Programme @ BDA Europe Virtual Conference

Rui Pedro Silva, Director of Technology Strategy, A.P. Moller – Maersk

Over the past 10 years, the world has changed drastically, and the behaviours of people have changed with it.

The biggest question is not to what extent corporations are ready to embrace the era of AI automation, but whether society is ready to acknowledge it and prepared to handle it in an efficient way.

Aspects such as education, political environment and primary forms of socialization will become even more relevant for the generations to come.

Are we ready for that?

A wave of disruption is currently sweeping the globe in the wake of the Covid-19 pandemic. First came the health crisis, now comes the financial and economic.

One of the ways in which business leaders are looking to survive the storm is to expand data-led initiatives which can discover new opportunities, support continuity, improve productivity, and seek out new customers.

We discuss:

• Competing with new entrants
• Realising structural cost advantages
• Adopting a digital first culture
• Amending your product offerings
• Creating convenience for customers
• Leveraging digital technologies
• Sensing market shifts
• Innovating faster

Mario Meir-Huber, Head of Big Data, Analytics & AI, A1 Telekom Austria Group

Big data now dominates the enterprise technology landscape. This domination is reflected in IT spend. Despite such investment, many big data-led projects fail to move from pilot to production.

We address, the common pain points experienced when delivering big data projects, why many fail to move on from phase one and what those who are starting out in their big data projects can do when problems occur.

Effective data lake management allows you the opportunity to govern, access and explore big data in an accessible and tangible way which gives real benefit to the business.

A failure to properly format your data lake architecture will result in an inability to reduce costs, productively analyse data sets, integrate data sets into existing infrastructure and handle governance and security in a way which supports business growth.

We address how to:

• Secure a competitive advantage
• Prioritise data variety
• Adopt an agile approach to data analysis
• Foster business and IT collaboration
• Better understand customer behaviour
• Identify consumer trends

As efforts to expand cross-departmental access to data continue to gain traction, businesses are finding the transition from acquisition to revelation difficult to master as the gaps between data experts and the wider business remain.

We address:

• Telling the right story to the right people
• Turning data into information
• Ease of access
• Visualise at speed
• Deploy data from multiple sources
• Update in real time

Organisations need to respond to the evolving ways in which Hadoop is being deployed within businesses. From its origins as a batch processing platform for use cases to reporting on operational workloads, its duties and capabilities have expanded significantly.

We address the role of needs-driven modern-reference-architecture in identifying context-rich data, supporting decision making, increasing business opportunities, and establishing multiple use cases with their own design and unique purpose.

The demand for analytical tools which effortlessly connect to and combine with an extensive variety of cloud hosted data sources has been brought about by greater IoT convergence, which has led to massive amounts of data from a wide variety of sources outmatching the capabilities of many managed services.

We address, how the right analytical tools can enable businesses to explore any type of data wherever it is stored, and how this can help discover hidden opportunities in their IoT investment.

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Real-Life Revenue Generating/ Cost Saving Vision Analytics Use Cases in Telco Business  

Ismail Yildiz, Expert Data Scientist – AI & ML Engineer, Turkcell

Image/video processing is the most popular area in the world of AI. As AI capabilities develop at pace so too do previously impossible ideas become feasible to implement.

In the last 2 years, we have implemented many image/video processing projects in order to increase revenue or cost saving. Examples include but are not limited to Passport Fraud Detection, Video Voting, Face Authentication, Car Park Slot Suggestion, Photo Social Media Tag Recommendation, Emotion Analysis, Recruitment Scoring on Video Resumes, etc. The most important thing regarding these projects is that they are already in production and generating revenue.

Machine learning is a vital business technology and its evolution from automated tasks to more complex endeavours such as autonomous vehicles has produced a lack of accessibility.

We address:

• Automate traditional ML processes
• Enable multiple users
• Multi-discipline accessibility
• Develop accurate models
• Interpretation and explanation infused models
• AI production at speed

Taming multiple data sources is an ongoing effort which many fail to manage successfully. Being restricted by a particular data technology platform leads to vendor lock-in, reduced data access and restricted data analysis.

Without the right software, you are simply wasting time, energy and money and struggling to gain actionable insights from your data.

We address the value of agnostic data, having a single source of truth, and compare and contrast true behaviour against expected outcomes in platform modelling.

Big data, AI, IoT, and machine learning is stretching the limits of the human-technology dynamic. In order to give these technologies more accessible features, businesses are going to have to turn to NLP in greater degrees than previously thought.

By closing this gap, NLP can further adoption, support interaction with various smart systems, and allow the most casual of users to interact with intelligent systems.

We address:

• Widen access through simplified codes
• Prompt system to provide insights
• Content delivered in human voice
• Summaries provided on the go
• Gain access to sentiment analysis
• Discover customer perception of brand offering
• Tie information to specific customer profiles

Analytics in the form of BI have taken on an added importance as the Covid-19 crisis has led to an environment in which businesses need to explore new opportunities for growth in the face of dwindling revenue in existing product offerings.

The right BI platform has the ability to integrate every key aspect of operations from advertising, supply chains, support, and social media management, which supports cost efficiency, productivity, and revenue generation.

We address:

• Diversity in data sources
• Plow through data in real time
• Produce insights previously unimagined
• Increase profit margins
• Location-aware & location-based services

Regardless of how well we feel we have mastered the benefits of big data, ML and AI, the reality remains that enterprises remain highly vulnerable to a cybersecurity breach.

No matter what future innovations may be realised, the more data we acquire, the greater the risk we take on as the digital ecosystem continues to be cultivated by data-led productivity.

We address, what you can do to best prepare, deter, and defend against hostile actors by developing a serious incident and response playbook.