Where AI has reached human parity: A glance at Microsoft use cases
Examples, where AI complements and even extends human capabilities, are multiple. Notably, Microsoft AI has reached human parity, i.e. become as good as a human in many aspects.
Winning the race of data analytics: Formula 1
Formula 1® car racing championship attracts the enthralled eyes of speed lovers that eagerly wait for the recognisable single-sit cars to whizz on the hot, melting concrete. What die-hard F1® also know that the racing sport is an intense numbers game.
The Data Innovation Summit: 5 years of data and analytics journey (2016)
This year 2020 we have a reason at Hyperight to be truly proud and excited to host the 5th edition of the Data Innovation Summit that is yet to come in August, as most of our followers would have heard by now. Time and time again, we have been proven that old adage that when we make plans, the Gods laugh. And […]
How Mitsubishi Corporation supports digital transformation in the food industry
Takuya Hirakuri General Manager at Digital Strategy Department, Mitsubishi Corporation and Rei Kubonaga CTO at MC Digital are going to tell us all about their digital transformation initiative in the food industry in their presentation at the Data Innovation Summit.
The birth of the Data Innovation Summit: Interview with Goran Cvetanovski
Together with Goran, we went on a reminiscence journey to 2016 – the year when the Data Innovation Summit was born, but also the year in which Data Science was an emerging discipline.
Vehicles as data platforms combining human and sensory behaviours
Meltem Ballan, Data Science Fellow at General Motors, will give an overview of this topic in her Data Innovation Summit presentation Vehicles as data platforms: Telemetry meets vehicle identity and explain the neural components of data and human behaviour.
Scalable Big Data Modeling: How to model data to achieve scalability
Big data analytics gives businesses a competitive advantage. It opened the door to unexplored opportunities for companies to collect and analyse data from numerous sources, and in turn create product offerings around the precious insight they get, reduce cost or find innovative ways of working.
Jayesh Patel, Sr. Data Engineer at Rockstar Games, will talk about Scalable Big Data Modeling in his presentation at the Data Innovation Summit in August.
How the COVID-19 crisis is affecting the BI and Analytics landscape: Interview with Dan Sommer
To discover how the current situation affects the BI and analytics field precisely, we again invited Dan Sommer, Senior Director, Global Market Intelligence Lead at Qlik, and former Research Director at Gartner, to share his insights with us.
The role of HR in becoming DAIR – Data and AI-ready
Data and AI readiness is the goal of every company looking to succeed in the Data and AI-first society we are living in. To put in more context to the story, we previously talked to Henrik Göthberg, Founder and CEO of DAIRDUX, about the concept of becoming and being Data and AI-ready.
AI in the energy sector: How neural networks can improve plant operations
Uniper is doing some awesome breakthrough work with AI and neural networks that deserves to be divulged. For that reason, Tobias Mathur, Head of AI Operations at Uniper, will reveal their findings at the Data Innovation Summit in August.
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.
Business
Where AI has reached human parity: A glance at Microsoft use cases
Examples, where AI complements and even extends human capabilities, are multiple. Notably, Microsoft AI has reached human parity, i.e. become as good as a human in many aspects.
Winning the race of data analytics: Formula 1
Formula 1® car racing championship attracts the enthralled eyes of speed lovers that eagerly wait for the recognisable single-sit cars to whizz on the hot, melting concrete. What die-hard F1® also know that the racing sport is an intense numbers game.
The Data Innovation Summit: 5 years of data and analytics journey (2016)
This year 2020 we have a reason at Hyperight to be truly proud and excited to host the 5th edition of the Data Innovation Summit that is yet to come […]
How Mitsubishi Corporation supports digital transformation in the food industry
Takuya Hirakuri General Manager at Digital Strategy Department, Mitsubishi Corporation and Rei Kubonaga CTO at MC Digital are going to tell us all about their digital transformation initiative in the food industry in their presentation at the Data Innovation Summit.
The birth of the Data Innovation Summit: Interview with Goran Cvetanovski
Together with Goran, we went on a reminiscence journey to 2016 – the year when the Data Innovation Summit was born, but also the year in which Data Science was an emerging discipline.
How the COVID-19 crisis is affecting the BI and Analytics landscape: Interview with Dan Sommer
To discover how the current situation affects the BI and analytics field precisely, we again invited Dan Sommer, Senior Director, Global Market Intelligence Lead at Qlik, and former Research Director at Gartner, to share his insights with us.
The role of HR in becoming DAIR – Data and AI-ready
Data and AI readiness is the goal of every company looking to succeed in the Data and AI-first society we are living in. To put in more context to the story, we previously talked to Henrik Göthberg, Founder and CEO of DAIRDUX, about the concept of becoming and being Data and AI-ready.
AI in the energy sector: How neural networks can improve plant operations
Uniper is doing some awesome breakthrough work with AI and neural networks that deserves to be divulged. For that reason, Tobias Mathur, Head of AI Operations at Uniper, will reveal their findings at the Data Innovation Summit in August.
The future of HR lies with Artificial Intelligence and Machine Learning
Machine learning has been gaining more traction in the HR department owing to the array of benefits with creating job descriptions to attract the best talent, training recommendations for employees and predicting employee attrition.
How to know when you’ve succeeded with digitalisation and AI: Stena Line
To know if you have succeeded in your digital transformation initiatives to make your organisation AI and data-driven, Amer Mohammed who was at the moment Head of Digital innovations at Stena Line, suggested looking back to what the purpose of digitalisation is while presenting Stena Line’s voyage towards becoming a digitised shipping company.
Tech
Vehicles as data platforms combining human and sensory behaviours
Meltem Ballan, Data Science Fellow at General Motors, will give an overview of this topic in her Data Innovation Summit presentation Vehicles as data platforms: Telemetry meets vehicle identity and explain the neural components of data and human behaviour.
Scalable Big Data Modeling: How to model data to achieve scalability
Big data analytics gives businesses a competitive advantage. It opened the door to unexplored opportunities for companies to collect and analyse data from numerous sources, and in turn create product offerings around the precious insight they get, reduce cost or find innovative ways of working.
Jayesh Patel, Sr. Data Engineer at Rockstar Games, will talk about Scalable Big Data Modeling in his presentation at the Data Innovation Summit in August.
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.