Microsoft Cloud Authors: Pat Romanski, Elizabeth White, Liz McMillan, Mihai Corbuleac, David Bermingham
Related Topics: @BigDataExpo, Microservices Expo, Containers Expo Blog, Agile Computing, @CloudExpo, Apache
Babies, Big Data, and IT Analytics
Machine learning is a topic that has gone from obscure niche to mainstream visibility over the last few years
|By Richard Park
|February 2, 2013 04:00 PM EST
Machine learning and IT analytics can be just as beneficial to IT operations as it is for monitoring vital signs of premature babies to identify danger signs too subtle or abnormal to be detected by a human. But an enterprise must be willing to implement monitoring and instrumentation that gathers data and incorporates business activity across organizational silos in order to get meaningful results from machine learning.
Machine learning is a topic that has gone from obscure niche to mainstream visibility over the last few years. High profile software companies like Splunk have tapped into the Big Data "explosion" to highlight the benefits of building systems that use algorithms and data to make decisions and evolve over time.
One recent article on machine learning on the O'Reilly Radar blog that caught my attention made a connection between web operations and medical care for premature infants. "Operations, machine learning, and premature babies" by Mike Loukides describes how machine learning is used to analyze data streamed from dozens of monitors connected to each baby. The algorithms are able to detect dangerous infections a full day before any symptoms are noticeable to a human.
An interesting point from the article is that the machine learning system is not looking for spikes or irregularities in the data; it is actually looking for the opposite. Babies who are about to become sick stop exhibiting the normal variations in vital signs shown by healthy babies. It takes a machine learning system to detect changes in behavior too subtle for a human to notice.
Mike Loukides then wonders whether machine learning can be applied to web operations. Typical performance monitoring focuses on thresholds to identify a problem. "But what if crossing a threshold isn't what indicates trouble, but the disappearance (or diminution) of some regular pattern?" Machine learning could identify symptoms that a human fails to identify because he's just looking for thresholds to be crossed.
Mike's conclusion sums up much of the state of the IT industry concerning machine learning:
At most enterprises, operations have not taken the next step. Operations staff doesn't have the resources (neither computational nor human) to apply machine intelligence to our problems. We'd have to capture all the data coming off our servers for extended periods, not just the server logs that we capture now, but any every kind of data we can collect: network data, environmental data, I/O subsystem data, you name it.
As someone who works for a company that applies a form of machine learning (Behavior Learning for predictive analytics) to IT operations and application performance management, I read this with great interest. I didn't necessarily disagree with his conclusion but tried to pull apart the reasoning behind why more companies aren't applying algorithms to their IT data to look for problems.
There are at least three requirements for companies who want to move ahead in this area:
1. Establish maturity of one's monitoring infrastructure. This is the most fundamental point. If you want to apply machine intelligence to IT operations then you need to first add instrumentation and monitoring. Numerous monitoring products and approaches abound but you have to get the data before you can analyze it.
2. Coordinate multiple enterprise silos. Modern IT applications are increasingly complex and may cross multiple enterprise silos such as server virtualization, network, databases, application development, and other middleware components. Enterprises must be willing to coordinate between these multiple groups in gathering monitoring data and performing cross-functional troubleshooting when there are performance or uptime issues.
3. Incorporate business activity monitoring (BAM). Business activity data provides the "vital signs" of a business. Examples of retail business activity data include number of units sold, total gross sales, and total net sales for a time period. Knowing the true business impact of an application performance problem requires the correlation of business data. When an outage occurred for 20 minutes, how many fewer units were sold? What was the reduction in gross and net sales?
An organization that can fulfill these requirements is capable of achieving real benefits in IT operations and can successfully apply analytics. Gartner has established the ITScore Maturity Model for determining one's sophistication in availability and performance monitoring. Here is the description for level 5, which is the top tier:
Behavior Learning engines, embedded knowledge, advanced correlation, trend analysis, pattern matching, and integrated IT and business data from sources such as BAM provide IT operations with the ability to dynamically manage the IT infrastructure in line with business policy.
Applying machine learning to IT operations isn't easy. Most enterprises don't do it because they need to overcome organizational inertia and gather data from multiple groups scattered throughout the enterprise. For the organizations willing to do this, however, they will see tangible business benefits. Just as a hospital could algorithmically detect the failing health of a premature infant, an enterprise willing to use machine learning will visibly see how abnormal problems within IT operations can impact revenue.
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley.
