The Data Innovation Summit: 5 years of data and analytics journey (2018)
The Data Innovation Summit was amended with exciting new features. We added new stages with practical case studies on Data-Driven Innovation, Analytics, Data Science, Machine Learning, Artificial Intelligence and IoT Insight.
Join the Tech Giants at the DIS 2020: Netflix, Airbnb, Uber, Spotify
Netflix, Airbnb, Uber and Spotify have totally disrupted the markets they operate because they’ve found smarter, faster, and better ways of providing exceptional customer experience by relying on data analytics, AI and ML. And they are all coming to the Data Innovation Summit to present their data workings that contribute to their massive success.
What is the best strategy to put effective KPIs in place?
Key Performance Indicators (KPIs) are probably one the most ever used and less understood in term of the business and analytics. They are a business metric used to evaluate factors that are crucial to the success of an organization and differs from company to company and department to department. It is one of the most important company’s strategic decisions which involve a series of interviews with stakeholders and acting as a strong strategic decision for each company.
The Data Innovation Summit: 5 years of data and analytics journey (2017)
The previous The Data Innovation Summit: 5 years of data and analytics journey series was dedicated to practical case studies on “how” and real examples of putting data innovation into practice of the Data Innovation Summit 2017. Now we’ll see how pioneering companies utilised analytics and data science to innovate through their data and their best analytics practices.
Join the Tech Giants at the DIS 2020: Facebook, Google, LinkedIn, Twitter
These tech giants are joining us at the 5th edition of the Online Data Innovation Summit to share their state-of-the-art methods of using data, AI, ML to power their massive tech platforms and make decisions that impact millions of people daily.
The Data Innovation Summit: 5 years of data and analytics journey (2017)
The first 2016 edition laid out the foundation for data-driven innovation and brought light to the macro drivers, the challenges, the implications and the solutions. Whereas, the 2017 edition showcased more practical case studies on “how” and real examples of putting data innovation into practice.
Data pillars that support a solid digital transformation initiative
The current climate underpins the great necessary for digital transformation. However, as with other initiatives, companies need to get the data fundamentals right from the very beginning to set themselves up for success in the digital era.
Top game developers at the DIS 2020: Massive Entertainment, Rockstar Games and Zynga
At the 5th edition of the Data Innovation Summit, we are going to welcome on stage some of the biggest names in the game development industry and hear their innovative ways of using data: Massive Entertainment (a Ubisoft Studio), Rockstar Games and Zynga.
A Beginner’s Guide to Machine Learning for HR Practitioners
We have begun to open the black box that is AI, providing a simple overview of ML. We looked at three broad types of ML—reinforcement, supervised and unsupervised—and examined some simple applications of each, where possible related to Human Resources.
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.
Business
The Data Innovation Summit: 5 years of data and analytics journey (2018)
The Data Innovation Summit was amended with exciting new features. We added new stages with practical case studies on Data-Driven Innovation, Analytics, Data Science, Machine Learning, Artificial Intelligence and IoT Insight.
What is the best strategy to put effective KPIs in place?
Key Performance Indicators (KPIs) are probably one the most ever used and less understood in term of the business and analytics. They are a business metric used to evaluate factors that are crucial to the success of an organization and differs from company to company and department to department. It is one of the most important company’s strategic decisions which involve a series of interviews with stakeholders and acting as a strong strategic decision for each company.
The Data Innovation Summit: 5 years of data and analytics journey (2017)
The previous The Data Innovation Summit: 5 years of data and analytics journey series was dedicated to practical case studies on “how” and real examples of putting data innovation into practice of the Data Innovation Summit 2017. Now we’ll see how pioneering companies utilised analytics and data science to innovate through their data and their best analytics practices.
The Data Innovation Summit: 5 years of data and analytics journey (2017)
The first 2016 edition laid out the foundation for data-driven innovation and brought light to the macro drivers, the challenges, the implications and the solutions. Whereas, the 2017 edition showcased more practical case studies on “how” and real examples of putting data innovation into practice.
Data pillars that support a solid digital transformation initiative
The current climate underpins the great necessary for digital transformation. However, as with other initiatives, companies need to get the data fundamentals right from the very beginning to set themselves up for success in the digital era.
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.
Tech
Join the Tech Giants at the DIS 2020: Netflix, Airbnb, Uber, Spotify
Netflix, Airbnb, Uber and Spotify have totally disrupted the markets they operate because they’ve found smarter, faster, and better ways of providing exceptional customer experience by relying on data analytics, AI and ML. And they are all coming to the Data Innovation Summit to present their data workings that contribute to their massive success.
Join the Tech Giants at the DIS 2020: Facebook, Google, LinkedIn, Twitter
These tech giants are joining us at the 5th edition of the Online Data Innovation Summit to share their state-of-the-art methods of using data, AI, ML to power their massive tech platforms and make decisions that impact millions of people daily.
Top game developers at the DIS 2020: Massive Entertainment, Rockstar Games and Zynga
At the 5th edition of the Data Innovation Summit, we are going to welcome on stage some of the biggest names in the game development industry and hear their innovative ways of using data: Massive Entertainment (a Ubisoft Studio), Rockstar Games and Zynga.
A Beginner’s Guide to Machine Learning for HR Practitioners
We have begun to open the black box that is AI, providing a simple overview of ML. We looked at three broad types of ML—reinforcement, supervised and unsupervised—and examined some simple applications of each, where possible related to Human Resources.
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.