FogHorn has teamed up with Uptake to bring Edge-to-Cloud Solutions for Industrial Businesses

Chicago headquartered Uptake is the industrial artificial intelligence and IoT software leader for global industrial businesses. It combines data analytics and machine learning (ML) to harness data insights for the global industrial sector.


FogHorn is the developer of edge intelligence software for industrial and commercial IoT application solutions.

The partnership between ForHorn and Uptake will help streamline the deployment and accelerate time-to-value, of industrial IoT applications. The plans are to integrate FogHorn’s Lightning edge analytics and machine learning platform with Uptake’s purpose-built industrial AI and IoT platform, according to the announcement.

VP of partnerships at Uptake, Abhi Kunté, said, “FogHorn has made tremendous advances in IIoT edge computing over the last few years and has clearly demonstrated the value of bringing analytics and complex event processing close to the source. With this partnership, we’ll deliver more complete edge-to-cloud analytics solutions to our mutual customers across the industrial sector, enabling new solutions for asset performance management that empower users to quickly act on data-driven predictions and recommendations. The result is outcomes that help businesses unlock new value across the enterprise through improved operational performance, including uptime, reliability, and output.”

The rise of connected devices has started demanding new edge architectures. The way we process the data is no longer applicable due to different factors. These different factors are volume, velocity, and variety of data continuously generated by different sensors or connected devices. These three attributes of data vary depending on the different industries.

Due to a large number of connected devices and their intercommunication requirements, a true decentralized and distributed architecture is on the rise. These architectures need to process the data locally to make quick and real-time decisions. This requirement has given birth to Edge computing paradigm. Moving computing power local to edge devices opens up many possibilities and brings in lots of advantages. E.g. Since data processing from the sensors is done at the edge location, there would not be any round-trip latency which would be the case with the current cloud computing model. It is not just IoT but the artificial intelligence and machine learning that are driving the demand for edge computing architecture. Machine learning models can be trained in the cloud and deployed in real-time. The primary objective of bringing processing capabilities of the cloud to the edge devices is reducing the latency in decision making.

Read more Internet of Things demand Edge And Fog Computing models

Lightening portfolio by ForHorn embeds edge intelligence locally and close to the source of streaming sensor data.

According to the announcement, FogHorn’s real-time streaming analytics along with Uptake's Asset Strategy Library and their rich set of machine learning (ML) models with a comprehensive database of industrial content including equipment types, failure mechanisms, and maintenance tasks helps generate reports with meaningful insights into sensor data.

The excerpts from the announcement state that the extension of Uptake’s machine learning and AI models to the edge, pre/post processing the data through FogHorn’s Complex Event Processor (CEP) engine reduces the model size by up to 80%. This enables them to work faster and in significantly smaller compute footprints.

Jointly performing closed-loop edge-to-cloud machine learning and AI. This entails sending edge inferencing to Uptake in the cloud to tune the models, and Uptake sending the updated model back to the edge in an iterative way that’s ideal for changing operational conditions and specifications common in industrial environments.

The promise of a true sensor-to-customer integrated product offering focused on delivering financially-optimized outcomes. This is driven in part by Uptake’s recent release of its Asset Performance Management product portfolio, which provides a holistic view of the entire asset environment, and equips the industrial workforce with the tools they need to make smarter decisions, faster. The result is outcomes based on improved operational performance including uptime, reliability, and output.

Chief Technology Officer (CTO) at FogHorn, Sastry Malladi said,  “Uptake’s cloud-based industrial AI and IoT platform has cracked the code of turning complex data into real-world outcomes, empowering people, machines and businesses to make more informed decisions. By working together, we can combine this critical competency with our edge-based advanced analytics and machine learning, and extend it to the on-premises industrial environment to enable a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance, and operational intelligence use cases.”

Bitcoin is one of the early implementations of the blockchain. Bitcoin is, in fact, an innovative payment network and a cryptocurrency. It is the cryptocurrency that has almost become a baseline for other cryptocurrencies and crypto tokens.

