rfc1819

Emerging markets: a breeding ground for cyber attacks

By Zenobia Hegde

As emerging markets race to join the digital revolution they are fast becoming a fruitful feeding ground for cybercriminals, who are preying on their security weaknesses and using them to launch attacks on the rest of the world.

The United Nations (UN) recently reported that that shockingly only 38% of countries have a published cybersecurity strategy, highlighting a huge chasm between countries in terms of awareness, understanding, knowledge and the ability to deploy cybersecurity capabilities and programs “to ensure a safe and appropriate use of technology as an enabler for economic development”, says Jan Howells, contract media specialist at Futurity Media.

The increasing use of mobile technology, the internet, online banking, ecommerce and social media have marked out developing countries such as Brazil, India, Zambia, Vietnam and Namibia as targets for cybercriminals who are singling out everyone from consumers to government and commercial organizations as a potential hit.

Due to increased cybersecurity and data privacy laws throughout developed countries, hackers are using emerging markets to test attacks and later launch them on wealthier countries with advanced defense strategies as it is much easier to protect their anonymity. The Wannacry ransomware attack, which caused more than 45,000 infected machines globally, was felt strongly in India which accounted for 5% of all infected machines, according to Kaspersky Labs. Hackers have also been known to test spear phishing attacks in French and English speaking African companies to iron out any flaws before launching the malware on advanced nations.

A recent report by the Inter-American Development Bank (IDB) and the Organization of American States (OAS), for example, highlighted the fact that four out of five countries in the Latin America and Caribbean regions have “potentially devastating” vulnerabilities. Two out of three countries do not have a command and control center for cybersecurity, for example, and the majority of prosecutors lack the capacity to punish cybercrimes.

While some countries such as Colombia, Jamaica, Panama and Trinidad are working to put cybersecurity strategies in place, although at varying degrees of maturity, others such as Costa Rica, Dominica and Paraguay are only just beginning the process.

Opening the doors to cybercriminals

The risks have grown as emerging markets have rushed to join the digital revolution, often without regard for security or viewing it as an afterthought. Latin America and the Caribbean region is now the fourth largest mobile market in the world and half its population have internet access. These risks will multiply with the advent of IoT, warns the IDB and OAS, if action isn’t taken now.

Consider El Salvador. It has a 30% internet penetration which is growing. However there are no awareness campaigns regarding the threats of cyberattacks, phishing and hacking and general public awareness is low. The private sector, however, has been quick to recognize its importance and is providing training for employees.

Barbados on the other hand has a much higher internet use rate, so you think would be switched on to cybersecurity. But you would be wrong. Around 75% of Barbados’s population is now connected to the internet, but cybersecurity stakeholders are still […]

The post Emerging markets: a breeding ground for cyber attacks appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

GE Digital unveils industrial software solutions to help customers execute complete asset strategy, accelerating digital transformation

By Zenobia Hedge

GE unveiled expansions to its suite of edge-to-cloud technologies and industrial applications, designed to help its customers build a complete asset strategy. These additions to the GE Digital portfolio complement the key software applications that drive industrial productivity, and extend these benefits through Predix, the application development platform for the Industrial Internet.

To help industrial companies get the most out of their industrial assets and drive better buisness outcomes, GE Digital introduced: Predix Edge technologies to accelerate computing at the edge; the Predix platform combined with Microsoft Azure, the cloud for enterprises; new Operations Performance Management software to bridge productivity from assets to operations; enhanced Field Service Management solutions to improve the customer experience; and new platform tools to simplify industrial app development.

“Industrials that unlock data to master asset productivity will be positioned to lead,” said Bill Ruh, chief digital officer of GE and chief executive officer, GE Digital. “To power digital transformation, industrial organisations must understand every stage of the asset lifecycle. The company that designs, builds, operates, maintains and services industrial assets is best equipped to help others with their Industrial IoT journeys. And only GE offers the combination of industrial apps, underpinned by an industrial platform, to ultimately drive customer outcomes.”

Edge-to-cloud intelligence on any industrial asset, anywhere

By 2022, Gartner predicts that 75% of enterprise data will be created and processed outside the data center or cloud. The ability to compute and manage this information both at the edge and in the cloud are essential for industrial companies to truly optimise their operations.

To help customers accelerate their edge strategies and make any asset an intelligent asset, GE Digital is expanding its Predix Edge capabilities to help run analytics as close to the source of data as possible. Predix Edge gives customers with limited connectivity, latency limitations, regulatory, security or other constraints a way to deploy applications closer to the originating data – or at the edge.

Enhancements include:

Predix Edge Manager allows customers to support large fleets of edge devices – up to 200,000 connected devices from a single console.
Predix Machine enables microservice-based applications to run at the edge on customers’ virtualised data centre infrastructure or server-class hardware from GE or its partners. This also supports Predix Edge Manager, which was previously available only as a cloud service.
Predix complex event processing (CEP) allows for faster and more efficient event processing at extreme low latency, available at the edge in Q1 2018.

