BIG DATA WITH DINO PEDRESCHI: THE ROAD AHEAD


The road ahead

Dino Pedreschi, Professor of Computer Science at the University of Pisa and co-lead of KDD Lab - Knowledge Discovery and Data Mining Laboratory, talks about data commons, network effects, Gdpr and our right to explanation.

Susan Boil

Guys a fun fact, I was on a lecture just the other day, there I had the pleasure to listen some info about a company called chaosgroup. They create software for 3D rendeing, in plain words, their programs create serious animations. And in the theme of Big Data I was told that in the latest avengers movie the character called "Thanos" weights thousands and thousands of terabytes of data.

Greetje Preeti Baart

Big data analytics applications enable big data analysts, data scientists, predictive modelers, statisticians and other analytics professionals to analyze growing volumes of structured transaction data, plus other forms of data that are often left untapped by conventional business intelligence and analytics programs. That encompasses a mix of semi-structured and unstructured data -- for example, internet clickstream data, web server logs, social media content, text from customer emails and survey responses, mobile phone records, and machine data captured by sensors connected to the internet of things. 

Shila Vasuda Gupta

Big Data technologies are evolving with the exponential rise in data availability. It is time for enterprises to embrace this trend for the better understanding of the customers, better conversions, better decision making, and so much more.  It is important for enterprises to work around these challenges and gain advantages over their competition with more reliable insights.

Waclaw Piatek

There is a definite shortage of skilled Big Data professionals available at this time. This has been mentioned by many enterprises seeking to better utilize Big Data and build more effective Data Analysis systems. There is a lack experienced people and certified Data Scientists or Data Analysts available at present, which makes the “number crunching” difficult, and insight building slow.

Sanjeev Jehoram Moriarty

In response to Alex Tetradze

Careen,

What is RDBMS?  Does it have something to do with databases?

A relational database management system (RDBMS) is a collection of programs and capabilities that enable IT teams and others to create, update, administer and otherwise interact with a relational database. Most commercial RDBMSes use Structured Query Language (SQL) to access the database, although SQL was invented after the initial development of the relational model and is not necessary for its use.

Alex Tetradze

In response to Careen Levi

Big data gets generated in multi terabyte quantities. It changes fast and comes in varieties of forms that are difficult to manage and process using RDBMS or other traditional technologies. Big Data solutions provide the tools, methodologies, and technologies that are used to capture, store, search & analyze the data in seconds to find relationships and insights for innovation and competitive gain that were previously unavailable.

Careen,

What is RDBMS?  Does it have something to do with databases?

Careen Levi

Big data gets generated in multi terabyte quantities. It changes fast and comes in varieties of forms that are difficult to manage and process using RDBMS or other traditional technologies. Big Data solutions provide the tools, methodologies, and technologies that are used to capture, store, search & analyze the data in seconds to find relationships and insights for innovation and competitive gain that were previously unavailable.

Neelam Szczepański

Data science, data analytics, and machine learning are some of the most in-demand domains in the industry right now. A combination of the right skill sets and real-world experience can help you can secure a strong career in these trending domains.

Hrœrekr Franzese

Here are the essential data science skills:

  • Strong knowledge of Python, SAS, R, Scala
  • Hands-on experience in SQL database coding
  • Ability to work with unstructured data from various sources like video and social media
  • Understand multiple analytical functions
  • Knowledge of machine learning
     
Sandra Anselmo Escamilla

I want to add a comment on how AI is used in education.  AI can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers.

Valerija Vroomen

Big data can be contrasted with small data, another evolving term that's often used to describe data whose volume and format can be easily used for self-service analytics. A commonly quoted axiom is that "big data is for machines; small data is for people."

Lucas Jessen

In response to Magdalena Novak

Science and research is currently being transformed by the new possibilities big data brings. Take, for example, CERN, the Swiss nuclear physics lab with its Large Hadron Collider, the world’s largest and most powerful particle accelerator. Experiments to unlock the secrets of our universe – how it started and works - generate huge amounts of data. The CERN data center has 65,000 processors to analyze its 30 petabytes of data. However, it uses the computing powers of thousands of computers distributed across 150 data centers worldwide to analyze the data.

This is fascinating! I have always wondered what the purpose of CERN was, I will read more about it.

Gertruda Filipowski

Industry influencers, academicians, and other prominent stakeholders certainly agree that big data has become a big game changer in most, if not all, types of modern industries over the last few years. As big data continues to permeate our day-to-day lives, there has been a significant shift of focus from the hype surrounding it to finding real value in its use.

Sung-soo Han

In response to Mélina Aubert Porcher

The topic of this discussion is the Road Ahead for big data.  What are some other fields in which big data is slated to make a difference?

Sports.  Most elite sports have now embraced big data analytics. We have the IBM SlamTracker tool for tennis tournaments; we use video analytics that track the performance of every player in a football or baseball game, and sensor technology in sports equipment such as basket balls or golf clubs allows us to get feedback (via smart phones and cloud servers) on our game and how to improve it.

Magdalena Novak

Science and research is currently being transformed by the new possibilities big data brings. Take, for example, CERN, the Swiss nuclear physics lab with its Large Hadron Collider, the world’s largest and most powerful particle accelerator. Experiments to unlock the secrets of our universe – how it started and works - generate huge amounts of data. The CERN data center has 65,000 processors to analyze its 30 petabytes of data. However, it uses the computing powers of thousands of computers distributed across 150 data centers worldwide to analyze the data.

Please login or register to leave a response.