Other popular cryptocurrencies include Ethereum (ETH), Bitcoin Cash (BCH) and Ripple XRP

Blockchain technology forms the basis of all kinds of cryptocurrencies, crypto assets and crypto tokens including Bitcoin. Refer to our coverage on top 10 things to know about blockchain. It helps in quick ramp-up on the blockchain.

Today, we are sharing infographics by the folks at bitcoinfy.net for the readers of TechSutram.

 

This BitCoin and Blockchain guide infographic was originally published at bitcoinfy.net
Opinions expressed by techsutram contributors and partners are their own.

Lanner makes a new addition to its LTE-Ready edge computing devices. Intel® based, small form factor appliance NCA-1210 has successfully received PTCRB certification. It is now validated as a reliable hardware platform for OEMs, Service Providers and System Integrators for deploying multi-site management, edge security, SD-WAN and IoT applications requiring LTE connectivity.

MISSISSAUGA, ONTARIO : Lanner Electronics, Inc. (https://www.lanner-america.com), an Intel® IoT Alliance Member and a leading original design manufacturer (ODM) of network computing appliances and gateways, today announced that its small form factor desktop appliance NCA-1210 has received the PTCRB wireless communication certification. NCA-1210 is ready for IoT edge, wireless security and multi-site management solution deployment for commercial, enterprise and public sector applications.

NCA-1210 integrates Telit’s CAT4 LTE Module (LE910-NA V2) to enable cellular communication over service provider networks. It comes in a compact desktop form factor, ideal for branch office and retail environment. As a wireless gateway for such environment, NCA-1210 is built in an x86 open architecture for flexibility to run various software and virtual network functions.

The PTCRB agency defines tests and methodology for approval of cellular devices in North America to ensure compliance with cellular network standards for operators, such as AT&T, T-Mobile, Sprint, Rogers, Bell, and Telus networks.

The NCA-1210 platform is empowered by Intel® Atom™ processor C2558 (codenamed Rangeley) to deliver the required performance and power efficiency in an edge security deployment. The processor delivers ideal performance and power balance and is programmed with Intel® QuickAssist Technology for accelerated cryptographic engine.

Feature Highlights:

• Intel® Atom™ 2558 CPU with built-in Intel QuickAssist technology.
• 4x GbE RJ45, 1x RJ45 console, 2x USB and 4x Antenna holes.
• Supports up to 16GB DDR3 memory.
• Marvell 88E1543 Quad PHY.
• Supports Gen.3 LAN bypass function.
• Dual Mini-PCIe Slots with SIM card support.
• Smart fan control.
• Optional rack mounting kit.

Applications:

• Multi-site Connectivity and Management
• Edge Security Gateway
• IoT
• SD-WAN
• vCPE

About Lanner:

Lanner Electronics Inc. has been designing and manufacturing advanced network appliances and rugged industrial applied computing platforms for over 30 years. Today more than 4000 OEMs, ISVs and Turnkey Solution Providers rely on Lanner for high-performance, reliable and cost-effective network appliances and embedded platforms, purpose-built for their applications.

For more information please visit our website at: https://www.lanner-america.com, or call 877-813-2132.

Author / PR Contact
Muneeb Khan
LEI Technology
+1 (855) 436-0119
contact@lanner-america.com



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There are still people out there that believe that bitcoin transactions are anonymous. However, the Bitcoin blockchain can be used to trace cryptocurrency transactions to specific actors and money laundering networks. Last month’s indictment against the 12 suspected Russian individuals who hacked Democratic National Committee (DNC) servers is a testament to how authorities can use the blockchain to track down offenders involved in scandalous cryptocurrency activities.

According to the indictment, the 12 suspects used bitcoin during the 2016 election period to buy the dcleaks.com domain, which was later on used to post emails pilfered from the Hillary Clinton campaign. The group also paid for the server in Malaysia that hosted the site using Bitcoin and purchased a Virtual Private Network (VPN) using the same pool of funds.

