Read 2020 recap: Innovating through data, AI and ML
We are marking 2020 by doing a recap series covering the stories of organisations who have spearheaded their data, AI and ML transformations, that were published this year, and left a distinct impression in the field.
[UPDATED] Speaker spotlight: Latest additions onboard at the Data 2030 Summit
It’s been several weeks since our first Speaker spotlight, and already we’ve had more marvellous speakers come onboard at the special edition of the Data 2030 Summit. T
Data & AI maturity in the Middle East and Africa: UAE
The United Arab Emirates have really earned their prime spot at the Data & AI global map. Data and AI investments in the UAE have been on an increasing course for the last several years.
Data governance foundation to enable proper data use: Interview with Ole Busk Poulsen
Although data governance initiatives are usually started to fulfil external regulations and requirements, it’s so much more than security and compliance. It’s fundamental business hygiene that helps us do our business in an effective and efficient way.
Data 2030 Summit DataOps talks you can’t miss
DataOps is enterprise data management for the AI era. It’s one of the fundamental pillars of a modern data management strategy.
Data management in retail: Why, how and what
With recent economic disruptions and technology advances, data sources continue to rise significantly producing ever more transactional and interactional data. The lack of unified omnichannel experience is due to poor data management.
Data and analytics maturity in the energy industry: Interview with Mikko Muurinen
Although the energy industry has been somewhat slow to catch up with the advances in data management, the course has certainly shifted.
Why roundtable events give you more bang for your buck
One overlooked, but a much-needed feature of online events are roundtable discussions, as they provide a more powerful, focused and valuable online learning experience for attendees.
Why you should document your data usage: Interview with Ashish Haruray
Ashish Haruray, Sr CoE Leader, Office of CDO at AXA XL, will educate us why and how to document data usage to ensure full regulation compliance, as well as create a data governance framework that is a backbone of every modern data-ready enterprise, during his session at the Data 2030 Summit in February next year.
Things no one tells you about becoming data-driven
To date, every company, no matter big or small, or the industry it operates in, knows that the only way forward is to become data-driven. Mining, analysing and deriving insights out of the fundamental asset is key for the business success in our digital world.
Augmented data management and the future of data management
As augmented analytics is becoming a more standard model among companies, it’s giving a spur to a related discipline of augmented data management which is revolutionising the information management landscape.
Business
Why roundtable events give you more bang for your buck
One overlooked, but a much-needed feature of online events are roundtable discussions, as they provide a more powerful, focused and valuable online learning experience for attendees.
Why you should document your data usage: Interview with Ashish Haruray
Ashish Haruray, Sr CoE Leader, Office of CDO at AXA XL, will educate us why and how to document data usage to ensure full regulation compliance, as well as create a data governance framework that is a backbone of every modern data-ready enterprise, during his session at the Data 2030 Summit in February next year.
Things no one tells you about becoming data-driven
To date, every company, no matter big or small, or the industry it operates in, knows that the only way forward is to become data-driven. Mining, analysing and deriving insights out of the fundamental asset is key for the business success in our digital world.
Augmented data management and the future of data management
As augmented analytics is becoming a more standard model among companies, it’s giving a spur to a related discipline of augmented data management which is revolutionising the information management landscape.
What the Data 2030 Summit is all about: Interview with Saranda Arifi
To learn more about the event and why you probably would want to have it on your 2021 agenda, we talked to Saranda Arifi who works in the first lines to make the event possible.
Speaker spotlight: Introducing the first 17 speakers at the Data 2030 Summit
The countdown for the 5th edition of the Data 2030 Summit has begun. We are super excited to present to you the first 17 speakers at the Data 2030 Summit 2021.
How much data governance is enough data governance?
All the regulations around data compliance and protection force companies to go all into data governance to meet regulatory requirements.
The clash of the C-suite titans: CDO vs CIO
By 2021, the CDO office will be seen as a mission-critical function comparable to IT, business operations, HR and finance in 75 per cent of large enterprises.
Accelerate AI deployment with a comprehensive data management strategy
The percentage of companies investing in Big Data and AI initiatives has nearly doubled in the last two years, climbing to 64.8% in 2020 from just 39.7% in 2018, Forbes finds. Yet, for all the stocks placed in the disruptive technology of AI, only 14.6% of firms report that they have deployed AI capabilities into widespread production.
How DataOps delivers value to your data governance efforts
Despite the very known importance of making the data readily available, relevant and high quality, many organisations still fail to grasp the value of it and have a solid data governance programme in place in 2020.
Tech
Stimulate ML Development using Feature Store
Big data analytics leveraged Artificial Intelligence (AI), Machine learning (ML), and Deep learning application in recent times. ML application adoption is not limited to certain industries.
Where NLP is today, where it is going and what problems it solves
Although we are far from having real conversations with self-aware, conscious robots as portrayed in the movies, NLP has nevertheless had some important advancements in recent years.
Creating smart energy systems with data analytics, IoT and ML
Data analytics in the utility industry is nothing new. The utility companies have been collecting and analysing utility data in order to optimise their processes and improve their smart grids, at least the data they had available in the past.
What our PdMA experts say about the future of predictive maintenance
On Tuesday, we are opening up the 3rd edition of the Maintenance Analytics Summit where attendees will have a chance to follow online presentations by some of the esteemed experts in predictive maintenance, condition-based monitoring, IIoT, asset lifecycle management and Advanced Data Analytics.
Behind the scenes of detecting anomalies with deep learning at Airbus
Sarah Andreas, Data Scientist at Airbus, will be joining us at the Maintenance Analytics Summit to present how they use deep learning for anomaly detection.
How Uber delivers exceptional customer experience with ML
When your business is serving customers in 6000 cities, in 64 countries and millions of riders, you have to make sure you live and breath customer satisfaction. Uber, the global tech leader in ride-sharing, can teach us a thing or two with how they manage to keep all their riders and drivers happy.
Saving lives from train accidents with machine learning and IoT
Machine learning has a proven track record of advancing our lives, whether it is automating tasks and processes, gaining valuable insights out of massive quantities of data and enabling us to take the most effective data-driven actions. But machine learning and IoT also play a crucial role in saving lives from train accidents.
Finding black swans in data lakes: Rare events in insurance claims
Considering the current standstill state the world is at the moment caused by the Coronavirus outbreak, there has been much discussion about black swans and whether it can be described as a black swan event.
What are probabilistic digital twins and how are they used in asset management?
Digital twins are virtual representations of real-life manufacturing assets. But they are not only models of the physical objects; they serve as a bridge and co-creation between data scientists and engineers. However, what digital twins fail to capture is the risk of assets and the environment to prevent failure.
Three approaches to predictive maintenance of baggage handling systems
The baggage handling systems at airports are some of the most complex conveyor systems. They are the bloodstream of the airports, which makes them a vital component of airport operations.