Welcome!

Video Authors: Elizabeth White, Yakov Fain, Liz McMillan, Dan Ristic, Jnan Dash

Related Topics: @CloudExpo, Linux Containers, @DXWorldExpo, @ThingsExpo, @DevOpsSummit

@CloudExpo: Article

In-Stream Processing | @CloudExpo @robinAKAroblimo #BigData #AI #BI #DX

We are still getting sales reports and other information we need to run our business long after the fact

Most of us have moved our web and e-commerce operations to the cloud, but we are still getting sales reports and other information we need to run our business long after the fact. We sell a hamburger on Tuesday, you might say, but don't know if we made money selling it until Friday. That's because we still rely on Batch processing, where we generate orders, reports, and other management-useful pieces of data when it's most convenient for the IT department to process them, rather than in real time. That was fine when horse-drawn wagons made our deliveries, but it is far too slow for today's world, where stock prices and other bits of information circle the world (literally) at the speed of light. It's time to move to In-Stream Processing. You can't - and shouldn't - keep putting it off.

[Figure 1, courtesy of the Grid Dynamics Blog]

This diagram may look complicated at first, but if you trace the lines it will soon become clear. The only thing that might throw some managers for a loop is the "Data Science" box at the bottom. This term may seem intimidating, but in real life it's just a method of deciding what data is most important to extract from the data stream as it flows by, and how it should best be displayed to the business people who are its end users. Some say, "Data science is just a sexed-up term for statistics." Perhaps. But title aside, displaying the dynamic information needed to run a business - and only that information - in real-time is what In-Stream Processing is all about.

Data Nuggets in the Stream
A retailer may do 100,000 POS credit card transactions per day. That's nice to know, and it's nice to have a dashboard-type display that shows them in real-time, and shows upward and downward trends minute by minute so that cashiers can be assigned with maximum efficiency. In-Stream Processing can do this, and with the right output devices, can even trigger a storewide PA announcement that automatically says, "All cashiers to the front, please." Opening more registers as soon as checkout volume starts to trend upwards makes customers happy. Even the announcement makes them happy, because it shows that management cares about them.

And buried in those 100,000 credit card transactions, there is one that is an attempt to use a stolen card. Obviously, that transaction will be declined. But then what? In the era of batch processing, an automated alert might get sent to management or loss control hours or days after the miscreant was gone. Perhaps the cashier called security, perhaps he didn't. After all, he had other customers in line, and when he told the person with the hot credit card that it was declined, the criminal probably bolted, and the cashier didn't give chase because it was probably against store policy - and he had other things to worry about, anyway.

Now let's fast-forward to tomorrow, when we have In-Stream Processing up and running. The second - literally the second - the hot credit card transaction takes place, both the store's loss control people and management at HQ learn about it. Store security can head for the appropriate POS before the bogus customer is informed that "his" credit card is no good. Indeed, notifying the cashier, and therefore the bogus customer, that the card has been declined can be automatically delayed until store security personnel acknowledge receipt of the alert, which gives them a far greater chance to detain the criminal than they had in the bad old days before they had In-Stream Processing as an anti-theft weapon.

Predicting production failures with In-Stream Processing
Now, let's turn our sights from the POS system to the conveyors in our packing and shipping facility. Whoops! It seems the drive motor for belt number five is suddenly running at 40 degrees C instead of its typical 30C - 32C. If we don't learn about this for a day or two, chances are we'll have burnt-out motor to replace, and we've had a packing line down for a number of hours.

With In-Stream Processing, we can see temperature sensor output changes instantly, and even have alerts set to go off if they move more than X degrees outside their normal operating range. We can do the same thing with strain gauges and many other measurement devices. We can even check the number of boxes getting packed on each line, with alerts set for changes beyond our expectations so that a manager can check that line to make sure everything is okay both with the workers and with their equipment.

The sooner a potential problem is detected, the better our chance of solving it before it becomes a major, costly problem. This applies to almost every aspect of our business, including a sudden spate of customer calls about problems with a particular product.

Keeping irritated customers from becoming angry customers
An exciting recent development in call center management, which couldn't have happened before big data and the cloud made immense data processing power and data storage available at low (and ever-dropping) prices is Emotion Analysis. It's no great trick for a human to tell whether a caller is happy, inquisitive, upset or downright angry. But this is a recent trick for computers, and is just now starting to become a practical business application.

