How much data fragmentation costs the airline industry
The airline industry is one that depends on data to function. Data is transforming all step of airlines operations pre- and post-flight, starting from ticket purchase, ground transportation, flight schedules, delays etc. All industries working with data have their own specifics and frequently encounter data fragmentation, especially complex multi-department organisations. But the nature of the airline industry is even more complicated, and consequently, data fragmentation is more pronounced.
Nordic Women and Data Summit: An event that celebrates women in data
Nordic Women and Data Summit is envisioned as an educational, inspirational and networking platform for all women data practitioners in the Nordics.
Why having a good data governance policy matters
When it comes to data governance policy, companies are aware they need one, but few of them know where to start. A lot of them are at a crossroads when it comes to creating a policy that works for their organisation. But the first instinct of reaching to a standard policy wouldn’t work because it won’t meet your corporate strategy.
“Dumb intelligence” or getting wrong results with machine learning
Ismail Elouafiq, a Data Scientist at SVT has drawn a genius association between machine learning systems. (Disclaimer: Ismail’s presentation and this article contain mentions of cats, so people that are allergic or just don’t like cats, you’ve been warned.)
Understanding Outer space with data science
Data gives us the universal truth in every field. And we’re not only talking about here down on Earth but also far above – as far as our eyes can and cannot see. Data science has helped scientists for a long time in the quest for discovering the mysteries of the Universe. Data is how we understand space today, states Elin Eriksson, […]
Ensuring data quality in a complex data environment
Data quality is considered as the highest commandment in data management. And it’s with a strong purpose. Only quality data is useful data, and to be quality it must be consistent and unambiguous. All data that is gathered, stored and consumed during business processes directly impacts the success of the business.
Succeeding with maintenance analytics: Stora Enso’s approach
Predictive maintenance and maintenance analytics allow machine operators to save on resources unnecessarily spent on frequently scheduled maintenance checkups and part repairments that are ineffective.
Nestlé leverages people analytics to narrow the gender pay gap
Nestlé, the world’s largest food and beverage company with over 2,000 brands, is a great example of how a global company should actively work on providing diversity and inclusion in the workplace through people analytics.
Understanding players in Tom Clancy’s The Division with data science
RPG (role-playing) games that are live and connected allow for a lot of interaction to take place between players – and as a result, are a source of huge amounts of data that opens up untapped capacities of data science and analytics for game creating companies.
Problems AI can solve in banking
The banking industry has been quite resistant to change ever since its beginnings. But financial services are not immune to the biggest technological revolution the word has attested caused by AI. Apart from being under pressure to adapt to the digital economy, banks have started to discover some really valuable AI use cases.
DataOps is breaking down silos between development, data and operations
DataOps emerged as a solution for bringing the battle-proven combo of developers and operations into the data processing and eliminating silos between developers, data scientists and operators.
Business
How much data fragmentation costs the airline industry
The airline industry is one that depends on data to function. Data is transforming all step of airlines operations pre- and post-flight, starting from ticket purchase, ground transportation, flight schedules, delays etc. All industries working with data have their own specifics and frequently encounter data fragmentation, especially complex multi-department organisations. But the nature of the airline industry is even more complicated, and consequently, data fragmentation is more pronounced.
Nordic Women and Data Summit: An event that celebrates women in data
Nordic Women and Data Summit is envisioned as an educational, inspirational and networking platform for all women data practitioners in the Nordics.
Why having a good data governance policy matters
When it comes to data governance policy, companies are aware they need one, but few of them know where to start. A lot of them are at a crossroads when it comes to creating a policy that works for their organisation. But the first instinct of reaching to a standard policy wouldn’t work because it won’t meet your corporate strategy.
Ensuring data quality in a complex data environment
Data quality is considered as the highest commandment in data management. And it’s with a strong purpose. Only quality data is useful data, and to be quality it must be consistent and unambiguous. All data that is gathered, stored and consumed during business processes directly impacts the success of the business.
Succeeding with maintenance analytics: Stora Enso’s approach
Predictive maintenance and maintenance analytics allow machine operators to save on resources unnecessarily spent on frequently scheduled maintenance checkups and part repairments that are ineffective.
Nestlé leverages people analytics to narrow the gender pay gap
Nestlé, the world’s largest food and beverage company with over 2,000 brands, is a great example of how a global company should actively work on providing diversity and inclusion in the workplace through people analytics.
Understanding players in Tom Clancy’s The Division with data science
RPG (role-playing) games that are live and connected allow for a lot of interaction to take place between players – and as a result, are a source of huge amounts of data that opens up untapped capacities of data science and analytics for game creating companies.
Problems AI can solve in banking
The banking industry has been quite resistant to change ever since its beginnings. But financial services are not immune to the biggest technological revolution the word has attested caused by AI. Apart from being under pressure to adapt to the digital economy, banks have started to discover some really valuable AI use cases.
IoT: bridging the real and digital world or creating turbulence
IoT has started to permeate more areas of our lives as more everyday devices are turning “smart” by connecting to the Internet. Not only IoT devices are connected to the Internet, they potentially can communicate with each other by sharing information to make our lives easier.
Why and how Nokia changed the game with people analytics
What happens when a company grows so rapidly and its employee base increases three-fold? If you don’t do it right, “the culture will eat your strategy for breakfast,” according to Mark Hayton, responsible for HR analytics and employee surveys at Nokia.
Tech
“Dumb intelligence” or getting wrong results with machine learning
Ismail Elouafiq, a Data Scientist at SVT has drawn a genius association between machine learning systems. (Disclaimer: Ismail’s presentation and this article contain mentions of cats, so people that are allergic or just don’t like cats, you’ve been warned.)
Understanding Outer space with data science
Data gives us the universal truth in every field. And we’re not only talking about here down on Earth but also far above – as far as our eyes can […]
DataOps is breaking down silos between development, data and operations
DataOps emerged as a solution for bringing the battle-proven combo of developers and operations into the data processing and eliminating silos between developers, data scientists and operators.
Deep Learning: Breaking new ground with brain tumour segmentation
Brain tumour is one of the most fatal types of cancer that affects humans. It’s the biggest cancer killer of children and adults under 40, amounting to 14 million new cancer cases per year. And unfortunately causes 8,8 million deaths globally. These statistics are horrifying, but the good news is that deep learning is helping on a large scale to enhance brain tumour treatment.
How Spotify knows what music you like (hint: with machine learning)
Today we like to get our music just like all other information – with one touch or click. You just tap your Spotify app and dive in the endless choice of tracks. Spotify has revolutionised the way we discover music in the digital era. The music streaming app has become an association for listening and discovering new music.
How to safely handle personal data – a page from Finnair’s book
Introduction of the GDPR has got companies working with large volumes of personal data treading on eggshells. More than a year after and some companies are still unsure whether they […]
Driverless cars and machine learning – How Volvo connects the dots
In order to understand how a car manufacturer uses machine learning to teach cars how to drive, we looked at how the Swedish automaker Volvo Cars makes self-driving cars possible.
Bringing down the barriers in enterprise analytics
Despite the highly developed enterprise analytics ecosystem, businesses are still realising only a fraction of the full potential value from data and analytics, as McKinsey state in their report. And there is a prevalent reason for that – barriers.