Flux and Future Narratives: Storytelling with Time, Space, and Torque
RecordedJul 15 201549 mins
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Rafael San Miguel Carrasco, Senior Specialist, British Telecom EMEA
This case study is framed in a multinational company with 300k+ employees, present in 100+ countries, that is adding one extra layer of security based on big data analytics capabilities, in order to provide net-new value to their ongoing SOC-related investments.
Having billions of events being generated on a weekly basis, real-time monitoring must be complemented with deep analysis to hunt targeted and advanced attacks.
By leveraging a cloud-based Spark cluster, ElasticSearch, R, Scala and PowerBI, a security analytics platform based on anomaly detection is being progressively implemented.
Anomalies are spotted by applying well-known analytics techniques, from data transformation and mining to clustering, graph analysis, topic modeling, classification and dimensionality reduction.
Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray, Tableau Evangelist at EXASOL, Tableau Trainer
Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.
Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.
In this webinar Andy and Eva will present examples of Government using data visualization to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.
Muralidhar Somisetty, Co-founder and CTO, Innohabit
Big data analytics is undoubtedly one of the most exciting areas in computing today, and remains an area of fast evolution. Thanks to the data deluge from millions of sensors from IoT networks, it is humanly impossible to analyse and make sense of the data from sensors without analytics tools and processes.
In this webinar, we will go over basics of big-data analytics, how analytics is different from traditional data warehouses or business intelligence systems, different tiers of data analytics etc., We will also see different use-cases of IoT from Smart Home to Transporation to Smart City context and how analytics can be applied for various use-cases for actionable insights.
Webinar also briefly touches upon machine learning tools / techniques that are available as-a-service on cloud today.
Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray Tableau Evangelist at EXASOL, Tableau Trainer
Join Andy Kriebel and Eva Murray to hear about #MakeoverMonday, the popular social data project linking hundreds of members from the global data visualization community in an effort to create better charts and more useful data stories.
In this webinar Andy and Eva will share how Makeover Monday not only results in thousands of better data visualizations, but also helps people find their 'voice' in the community and land their dream jobs all while becoming better analysts and story tellers.
They will also discuss the challenge for week 20, present their own makeovers, and the design and thought process that went into them.
Priyanka Mane, Technology Consultant at Saviant Consulting
Join this webinar to learn:
1. What is Power BI?
a. More power to Business Inteligence
2. Why Power BI?
a. Which data sources we can connect and analyse with Power BI?
b. How to connect those data sources to Power BI?
c. What is the role of R as a data source?
d. How to visualise and Analyse?
i. Design skills
ii. Tips and tricks
iii. Analytics patterns
1. Custom visuals
2. R Custom visuals (Predictive Analytics)
4. What about Backend Management?
a. Excel / Azure SQL / Azure Storage or Other
b. Custom Tables / Columns / Measures
i. What / Why / How?
5. Power BI Updates
b. Power BI Community for queries and request/issues updates
i. How to use this?
Naveen Miglani, CEO and co-founder of SplashBI & Ina Yulo, Senior Content Strategist, BrightTALK
Interview in partnership with BrightTALK, The Stack and Cloud Industry Forum
BrightTALK discussed with Naveen Miglani, CEO and co-founder of SplashBI, the relationship between BI and digital transformation.
Among topics covered:
1. What is the future of BI?
2. What are the implications of AI and machine learning on BI?
3. What's the impact of digital transformation in the BI sector and vice versa?
4. What can organisations do today to best prepare for all the changes?
5. What are the key challenges for businesses in adopting and implementing a BI solution?
6. What's the role of IT now in a self-service BI environment?
7. Where are we seeing the most ROI when purchasing a BI reporting tool?
About the speaker:
Naveen Miglani is the CEO and Founder of Splash Business Intelligence and EiS Technologies. Naveen has more than 25 years of industry experience, including corporate strategy, service offerings, and business intelligence. Prior to joining EiS Technologies, Naveen held leadership roles at GE Energy and Oracle Corporation, as well as worked across many departments, including IT, Management, Business Development, Marketing, and Finance. Naveen holds a BS in Engineering and an MBA with a major in Information Systems and International Business from Mercer University.
Pretotyping is a growing technique for fast innovation, faster than developing an MVP. Pretotying is about doing the hardest part first, and the hardest part is almost always getting people to change their habits and try something new. Pretotyping allows you to experiment cheaply and look for market signals that you can then build into.
In this one-hour webinar, you'll learn what pretotyping is, the six main forms, how to iterate quickly, and much more. You'll learn why pretotyping is usually better than building a prototype or an MVP, and how several of today's successful products came out of a pretotyping experiment. Applies equally to physical and digital products and services.
This is for anyone interested in fast innovation: start-ups, marketers, intrapreneurs, product managers, and more. Pretotyping is a powerful tool that should be in every innovator's toolkit.
David Siegel is a Silicon Valley serial entrepreneur living in Switzerland. He played a significant role in the development of the Worldwide Web, has written five books, and coaches startups. He is now leading an open-innovation company focused on blockchain and the decentralized economy.
David Burden - CEO, Daden Limited, An Immersive Learning and Visualisation Company
This presentation will look at the new opportunities being opened up for the visualisation of data within both personal and collaborative 3D spaces, delivered to mobile, browser, desktop, virtual reality and social virtual world/social virtual reality environments. The pros and cons of both 3D and VR environments for the creation and sharing of data visualisations will be considered, tools which let you do dataviz in 3D and VR today presented, and future development pathways discussed.
