#MITSMRChat: Insights on Customer Engagement Through Analytics

New MIT Sloan Management Review research shows that organizations are using analytics to improve their connections with customers and build competitive advantage. While there is certainly no shortage of data from online transactions, mobile activity, sensors, and other technologies, turning that data into actionable insights remains a key challenge. We explore this issue in our recent Data and Analytics Global Executive Study and Research Report, “Using Analytics to Improve Customer Engagement.” Organizations that can overcome common pitfalls stand to reap enormous benefits, including stronger engagement with customers.

Join report coauthors Sam Ransbotham and David Kiron March 1, 2018, at 11 a.m. EST/8 a.m. PST for an interactive discussion of the challenge — and the opportunity — to engage customers through sophisticated uses of analytics.

To join, simply head over to MIT Sloan Management Review’s Twitter page at the chat start time, or search Twitter for the hashtag “MITSMRChat” to follow along.

Questions we’ll be discussing with the report coauthors and other analytics influencers:

  1. How do analytics offer businesses increased competitive advantage?
  2. What’s the biggest challenge you see in using analytics to drive customer engagement?
  3. How important are real-time analytics for an effective customer engagement strategy? Are IoT solutions an effective part of that strategy?
  4. Does your organization share data with customers, partners, vendors, or competitors? How/why?
  5. How is your organization using artificial intelligence (AI) to augment its analytics efforts?


MIT Sloan Management Review

Four Key Trends IIoT Platforms are Enlisting as Businesses Race to Convert Data into Insights

Four Key Trends IIoT Platforms are Enlisting as Businesses Race to Convert Data into Insights

Four Key Trends IIoT Platforms are Enlisting as Businesses Race to Convert Data into Insights

Frost & Sullivan reveals participants with single complementing competencies will join forces to protect market share and boost customer value.

Coupled with rapidly advancing Internet of Things (IoT) techniques, IoT platforms are set to create new business models aimed at enhanced connectivity, control and convergence.

Businesses are now racing to convert raw machine and process data into actionable and useful insights in real-time. IoT platforms are at the core of this revolution, providing users with the flexibility and tools needed to develop application-centric functions unique to each industry.

Frost & Sullivan Industrial Automation and Process Control Senior Research Analyst Sharmila Annaswamy, said:

“The IIoT ecosystem is rapidly evolving, and will witness acquisitions and collaborations on a large scale to close capability gaps. While major industrial participants with IT-OT expertise are leading the revolution, participants with single complementing competencies will join forces to protect market share and boost their customer value propositions.”

Four key industry trends in IIoT platforms:

  • Industry inclination towards self-service models is expected to advance Application Programming Interface (APIs) modules to the center of industrial IoT strategies;
  • Open cloud developer platforms such as Predix DOJO that allow collaboration between industry experts and in-house software developers is expected to accelerate proof-of-concept modeling for customers;
  • Satellite-based LPWAN technologies are expected to overpower cellular-based network technologies such as LTE-M,NB-IoT, and strengthen IoT use-cases for global asset tracking in oil and gas, and transportation; and
  • Artificial Intelligence engines and cognitive capabilities will soon become a hygiene factor in IIoT platforms primarily driven by the need to surpass the competition and boost solution performance.

“As factories and enterprises move toward a multi-cloud model, IoT platform providers will have to adopt automated load-balancing strategies to allow multi-cloud data transfers and elevate application performance across distinct cloud platforms”, noted Annaswamy.

Frost & Sullivan’s recent research, Landscaping IIoT Platforms—Vendor Clusters and Growth Prospects, compares and benchmarks Industrial IoT platforms and vendor clusters. It highlights the prevalent innovation hubs, key technology and business trends that are influencing the evolution of industrial IoT platforms, and profiles existing industrial IoT platforms such as Condence, Axoom, Losant, Datonis, Jasper, Bosch, Azure IoT, Thingworx, Mindsphere, Devicewise, Lumada, Leonardo, and Predix (GE).
To access more information on this analysis, please click here

The post Four Key Trends IIoT Platforms are Enlisting as Businesses Race to Convert Data into Insights appeared first on IoT Business News.

