We caught up with Andrew Miller, Sr. Sales Engineer from Bit Stew Systems at Cisco Live this year. Bit Stew is a Cisco partner that focuses on the analytics space with a platform that they call ‘Software Defined Operations for the Industrial Internet’. Their solution works with Cisco IOx on a number of Cisco platforms. The demonstration in this video shows just a small part of what they do, but does showcase analytics at the edge (Fog Computing) in a practical way with, in this case, an electrical utility customer.
Bit Stew’s Mix Core platform automates data ingestion, applies machine intelligence to learn patterns in the data, allowing industrial companies to discover actionable insights that optimize operational performance. MIx Director™ (formerly Grid Director™) is powered by the MIx Core platform, and is the application that industrial enterprises rely on for a contextual and real-time view of their operations, assets and customers.
In the Video, Andrew talks about the “Fog Computing” aspects of the MIx Director solution. With this solution running in cisco Grid routers at the edge of the network, a lot of the filtering of data can be done locally, without back-hauling to the data center or elsewhere. So long as everything is ticking along nicely, there’s no need to burden central resources or comms networks with unnecessary traffic. But if something untoward should happen, then operators will get alerts and see in real time what’s happening. Service crews or emergency services can be dispatched and potential disasters minimized. Well, don’t let me steal too much of Andrews thunder. Watch the video to see what happens next!
You can find out more about Bit Stew and some of their key people by reading these other blogs:
There’s a great “point of View” document that talks about the business benefits of the partnership here: Read More »
Tags: #CLUS, analytics, Bit Stew, collaboration, edge computing, Energy, Fog computing, IoE, IOx, MIx Director, utilities
Providing Business Intelligence (BI) reporting and analysis used to be a service that IT provided for their line-of-business counterparts. In recent years, however business users have increasingly taken the lead for their BI and analytic solutions.
What’s Driving the Self-Service BI Growth Trend?
Read More »
Tags: analytics, Business Directory, business intelligence, Cisco Data virtualization, data virtualization
As an omnichannel retailer, you are probably offering your products to shoppers both online and in brick-and-mortar stores. And, like most retailers, you are no doubt collecting online data and running detailed website analytics that help you track preferred products, pricing, shopper behavior, ratings, and so on.
But are you able to gather these same detailed metrics in your physical store, telling you why shoppers choose your store over your competitor’s? How to create a better experience on the floor? Or optimize staffing? Most importantly, are they helping you increase sales?
Until now, the answer to these questions has been “No,” simply because the technologies to gather such metrics weren’t available. It hasn’t been until now, the era of the Internet of Everything, when edge computing is available to gather and analyze the data that gives you a 360-degree view of your store.
Studies show that in-store analytics is a key area of innovation, which may allow retailers to gain up to 11 percent in value. Today’s in-store analytics tools should be able to do three things:
- Integrate data from multiple services
- Automate data collection processes
- Analyze data to identify actionable insights
With these capabilities available, you can use the power of your investments in mobile technology, social media, and in-store applications to collect – and understand – more and more customer information.
Join us for an hour on Tuesday, July 14 at 10:00 am PT/1:00 pm ET for a webcast on “How to Make Your Data Meaningful: New Strategies for Improving In-Store Shopping Experiences and Retail Operations.” This free one-hour session will discuss:
- Which in-store metrics generate real-time recommendations to boost operational efficiency
- How analytics can help you offer hyper-relevant shopper experiences and forge enduring customer relationships
- Use cases that demonstrate the outcomes of connecting data to decision making
Register Today. We’ll see you there!
Tags: analytics, BigData, Cisco, data, Dianne Lamendola, Internet of Everything, internet of things, operations, retail, shopper, shopping
Almost daily, I work with customers and partners as they develop strategies to gain competitive differentiation through innovative technology. One area bursting with change is the Internet of Things (IoT), which has grown more than threefold in number of deployments since 2012. This is the first in a series of blogs on technology and business factors to keep in mind while considering IoT, beginning with the explosion of IoT access technologies.
The first wave of the Internet focused on enabling human communication. Since the early 1990s, the number of connected devices has skyrocketed from around 1 million personal computers to 15 billion networked devices today. As more and more devices enter the picture, we are developing the key building blocks for the next big wave of the Internet, called the Internet of Everything (IoE)—the networked connection of people, process, data, and things. IoT is a major enabler of IoE, connecting sensors, machines, and other devices.
By 2020, there will be as many as 50 billion connected devices—including cars, buses, trains, office buildings, factories, oil rigs, homes, and entire cities. Some are stationary, some mobile, some have IP addresses, some don’t, some are always on, some intermittent, some are clustered together, some geographically dispersed. This diversity is driving a proliferation of access technologies to connect them. No longer limited to Ethernet, Wi-Fi, and 3G/4G, IoT deployments today also include satellite, Bluetooth LE, Low Power Wide Area Network (LPWAN) technologies such as LoRa, Power Line Communication (PLC), and various Wireless Personal Area Networks (WPAN) such as Wi-SUN. Which technology is best for each situation depends on several criteria: Read More »
Tags: analytics, Bluetooth Low Energy, Cisco, Internet of Everything, internet of things, IoE, IoT, LPWAN, NFC, PLC, Power Line Communication, thought leadership
Each week, we’ll highlight the most important Cisco Partner Ecosystem news and stories, as well as point you to important, Cisco-related partner content you may have missed along the way. Here’s what you might have missed this week:
Off the Top
Please join me in welcoming Pamela Erdman to the Partner Blog this week. Pamela kicked off a series of blogs she is planning by dropping by this week to discuss building your big data practice. She walks you through building a Cisco practice that can really grow your business in the big data space.
Be sure to check out her blog and let us know what you think in the comments. Your feedback can help shape what she will cover in the future!
Leverage the NEW Red Hat Campaigns on Partner Marketing Central
There are three new Red Hat Campaigns on Partner Marketing Central. We have provided you an array of demand generation resources to help you organization take advantage of this great opportunity with your customers. Utilize these tools to customize your on-line and in-person events
Big Data Solutions | Data Center Modernization |Open Stack on UCS (UCSO) Read More »
Tags: analytics, Big Data, Cisco, partner, Weekly Rewind