The suspects, who allegedly worked for the Russian Main Intelligence Directorate of the General Staff (GRU) unit, specialized in cyber-security operations that obtained invaluable documents through computer intrusions. They were apparently involved in large-scale operations designed to sway the U.S. presidential election and hacked emails of volunteers and employees connected to the Hillary campaign, including its chairman’s.

Using the alias Guccifer 2.0, the Russian hackers contacted a U.S. reporter and gave him access to the stolen files on the dcleaks.com site, leading to widespread news coverage. The compromising information is believed to have had an indirect impact on the elections.

Tracing Transactions Back to the DNC Hacker Group Was Easy

Tracing the Guccifer 2.0 bitcoin transactions to the culprits was relatively easy as demonstrated by Tim Cotton, a blockchain developer. He was able to trace back the purchases to the GRU unit, which hacked DNC servers while using only publicly available information. By analyzing the blockchain, which underlies bitcoin, it is possible for law enforcement and users to access the public ledger and identify a node indicating where a purchase was made.

Data found about transactions that take place on cryptocurrency exchanges is especially invaluable for law enforcement as such services usually require personal information to allow users to transact. This information can be traced back to an individual and is much more reliable than bare numbers and letters.



This article by Elizabeth Gail was originally published at CoinCentral

Opinions expressed by techsutram contributors and partners are their own.

What is ICO? 

We wrote about Initial Coin Offerings (ICO) in the past. It is one of the crowdfunding processes for any businesses or startups to raise capital in terms of cryptocurrencies instead of fiat.

If we have to compare the ICO funding process with existing ones then it can be compared with IPO (Initial Public Offerings).

Read further about ICO,
7 key side by side differences in ICO and IPO.
15 point checklist to read ICO whitepaper

The ICO Roundup - Infographics

However, we would like to share infographics from BTXchange.io at TechSutram.




This ICO Roundup infographic was originally published at btxchange.io
Opinions expressed by techsutram contributors and partners are their own.

The Internet of Things (IoT) market is known to be one of the big revenue streams in current and future markets. Now the internet of things (IoT) market is set to grow by 20.55 % CAGR over a period between 2016 and 2024. The overall market is set to generate revenue opportunity of US $1,490.31 bn by 2024 according to the latest report on the Internet of Things (IoT) market by Transparency Market Research (TMR).

There are many technologies that identify themselves as a part of the IoT revolution. Out of these key IoT technologies, ZigBee segment accounted big share in 2015 and will continue the same trajectory throughout the projected period.

ZigBee communication is IEEE 802.15.4 standard specification from ZigBee alliance. Zigbee is a low-cost and low-powered mesh network and operates at 868 MHz, 902-928MHz and 2.4 GHz frequencies in 20-80m range with a speed at 20 to 250Kbps. ZigBee communication system is less expensive and simpler as compared to other proprietary short-range wireless sensor networks as Bluetooth Low Energy, Near Field Communication, RFID and Wi-Fi etc. With the help of routers, ZigBee networks can span across many nodes in wide area network.

Segments such as manufacturing, automotive, healthcare, consumer electronics, media, and entertainment are set to drive the IoT market. Smart workplaces and residential areas, a renewed focus on the development of smart cities and interconnected processes and operations from a number of sectors are also driving the IoT market. Due to these number of big players such as Google Inc., Apple Inc., Cisco Systems Inc., and Microsoft Corp. are venturing into IoT space.

From a geographical standpoint, North America, Europe, Asia Pacific, Middle East, and Africa and Latin America are the main markets for IoT (Internet of Things) market. The most lucrative of these in North America due to major players in the area and a consumer base.

Oracle announced the availability of Oracle Autonomous NoSQL Database.  This is the fresh and newest addition to the Oracle Autonomous Database portfolio.

