24 HOURS PRE EVENT VIRTUAL PLATFORM OPENS FOR BROWSING
- Business and societal impact of IA, AI & big data
- Promoting data-led innovation in times of disruption
- Big data project management masterplan
- Data lake governance-moving to the cloud
- Data visualisation story telling
- Needs driven modern architecture
- IoT convergence: self-service analytics
Conference Chair's Opening Address
Measuring the impact of technologies like IA, AI, Big Data on the future of our society
Rui Pedro Silva
Director of Technology Strategy, A.P. Moller – Maerskview profile
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?
Innovation through digital intelligence
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.
- 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
The big data project management masterplan
Head of Big Data, Analytics & AI, A1 Telekom Austria Groupview profile
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.
Governing your data lakes
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
Visualisation: telling a story
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.
- 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
Questions to the Panel of Speakers
Refreshment Break Served in the Exhibition Area
Data Ops: needs driven reference architecture
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.
IoT convergence: make analytics serve you
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.
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
Networking Lunch Served in the Exhibition Area
Online Session Two
- The added value of a measurable key result
- Building and retaining your customer base with AI
- Adopting an agile data science approach
- Moving from pilot to production
- Algorithmic content programming
- Using data to optimise your processes
- Embracing analytics-a practical use case
Conference Chair’s Afternoon Address
Telecoms case study
Expert Data Scientist - AI & ML Engineer, Turkcellview profile
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.
Auto ML and augmented analytics: enabling the AI-driven business
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.
- Automate traditional ML processes
- Enable multiple users
- Multi-discipline accessibility
- Develop accurate models
- Interpretation and explanation infused models
- AI production at speed
The value of data and source agnostic platforms
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.
Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
Natural Language Processing: more is better
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.
- 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
Developing new areas of growth: BI in the age of Covid
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.
- Diversity in data sources
- Plow through data in real time
- Produce insights previously unimagined
- Increase profit margins
- Location-aware & location-based services
Big data breaches: prepare, deter, defend
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.
Questions to the Panel of Speakers
Closing Remarks from the Conference Chair
Whitehall Media reserve the right to change the programme without prior notice.