IoT Business News

Global Net’s S-Badge promise Extra Safety, Security and Business Insights

Global Net Solutions (GNS) unveils its S-Badge, an enhanced revolutionary IoT-based security solution. Targeting airports, hospitals, school districts and college campuses, government agencies, S-Badge is designed to improve safety. It is also capable of tackling insider threats and breaches in high security environments.

The S-Badge solution is the industry’s first security system leveraging a multi-sensor Bluetooth low energy beacon. It uses multiple data sensors and High Frequency RFID technology to track people, property and assets with location monitoring in indoor and outdoor settings. The scratch-proof and water-resistant surface of badge is customized with a printed photo ID.

Leveraging on technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning to enhance security it unlocks an entirely new range of functionality and data that go far beyond today’s standards. The proprietary, turn-key solution utilizes an innovative system of on-site LoRa gateways and a battery-smart, all-in-one authentication badge that verifies a user’s identity based on location, a biometric signature and a preprogrammed NFC chip. The S-Badge also features a panic button to discreetly signal an emergency, along with the badge’s location.

Its unique three-factor authentication process provides the highest level of security while solving the most common problems that plague existing systems, such as badge abuse and lost or stolen badges. The process includes, Biometric, Location and Secure Element Authentication.

Advanced features, like location monitoring, the emergency distress signal and machine learning prediction modeling capabilities, are powered by the stationary gateways throughout a structure or site that communicate with the S-Badge.

The post Global Net’s S-Badge promise Extra Safety, Security and Business Insights appeared first on Internet Of Things | IoT India.

Internet Of Things | IoT India

Global Net Solutions Unveils Its IoT S-Badge for Increased Safety, Security and Business Insights

Global Net Solutions Unveils Its IoT S-Badge for Increased Safety, Security and Business Insights

Global Net Solutions Unveils Its IoT S-Badge for Increased Safety, Security and Business Insights

Easy-to-Use, Smart Safety and Security Solution Leverages AI and Machine Learning to Rewrite Security Standards for Every Campus or Corporate Environment.

Global Net Solutions (GNS), today unveiled its S-Badge, a revolutionary IoT-based security solution designed to improve safety and tackle insider threats and breaches in high security environments, such as airports, hospitals, school districts and college campuses, government agencies and more.

The S-Badge solution is the world’s first security system leveraging a multi-sensor Bluetooth low energy beacon, multiple data sensors and High Frequency RFID technology to track people, property and assets with location monitoring in indoor and outdoor settings. Each badge is individually customized with a printed photo ID on a scratch-proof and water-resistant beveled surface.

Unlike other systems, the S-Badge leverages the latest IoT technology, artificial intelligence (AI) and machine learning to enhance security and unlock an entirely new range of functionality and data that go far beyond today’s standards. The proprietary, turn-key solution utilizes an innovative system of on-site LoRa gateways and a battery-smart, all-in-one authentication badge that verifies a user’s identity based on location, a biometric signature and a preprogrammed NFC chip. The S-Badge also features a panic button to discreetly signal an emergency, along with the badge’s location.

“We’re living in a time when security and privacy have never been more important, yet no company is tracking people once they’re in the door,” said Michael Elias, director of business development, Global Net Solutions.

“Existing systems let the fox in the hen house, so we developed the S-Badge. Now you can be 100% sure of who is accessing what, where and when, without risk of security breaches from negligence, oversights or abuse. Most importantly, we only track individuals when they are within the campus or facility, not at home or off duty.”

GNS S-BadgeThe S-Badge’s unique three-factor authentication process provides the highest level of security while solving the most common problems that plague existing systems, such as badge abuse and lost or stolen badges. This process includes:

  • Biometric Authentication – the S-Badge must be activated using advanced fingerprint verification, which also measures moisture, temperature and electricity in the live skin to ensure that only the authorized individual can activate the badge
  • Location Authentication – the S-Badge communicates with surrounding gateways to verify its authenticity and exact location at any time
  • Secure Element Authentication – an individually programmed NFC chip verifies whether the user is authorized to access a specific area or assets

To further enhance security, the S-Badge utilizes advanced AI and machine learning to create a prediction model, which can help identify threats in real time based on past behavior and location data. When the prediction model recognizes unusual behavior – like spending too much time in a restricted area – the system can send an alert to security to notify a potential problem.

