency, which in turn acts as a layer of protection against poor decision making. This helps to strengthen the employee-technology dynamic and creates the possibility for expanding adoption and business alignment throughout the organisation.

We address, how an ethical approach to AI operationalisation can protect your brand, improve transparency and accountability.

16:00

Integrating your data sources: pooling your resources

The complexity of today’s data landscape means that organisations are having to account for a variety of data sources across multiple enterprise platforms, from data centres, cloud storage, and data stores.

To prevent data remaining in the dark, it is important to address unsustainable data spread by deploying a data lake platform which can connect to and discover data and enable your data ops to deliver continuous, component based development of data analytics.

We address:

  • Produce trusted re-usable data assets
  • Govern and integrate data distribution in multi cloud
  • Defining your data
  • DataOps approach to data assets reliability
  • Securing end-to-end DataOps
  • Operationalisation from data lake to marketplace

16:15

Questions to the Panel of Speakers

16:25

Closing Remarks from the Conference Chair

16:30

Conference Closes

Please note:
Whitehall Media reserve the right to change the programme without prior notice.

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