Oracle Autonomous NoSQL Database is a fully managed NoSQL Database service. It can handle NoSQL applications that require low latency, data model flexibility, and elastic scaling with massive-scale applications such as UI personalization, shopping carts, online fraud detection, gaming, and advertising.  Developers can focus on application development. They do not have to worry about basic infrastructure tasks such as managing servers, storage expansion, cluster deployments, software installation, or backup.

Application specific requirements or specifications such throughput and capacity can be demanded. Once requested these provisions are made, and resources are allocated and scaled accordingly to meet dynamic workload requirements. All these will be possible with the help of simple Application Programming Interfaces (APIs).

Executive vice president, Oracle Database, Andrew Mendelsohn, said, "We continue to leverage our revolutionary autonomous capabilities to transform the database market. Our latest self-driving database cloud service, Oracle Autonomous NoSQL Database, provides extreme reliability and performance at very low costs to achieve a highly flexible application development framework."

According to the announcement the Oracle Autonomous NoSQL Database offers lots of developer-friendly features that are Modern, Open and Easy to use. Modern features include key-value APIs including simple declarative SQL API and command line interfaces. Flexible data models for data representation including relational and ad-hoc JSON are few other features to highlight. The service supports a non-proprietary SQL language. It helps in delivering innovative interoperability between standard relational and standard JSON data models. Oracle claims that the application deployment does not bind users to Oracle by supporting the same application deployment in the cloud or on-premises. The service supports Software Development Kits (SDKs) in languages such as Python, Node.JS, and Java.
It can be noted that Amazon DynamoDB, a fully managed, multi-region, multi-master database, is another NoSQL database service that delivers reliable performance at any scale. It also provides features such as consistent single-digit millisecond latency, and offers built-in security, backup and restore, and in-memory caching.

Oracle now claims that Oracle Autonomous NoSQL Database delivers a significantly more reliable NoSQL database with 99.95 percent availability and is up to 70 percent lower cost than Amazon DynamoDB for read-only workloads. Oracle Autonomous NoSQL Database service uses innovative machine learning and automation capabilities claim the announcement.

The Oracle Autonomous Database service runs on Oracle Cloud Infrastructure and the autonomous database portfolio is self-driving, self-securing, and self-repairing to automate key management processes including patching, tuning and upgrading to keep critical infrastructure automatically running. Oracle Autonomous NoSQL now joins its other services such as Oracle Autonomous Transaction Processing and Oracle Autonomous Data Warehouse, launched earlier this year. All these database services are tuned to support specifics workload according to Oracle.

What do you think of this latest development? Which platform you will prefer? Is it Oracle's Autonomus Database or Amazon's DynamoDB?

Flexera has acquired RightScale, strengthening its total IT Asset Optimization Suite. RightScale is a recognized industry leader in the multi-cloud management and cost optimization.

Started in 2008, Flexera is a software asset management company and already partnered with several enterprise vendors such as Adobe, HP, IBM, and Microsoft. Acquisition of RightScale will let Flexera help their customers to solve the critical problem of cloud services overspend and control, reduce compliance and security risk.

RightScale was started in 2007 as a multi-cloud vendor and its Cloud Management Platform enables IT organizations to deliver instant access to a portfolio of public, private, and hybrid cloud services across business units and development teams while maintaining enterprise control. The supporting public and private cloud platforms include support leading public and private clouds – including Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Cloud, OpenStack, and VMware vSphere.

RightScale’s current solutions and approach have earned industry recognition.
The company was recently recognized as a leader in The Forrester Wave: Hybrid Cloud Management, Q2 2018 report, and The Forrester Wave: Cloud Cost Monitoring and Optimization, Q2 2018 report.



CEO of Flexera, Jim Ryan said, “We’re very excited about this acquisition – it’s transformational for Flexera and our customers. 60 percent of IT’s budget is driven by spend in software, hardware, and cloud.  Public cloud spend is growing rapidly and our customers have been very clear on their desire to manage public cloud costs with Flexera, just like they do for desktop, datacenter, SaaS and other IT assets.”

According to the RightScale 2018 State of the Cloud Report, a lot of businesses are already working with three or more cloud vendors.  Gartner estimates that cloud platform and infrastructure services spend is 20 percent of the IT budget today (Gartner Presentation, The Fundamentals of Software Asset Management, Matt Corsi, Gartner IT Sourcing, Procurement, Vendor & Asset Management Summit, September 2018 (IaaS 10%, PaaS 10%, n=233)).  An average 35 percent of cloud and infrastructure spend was wasted. This is where RightScale's multi-cloud cost optimization tool provides spend insights and a means to act on them has never been more important.

CEO and co-founder at RightScale, Michael Crandell said, “We share Flexera’s commitment to innovation and to delivering products that allow businesses to optimize and control rapidly evolving technology environments. With Flexera’s investment and leadership in technology asset management, we’re confident we can drive continued growth of our cloud management and cost optimization offerings.”

Managing Director at KPMG, Michael Adams said, “As the migration to the cloud continues, our clients are telling us that cloud costs are escalating at a rate much faster than they envisioned or planned for and that multi-cloud management complexities are becoming the norm – not the exception. They want to be able to control and reduce spend across all of their cloud environments with one solution.”

According to the announcement, the RightScale acquisition aligns with Flexera’s commitment to deliver the best vendor agnostic solutions to optimize and govern technology investments.  In addition, RightScale’s orchestration features can automate actions identified by other Flexera solutions.  Now Flexera gives companies the capabilities they need to stay in control of all their technology, and maximize cost savings while minimizing risks and vulnerabilities.

What do you think of this Acquisition? Let us know in the comments below.

SHIFTMobility announced today release of its Vehicle Passport, the Industry’s First Blockchain Application for Car Ownership that Delivers Rewards for Every Mile Driven.

SHIFTMobility is Automotive Cloud Platform. It integrates parts manufacturers, distributors, repair centers, and vehicles to securely drive industry connectivity and mobile commerce with blockchain.

The purpose of Vehicle Passport is to create digital identities of any vehicle and can be used to track vehicle service history, transactions, and its real-time events. Vehicle sales deed, title, insurance, proof of ownership and receipts, and other transactions can easily be made available to dealerships and service centers. If the car owners visit any of the service centers on the SHIFTMobility Network, vehicle records are automatically available on the blockchain for easy access. Consumers can also easily order and pay for replacement parts and services for using SHIFTMobility Auton digital tokens.


As per the SHIFMobilty whitepaper, When a customer purchases a vehicle, the staff at the dealership scan the VIN and enroll basic owner information. Once done, an AutOn utility token is issued to the customer and delivered directly to their personal wallet. These tokens can be used for services or vehicle and parts purchases at the dealership.  Additional tokens can be issued to customer accounts when they make additional purchases, schedule a service, respond to promotions, and other event
triggers. Customer accounts would automatically be debited with AutoOn tokens once redeemed. This incentive model allows customers to retain tokens for future services at the facility or even transfer them to the new owner.

Managing Director, Modi Group, Nidhi Modi said, “As dealership incentive spending hits record levels, optimization has never been more critical. Managing incentive plans is difficult enough with one dealership, so to tackle our multiple stores and over two million vehicles, we needed a solution capable of scaling with our growth while simultaneously delivering the insight necessary to seize the advantage. We look forward to working with SHIFTMobility as we roll out its blockchain-powered Vehicle Passport to all our locations. Not only will the app deliver the corporate intelligence we need, but our customers will benefit from a unique, streamlined experience from vehicle purchase and service to upgrade.”

The announcement further said that Vehicle Passport empowers businesses and customers to engage with one another in a transparent and trustworthy manner from the time of vehicle purchase through its maintenance lifecycle.