Advanced features, like location monitoring, the emergency distress signal and machine learning prediction modeling capabilities, are powered by the stationary gateways throughout a structure or site that communicate with the S-Badge. This is an ideal method for protecting an individual’s privacy – as the badge cannot be tracked off site – but still enables data and business insights that can increase employee productivity, improve the customer experience and further enhance safety and security.

“Existing systems and standards are riddled with flaws – they’re simply outdated. Also, there is a gold mine of data that, up until now, has been completely ignored,” Elias added. “What we came up with is the first complete system designed to work in any environment – it’s scalable, easy to use and can be deployed immediately.”

Furthermore, the S-Badge features:

  • LoRa® Transceiver Module – low-power, long range radio for communication with gateways up to five miles away
  • Panic Button – any user can discreetly signal an emergency along the badge’s exact current location
  • Flexible Infrastructure – cloud-based or on premise server infrastructure giving customers complete control, liability and security of their own data
  • Wireless charging – capability via an NFC wireless charging pad

The post Global Net Solutions Unveils Its IoT S-Badge for Increased Safety, Security and Business Insights appeared first on IoT Business News.

IoT Business News

Updates to Azure Time Series Insights simplify analysis of IoT data

The unprecedented volume of data generated by the Internet of Things (IoT) has made analysis of time-series data a powerful way to gain actionable insights into business performance. This type of analytics can help companies uncover hidden trends, conduct root-cause analyses, and quickly validate IoT solutions.

Yet collecting, managing, visualizing, and analyzing time-series data at scale and in near-real time is a tall order for even the most capable of companies. That’s because sensors and connected devices can generate billions of data points every day, and businesses lack a centralized view of data and the ability to perform a unified query. Combining and visualizing disparate data types—in particular, time-series data and reference data—is daunting because organizations typically use multiple, non-integrated tools and techniques.

Microsoft is addressing these challenges in a new update to the public preview of Azure Time Series Insights, a managed cloud service that provides a global view of IoT-scale data with real-time visibility into time-series data across all locations. Updates to Time Series Insights include:

  • Streamlined management of time-series data in the Azure Portal.
  • Documentation on reference data API that makes it easier to combine time-series data with more static reference and historical data—and build custom solutions.
  • A dynamic search span that allows businesses to customize and run repeatable queries using a single template, as well as use relative time spans in queries.
  • A new feature that surfaces statistically significant patterns and enables users to quickly perform root-cause analyses and post-mortem investigations.
  • Several new usability improvements to time navigation that help streamline triage and diagnosis.
  • A time brush tool that makes it easier to move between time ranges when diagnosing sensor data.
  • Updates to the JSON data interchange format that add the ability to import multi-content JSON payloads.
A GIF showing patterns in the Time Series Insights stats tab and addition of a pattern as a new term.

A GIF showing patterns in the Time Series Insights stats tab and addition of a pattern as a new term.

One company that’s benefiting from Microsoft’s IoT solutions is EcoLab, a leading provider of water and energy services that is creating a system to help its industrial customers reduce water use. Leveraging the Azure IoT Suite, EcoLab has combined approximately 10TB of time-series data like water use with sales and other data to help visualize and identify patterns. Azure has helped the company address an inherent IoT challenge: The ability to combine and analyze time-series data from operations processes around the world.

Microsoft will continue to update and add functionality to Time Series Insights while in public preview. To find out more about how we are building the leading platform for analyzing time-series data, read our blog post announcing new Time Series Insights capabilities. You can also register for our upcoming webinar, “Quickly unlock insights hidden in your time series data,” on September 19, 2017 from 10:00-11:00 a.m. PDT .

The post Updates to Azure Time Series Insights simplify analysis of IoT data appeared first on Internet of Things.

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