The idea is that as soon as the system detects unhappiness beyond a preset level in a customer's voice, the call is automatically diverted to a supervisor or 2nd-level support person. In theory, a first-tier support person should be able to detect that unhappiness and call for help, but as you know from your own experience calling businesses for help, people in the first support tier may not be capable of recognizing unhappiness even if - it often seems - you bluntly say, "I'm unhappy. Please get your supervisor."

Think what a pleasant surprise it would be if a fresh voice came on the line and said, "This is Ron, in support management. It sounds like you're upset. I don't blame you. Let's see what we can do to solve your problem!" We're not using a chatbot in this scenario - yet. It may not be long until we have good enough AI (or at least pseudo-AI), and good enough voice recognition to replace human customer service workers, but right now nothing beats a knowledgeable employee with the authority to actually make things right for a customer who has gotten a defective product or poor service of some sort.

But In-Stream Processing, running Emotion Analysis, can certainly help us hook our unhappy customer up with the person who can make her problems go away - and do it right now, not a week from Sunday.

New uses for In-Stream Processing are cropping up all the time
Indeed, Emotion Analysis and dozens of other applications that are new or are still being developed all depend on In-Stream Analysis, because they all rely on real-time or near-real-time processing, not processing that happens someday. Program trading is a great example. If you're doing high-frequency stock buying and selling, making hundreds or thousands of trades per minute (or even per second in some cases), you must be able to process data and make decisions - or have a program that makes decisions - fast enough that the length of your connection to the stock exchange can make a noticeable difference in your profits -- which is pretty darn fast.

-------------------------

With a little thought, you can almost certainly think of at least a few ways In-Stream Processing can benefit your business. If not, throw the idea out to your fellow executives. The chances are 100%, more or less, that within a week they'll think of at least a few ways In-Stream Processing can increase your profits.

More Stories By Robin Miller

Robin “Roblimo” Miller is a long-time IT journalist known for his work on Slashdot, Linux.com, and other sites covering software so new that its edges haven’t even started to bleed. Nowadays, he writes for FOSSForce.com and works as an editorial consultant and blog editor for Grid Dynamics, “the engineering IT services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors.”

@ThingsExpo Stories
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
SYS-CON Events announced today that Evatronix will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone inn...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
Recently, WebRTC has a lot of eyes from market. The use cases of WebRTC are expanding - video chat, online education, online health care etc. Not only for human-to-human communication, but also IoT use cases such as machine to human use cases can be seen recently. One of the typical use-case is remote camera monitoring. With WebRTC, people can have interoperability and flexibility for deploying monitoring service. However, the benefit of WebRTC for IoT is not only its convenience and interopera...
The 22nd International Cloud Expo | 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo | DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
No hype cycles or predictions of a gazillion things here. IoT is here. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, an Associate Partner of Analytics, IoT & Cybersecurity at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He also discussed the evaluation of communication standards and IoT messaging protocols, data...
Product connectivity goes hand and hand these days with increased use of personal data. New IoT devices are becoming more personalized than ever before. In his session at 22nd Cloud Expo | DXWorld Expo, Nicolas Fierro, CEO of MIMIR Blockchain Solutions, will discuss how in order to protect your data and privacy, IoT applications need to embrace Blockchain technology for a new level of product security never before seen - or needed.
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, discussed how they built...
Digital Transformation (DX) is not a "one-size-fits all" strategy. Each organization needs to develop its own unique, long-term DX plan. It must do so by realizing that we now live in a data-driven age, and that technologies such as Cloud Computing, Big Data, the IoT, Cognitive Computing, and Blockchain are only tools. In her general session at 21st Cloud Expo, Rebecca Wanta explained how the strategy must focus on DX and include a commitment from top management to create great IT jobs, monitor ...
"Digital transformation - what we knew about it in the past has been redefined. Automation is going to play such a huge role in that because the culture, the technology, and the business operations are being shifted now," stated Brian Boeggeman, VP of Alliances & Partnerships at Ayehu, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering m...
Nordstrom is transforming the way that they do business and the cloud is the key to enabling speed and hyper personalized customer experiences. In his session at 21st Cloud Expo, Ken Schow, VP of Engineering at Nordstrom, discussed some of the key learnings and common pitfalls of large enterprises moving to the cloud. This includes strategies around choosing a cloud provider(s), architecture, and lessons learned. In addition, he covered some of the best practices for structured team migration an...
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud ...
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud ...