WEBINAR: Real-Time Analytics at Scale with High Velocity Data - 12 December 2019

Data Science Central Webinar Series Event

Real-Time Analytics at Scale with High Velocity Data Join us for this latest DSC Webinar on December 12th, 2019 Performing analytics at the edge, in the data center or in the cloud, is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the edge, as an integrated solution combined with ML and AI libraries. At the heart of the solution is the open-source time series database, InfluxDB, and the data processing framework Kapacitor. In this latest Data Science Central webinar, we will share how to build this point-and-click solution to help customers unlock the power of high-frequency data in real-time to become a data-driven organization. Speakers: Anil Joshi, CEO -- AnalyticsPlus, Inc. Pankaj Bhagra, Co-Founder and Software Architect -- Nebbiolo Technologies Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Real-Time Analytics at Scale with High Velocity Data Date:  Thursday, December 12th, 2019 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Real-Time Actionable Data Analytics - 13 November 2019

IoT Central Webinar Series Event

Real-Time Actionable Data Analytics Join us for this latest IoTC Webinar on November 13th, 2019 In IoT, understanding the health of thousands of devices is critical for deployment at scale, especially when troubleshooting an issue. Customers need visibility into their devices with actionable data to reference in real time. In this latest IoT Central webinar, learn how a fully-integrated IoT platform team built a metrics system on Telegraf, Kubernetes, and InfluxDB Cloud to deploy a customer-facing product that provides critical and relevant data analytics. Speaker: Cullen Murphy, Site Reliability Engineer -- Particle.io Hosted by: David Oro, Editorial Director -- IoT Central Title:  Real-Time Actionable Data Analytics Date:  Wednesday, November 13th, 2019 Time:  9:00 AM - 10:00 AM PST Space is limited so please register early: Reserve your Webinar seat now

Alibaba's 'City Brain' is slashing congestion in its hometown by Michelle Toh and Leonie Erasmus via @CNNI

Alibaba’s City Brain is easing congestion in its hometown.

AI definitely seems to be the way forward with traffic control systems and they can only get better over time which is really exciting.

SLIDESHOW: 5 top trends driving analytics and BI strategy by David Weldon via @infomgmt

Gartner analysts share their predictions on the most important strategies influencing data science and business intelligence for the next five years.

Some very good points and I have to say I agree with all of them. I can definitely see all of them happening and that it will be fairly quick and painless.  The non-use of a Data Scientist is already a possibility with tools like Tableau making greater waves in the market.

WEBINAR: Streaming analytics and the immediacy of modern business - 14 September 2017

Sept. 14, 2017 | 1 PM ET/10 AM PT
Hosted by Information Management

Instant gratification? The power of streaming analytics can shorten time-to-value almost down to zero. That’s because streaming analytics enables companies to see what’s happening right now, across vast amounts of data, and in a visually compelling way. The potential benefits are vast, and can range from seizing short-lived opportunities for growth, to mitigating problematic situations, and even opening up whole new avenues of revenue. The critical step is to connect insights to a business process. Find out how you can do all of that on this episode of IM Live! Host Eric Kavanagh will interview Mark Madsen of Third Nature, and a special guest from Zoomdata.

Mark Madsen President Third Nature, Inc. (Speaker)	Eric Kavanagh CEO Bloor Group (Moderator)

Sponsor Content From:

Register here

From Lambda to Kappa: A Guide on Real-Time Big Data Architectures by Michael Verrilli via @DZone

This is a discussion of real-time big data architectures as there are options now.

A great article and a huge help in understanding the architectures. I'm really looking forward to his follow up articles where he goes into them in more detail.

How to use Machine Learning to Sell Better by Cate Trotter via @insidertrends

As the shopping experience becomes more and more integrated, retailers tend to adopt an omnichannel sales approach. This means that a customer may seamlessly switch across the multitude of sales channels, shopping online from a desktop or mobile device, by telephone or in a bricks and mortar stores.

It's definitely an environment where if you don't use ML and AI your company is not likely to survive.

Firms have no time for anything less than real-time data by David Weldon via @infomgmt

The typical organisation today is drowning in data, and IT and business leaders need immediate insights to drive innovation, says Zoomdata executive.

I agree and you can get some really great insights based on real-time data.

Informatica announces industry’s first intelligent healthcare data lake by Kyt Dotson via @SiliconANGLE

Data management solutions and big data company Informatica LLC has announced the debut of the industry’s first intelligent data lake, a repository for raw data, that’s made specifically for healthcare.

Interesting new development which proves how common this approach is becoming.

Using Machine Learning to predict parking difficulty via @googleresearch

Google released a feature for Google Maps for Android in 25 US cities that predicts parking difficulty close to your destination so you can plan accordingly. To build it, Google had to overcome obstacles like the lack of real-time information about parking spots, high variability (day, time, work day, events, etc.), difficult to graph parking structures, and illegal parking. Google used a combination of crowdsourcing and machine learning to address those issues. Here's how they did it.

Posted by James Cook, Yechen Li, Software Engineers and Ravi Kumar, Research Scientist

Interesting feature that could be very useful in London or any other busy city. Lets hope they are able to roll it out.