It’s easy to get caught in the excitement of machine learning and start optimizing RMSE, AUC or recall, but machine learning success starts with aligning to the business.
Join Patrick Rice, CEO of Lumidatum, as he leverages his decade of experience in big data analytics including implementing machine learning solutions at Amazon to outline the secrets to winning at machine learning and delivering real ROI to the business.
Assaf Baciu, Co-founder, SVP of Product & Engineering at Persado
There is a misconception that infusing automation into the customer experience will make it less human, and thus less relatable, to consumers. On the contrary, companies are pioneering AI technologies to enable them to gain a deeper understanding of the people they serve, resulting in experiences that are more relevant, personal, emotional, and ultimately rewarding--for customer and company alike.
Join Assaf Baciu, head of product and co-founder of Persado, who will demonstrate how Fortune 1000 brands are leveraging machine learning to create emotional relationships with their audiences.
Brian Lange, Partner and Data Scientist, Datascope
Good applications of machine learning and AI can be difficult to pull off. Join Brian Lange, Partner and Data Scientist at data science firm Datascope, as he discusses a variety of ways machine learning and AI can fail (from technical to human factors) so that you can avoid repeating them yourself.
Sparkling Water integrates H2O, open source distributed machine learning platform, with the capabilities of Apache Spark. It allows users to leverage H2O’s machine learning algorithms with Apache Spark applications via Scala, Python, R or H2O’s Flow GUI which makes Sparkling Water a great enterprise solution.
Sparkling Water 2.0 was built to coincide with the release of Apache Spark 2.0 and introduces several new features. One of the latest and largest features is the ability to configure Sparkling Water for different workloads, scale and optimize the platform according to your data and needs.
In this talk we will introduce the basic architecture of Sparkling Water, go over different scaling strategies and explain the pros and cons of each solution. We will also compare the approaches with regards to the specific use cases and provide the rationale why or why not each solution may be a good fit for the desired use case.
This talk will finish with a live demo demonstrating the mentioned approaches and should give you a real time experience of configuring and running Sparkling Water for your use case(s)!
Boaz Farkash - Head of Product Management, Sisense and Philip Lima - CEO, Mashey
Machine learning can identify patterns that humans tend to overlook or can’t find easily in masses of data.
When it comes to business intelligence, machine learning brings real opportunity to:
- Automatically uncover business insights
- Help make products more suggestive in nature
- Empower users to get value faster out of their BI projects
- Reduce implementation complexities
- Generate predictive models
Organizations have begun to notice that by using machine learning, they are able to make new discoveries, as well as identify and solve issues faster, gaining the competitive edge over their competition.
Join Boaz Farkash, Sisense Head of Product Management and Philip Lima, Mashey’s CEO, as they explore how Machine Learning is unlocking the power of Business Intelligence.
To be discussed:
- The Rise of the All-in-One Machines
- Machine Learning is Revolutionizing Immediate Decision Making
- The Power of Business Intelligence Bots
- How Smart Can One Machine Be?
- What Lies Ahead
Charlie Leahy, Head of Software Architecture and Data Science (Hufsy)
Banks have a vast wealth of mineable data available to them, but traditionally have provided their customers with little feedback beyond a balance and list of transactions.
In this talk Charles Leahy, Tech Lead at Hufsy, looks at ways in which tools such as visualisation and machine learning can be employed to give users meaningful insights, helping them make the most of their money.
Giovanni Lanzani, Chief Science Officer at GoDataDriven
Now that the Data Science hype is levelling out, many companies are wondering what went wrong as they could not extract values from their data science efforts.
In this webinar we will explore what does it take to apply data science and machine learning in the real world.
Key takeaways include:
- How can you go beyond the traditional data warehouse when doing machine learning
- How should you adapt your processes to keep monetizing on your data
- How to close the feedback loop between your customers and your machine learning models
- What kind of profiles are essential to successfully become a data driven organization
Wim Stoop, Senior Product Marketing Manager EMEA, Cloudera, Dr. Chris Royles, Systems Engineer, Cloudera
Machine learning is all about the data, but it's often out of reach for analytics teams working at scale. Cloudera customers such as Wargaming.net can store, process and analyse 550 million events each day to help them improve gamers’ experiences and increase their customer lifetime value.
Whether you are new to machine learning and advanced analytics, or you already take advantage of the possibilities, this session will explore practical examples and give you some new ideas to take away. Discover how enterprise organisations can accelerate machine learning from exploration to production by empowering their data scientists with R, Python, Spark and more in one unified platform.
Yaroslav Nedashkovskyi, System Architect at SoftElegance
We are going to discuss a case study on a unified data lake for the oil industry -- it is a software architecture and a set of microservices that are used to get business values from the data that are generated during the oil production. Math models were developed to make failure prediction of rod pumps during the oil artificial lifting.
We used modern capabilities of Big Data Architecture, based on Apache Spark set of technologies, machine learning, archived data, and streaming data from wells to build a unified math model to predict failure of that kind of industrial equipment.
Join this webinar to learn:
-- How machine learning can help to predict failure of industrial equipment
-- Architecture to handle near real-time data-flow from oil wells
Managing and analyzing data to inform business decisions
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource.
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