The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Jul. 1, 2016 06:00 PM EDT Reads: 503
Presidio has received the 2015 EMC Partner Services Quality Award from EMC Corporation for achieving outstanding service excellence and customer satisfaction as measured by the EMC Partner Services Quality (PSQ) program. Presidio was also honored as the 2015 EMC Americas Marketing Excellence Partner of the Year and 2015 Mid-Market East Partner of the Year.
The EMC PSQ program is a project-specific survey program designed for partners with Service Partner designations to solicit customer feedbac...
Jul. 1, 2016 05:30 PM EDT Reads: 753
The cloud promises new levels of agility and cost-savings for Big Data, data warehousing and analytics. But it’s challenging to understand all the options – from IaaS and PaaS to newer services like HaaS (Hadoop as a Service) and BDaaS (Big Data as a Service).
In her session at @BigDataExpo at @ThingsExpo, Hannah Smalltree, a director at Cazena, provided an educational overview of emerging “as-a-service” options for Big Data in the cloud. This is critical background for IT and data profession...
Jul. 1, 2016 05:15 PM EDT Reads: 614
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
Jul. 1, 2016 04:15 PM EDT Reads: 205
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable.
In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
Jul. 1, 2016 03:15 PM EDT Reads: 280
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more.
In his session at @Th...
Jul. 1, 2016 02:00 PM EDT Reads: 1,415
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases.
In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Jul. 1, 2016 01:15 PM EDT Reads: 300
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems.
In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Jul. 1, 2016 01:00 PM EDT Reads: 690
There are several IoTs: the Industrial Internet, Consumer Wearables, Wearables and Healthcare, Supply Chains, and the movement toward Smart Grids, Cities, Regions, and Nations. There are competing communications standards every step of the way, a bewildering array of sensors and devices, and an entire world of competing data analytics platforms. To some this appears to be chaos.
In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Bradley Holt, Developer Advocate a...
Jul. 1, 2016 01:00 PM EDT Reads: 1,036
Apixio Inc. has raised $19.3 million in Series D venture capital funding led by SSM Partners with participation from First Analysis, Bain Capital Ventures and Apixio’s largest angel investor. Apixio will dedicate the proceeds toward advancing and scaling products powered by its cognitive computing platform, further enabling insights for optimal patient care.
The Series D funding comes as Apixio experiences strong momentum and increasing demand for its HCC Profiler solution, which mines unstruc...
Jul. 1, 2016 12:30 PM EDT Reads: 682
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley.
The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
"The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
Jul. 1, 2016 12:00 PM EDT Reads: 650
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
Jul. 1, 2016 10:45 AM EDT Reads: 561
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations.
In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
Jul. 1, 2016 10:30 AM EDT Reads: 1,084
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
Jul. 1, 2016 10:00 AM EDT Reads: 516
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market?
In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
Jul. 1, 2016 09:30 AM EDT Reads: 1,186
The IoT is changing the way enterprises conduct business.
In his session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, discussed how businesses can gain an edge over competitors by empowering consumers to take control through IoT. He cited examples such as a Washington, D.C.-based sports club that leveraged IoT and the cloud to develop a comprehensive booking system. He also highlighted how IoT can revitalize and restore outdated business models, making them profitable ...
Jul. 1, 2016 09:00 AM EDT Reads: 687
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins.
However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
Jul. 1, 2016 08:45 AM EDT Reads: 803
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT.
In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...
Jul. 1, 2016 08:30 AM EDT Reads: 802
The idea of comparing data in motion (at the sensor level) to data at rest (in a Big Data server warehouse) with predictive analytics in the cloud is very appealing to the industrial IoT sector. The problem Big Data vendors have, however, is access to that data in motion at the sensor location.
In his session at @ThingsExpo, Scott Allen, CMO of FreeWave, discussed how as IoT is increasingly adopted by industrial markets, there is going to be an increased demand for sensor data from the outermos...
Jul. 1, 2016 08:00 AM EDT Reads: 564
CenturyLink has announced that application server solutions from GENBAND are now available as part of CenturyLink’s Networx contracts.
The General Services Administration (GSA)’s Networx program includes the largest telecommunications contract vehicles ever awarded by the federal government. CenturyLink recently secured an extension through spring 2020 of its offerings available to federal government agencies via GSA’s Networx Universal and Enterprise contracts.
GENBAND’s EXPERiUS™ Application...
Jul. 1, 2016 08:00 AM EDT Reads: 597