WEBINAR: The Secret to "Enterprise-Grade" Digital Transformation - 10 November 2016

Webinar Event Details

Date: Thursday, November 10, 2016
Time: Noon ET/ 9:00 am PT
Duration: 60 minutes (including Q&A)

What You'll Learn Digital transformation is all the rage today, impacting everyone from the C-suite to the Ops team. Customer pressure and a turbulent business environment are driving IT departments to adopt a broad array of cutting-edge computing technologies. In this mad race to competitive advantage, however, pitfalls abound — immature technologies, archaic business processes, and a lack of visibility into the real-time behavior of businesses are impeding the path to success. What’s missing? An “enterprise-grade” IT structure that places digital priorities into the heterogeneous, middleware-connected, legacy-heavy enterprise context. Companies who effectively master mission-critical tools such as enterprise-grade transaction tracking and real-time application analytics will keep pace with — and remain in control of — the tide of change sweeping across their industries. Those who do not will stumble. With decades of experience exploring the fast-changing landscape of IT technology, leading industry analyst and Forbes contributor Jason Bloomberg will discuss what it means to be “enterprise-grade” and how businesses must leverage enterprise-grade technologies to pursue tangible business outcomes such as: • More sophisticated and reliable real-time digital business services • Greater alignment between IT analytics and business goals • Improved compliance and fraud detection Following Jason, Nastel Technologies’ Charley Rich will share several real-world customer examples where enterprise-grade transaction tracking and analytics capabilities resulted in better, game-changing business outcomes.

Presenters Jason Bloomberg, is a leading industry analyst and globally recognized expert on agile digital transformation. He writes and speaks on how today’s disruptive enterprise technology trends support the digital professional's business transformation goals. He writes for Forbes, his biweekly newsletter called the Cortex, and contributes to several blogs. He also helps technology vendors and service providers communicate their digital transformation stories. His latest book is called The Agile Architecture Revolution (Wiley, 2013). Mr. Bloomberg has published over 900 articles, spoken at over 350 conferences, webinars, and other events, and has been quoted in the press over 1,500 times. Charley Rich, VP Product Management at Nastel Technologies and jKool has extensive experience in Big Data Analytics, SaaS, UI and APM. He was an important contributor to four highly successful start-ups including: InterWorld, Tivoli, SMARTS and Collation/IBM and holds a patent for Application Performance Monitoring. Prior to Nastel, he was IBM’s World-wide Product Manager for the Application Dependency Discovery Manager solution and received the Tivoli General Manager's Award.

Register here

WEBINAR: Big Data Webinar: Turning Sensor Data into Insight - 21 September 2016

Big Data Webinar: Turning Sensor Data into Insight

Wed., September 21, 2016 | 8:00 am PT/16:00 BST

Want to know how Pentaho can help turn mountains of sensor data into real business value?

Understanding when in-service equipment needs maintenance is a big problem with real business benefits at stake. To identify just the right time to intervene, organizations need the ability to perform advanced, real-time analytics on big data created from integrating massive amounts of sensor data with operational, customer and environmental data.

Join this webinar to learn how:

• Organizations can leverage big data to drive cost savings, new revenue opportunities and improved operational efficiencies
• Leading companies like Hitachi Rail Europe, Caterpillar Marine Asset Intelligence and Halliburton are succeeding with predictive maintenance
• The right tools can make a difference on your bottom line

Speaker: Jonathan Shafer, Sr. Customer Marketing Manager, Pentaho

Wael Elrifai, Director of Enterprise Solutions, Pentaho 

Register here

How Campaigns and Companies Use Data to Win the Race by Amir Orad via @Data_Informed

Sisense CEO Amir Orad discusses how political campaigns are leveraging data analytics to target individual voters and guide their advertising spend, how campaigns’ data challenges mirror those of enterprises, and how the analytics efforts of current candidates compare.

Definitely food for thought.

How Artificial Intelligence Can Improve Automated Customer Care by Tara Kelly via @Data_Informed

There are notable exceptions but, in general, people are dissatisfied with the level of customer service they receive today. The American Customer Satisfaction Index shows that customer-satisfaction rates have been trending downward for eight consecutive quarters.

Anything that improves customer satisfaction is worth trying.

3 Big Data Housekeeping Measures You Can No Longer Overlook by Dan Potter via @Data_Informed

As big data analytics matures, measures once considered a speed bump to analysts' progress must be taken to ensure the success of big data initiatives, writes Dan Potter of Datawatch.

These things SHOULD be important no matter what.

Find Business Value in the Maturing Internet of Things by Kishore Kumar via @Data_Informed

The Internet of Things is still in its teenage years, mired in adolescence and grappling with growing pains. A recent report from Gartner said, “A recurring theme in the IoT space is the immaturity of technologies and services and of the vendors providing them.” Architecting for this immaturity poses a major challenge to businesses in every industry.

I have to agree with him.

Rescuing Retail’s Mobile Customer Experience Requires New Technology by Tony Compton via @infomgmt

For retail operators interested in the ability to quickly engage customers in the midst of any rapid change in local conditions or market dynamics, the overarching challenge has become threefold: securing a customer base that will opt in to mobile technology in advance of receiving real-time communications; employing talent that can creatively craft breakthrough notifications; and adopting a technology environment focused on making the most of opportunistic omnichannel customer experiences.

Interesting discussion.

Value of Geospatial Data Applications Extends Beyond IoT by Ali Hodroj via @Data_Informed

Location data holds valuable insights for many business verticals beyond the province of the expanding Internet of Things, writes Ali Hodroj of GigaSpaces.

I can see there are many uses and interesting analytics that can be done using this data.

Real-Time Analytics: Six Steps For Fast, Precise Decision-Making By Roy Schulte via @forbes

How many decisions does your organisation make every week, every day, every hour – even right now, as you’re reading this article? Decisions range from operational (such as “which offer should we present to this customer?”) to strategic (such as “should we acquire this company?”).

Really useful steps on how to succeed at real-time analytics.

Eliminate Silos, Converge Data, and Improve Results via @Data_Informed

Eliminate Silos, Converge Data, and Improve Results by Scott Etkin via @Data_Informed - For many organizations, data silos are the result of separating analytical and operational, or production, systems for performance reasons and to control costs.  But advances in enterprise computing, including falling costs, are eliminating the need for these silos and changing how organizations architect and deploy applications.

Interesting and worth reading.