These edge solutions can help companies move from intelligent asset management to automation to insights-led machine learning across a distributed system. One example is EdgeLINC, a comprehensive edge-to-cloud solution from GE Transportation integrated with Predix Edge Manager, Predix Machine and Asset Performance Management applications. EdgeLINC enables efficient device management, configuration and streaming analytics even when machines, such as rail assets, are constantly moving in and out of communication.

Bill Ruh

Predix platform on Microsoft Azure

GE Digital and Microsoft are bringing together the advanced industrial platform services of Predix with the flexible, enterprise-proven services of Microsoft Azure. Available in North America starting Q4 2017 and […]

The post GE Digital unveils industrial software solutions to help customers execute complete asset strategy, accelerating digital transformation appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Study: 75% of U.S. Consumers Believe Smart Cities Will Positively Impact Their Lives, When Educated on the Benefits

By IoT – Internet of Things

Silver Spring Networks, Inc. and Power Over Energy recently unveiled the findings from their Smart Cities Consumer Research Study, conducted with the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Advanced Grid Research. More than 500 U.S. consumers took part in the online study. Respondents were representative of the U.S. Census, ranging […]

The post Study: 75% of U.S. Consumers Believe Smart Cities Will Positively Impact Their Lives, When Educated on the Benefits appeared first on IoT – Internet of Things.

Read more here:: iot.do/feed

Actility selects Stripe as payments partner to power up US and global expansion for ThingPark market

By Sheetal Kumbhar

Actility, the provider in IoT network enablers, announced that the company has selected Stripe, a San Francisco based technology company focusing on online payments and commerce infrastructure, to accelerate the global roll-out of ThingPark Market. ThingPark Market is already the market-leading e-commerce platform for LoRaWAN IoT, offering for sale over 175 products from more than 75 […]

The post Actility selects Stripe as payments partner to power up US and global expansion for ThingPark market appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Smart sensor market revenue will reach $81.99bn by 2024, says Esticast Research and Consulting

By Sheetal Kumbhar

The report “Smart sensor market by Product (Image, Touch, motion, temperature, pressure, positions), Industry Trends, Estimation & Forecast, 2016-2024”, says the global smart sensor market was valued at $20.75 billion in 2016, and is projected to reach $81.99 billion by 2024, growing at a CAGR (compound annual growth rate) of 18.9% from 2017 to 2024. In 2016, Image […]

The post Smart sensor market revenue will reach $81.99bn by 2024, says Esticast Research and Consulting appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Before the Next Disaster Strikes, Get Better at Data Science

By Eddie Amos

One of the most disruptive events for any industrial organization is asset failure. From halted production and costly physical damage to safety concerns for workers and the environment, the impacts of asset failure remain one of the top risks for industrial companies.

Each year offshore oil and gas operators experience an average of $49 million in financial impact due to unplanned downtime, and this figure can reach upwards of $88 million for the worst asset failures.

Whether from product or equipment loss, cancelled services or a recall, the direct cost of downtime is a primary consideration for industrial companies when thinking about big data strategy. In many cases the indirect costs of damaged reputation and loss of market share are equally, if not more disruptive.

For these increasingly digital-driven organizations, data is one tool that can mitigate the risk of asset failure. With applied data science and advanced software, data can provide critical insight into machine health and help predict mechanical failures before they happen. More than ever, progressive data science is helping industrial operating facilities transition from reactive to proactive maintenance techniques that ensure compliance, improve safety and ultimately save big dollars long term.

The food and beverage industry is one market where data is becoming a critical player. With strict food safety standards in place around the world, data analytics systems such as asset performance management (APM) can help operators remain compliant. Companies are able to assess the risks of various facility and process changes by modeling the data from assets for different scenarios. This is particularly important for temperatures.

In 2014, damaged equipment at a frozen food plant was attributed to a listeria outbreak. The company recalled more than 400 products sold at major retailers and laid off 300 employees as a result.

Studies show that having a data-driven approach to maintenance results in a 36% less unplanned downtime (Azizi Embong/Shutterstock)

If food packaging, storage and transportation assets aren’t operating under precise conditions at the right temperatures, bacteriological contamination will harm customers and the brand. With APM systems in place, asset performance can be managed to reduce contamination risks while maintaining equipment availability.

The benefits of a predictive data analytics strategy in any industry seem obvious, but the journey often seems difficult for many. Fewer than 24 percent of oil and gas operators describe their maintenance approach as a predictive one based on data and analytics. Instead, more than 75 percent take a reactive or time-based approach understanding the high-stakes of failure. Data analytics is daunting for industrial businesses, especially considering that a single blade in a gas turbine can generate 500 gigabytes of data each day and as much content as the print collection of the Library of Congress over the span of 30 days. And that’s just one blade.

A combination of deep domain expertise and technology helps drive more meaningful outcomes. Data scientists are successful in driving meaningful insights when they combine historical information from facility assets with the real-time data produced from the Industrial Internet. To initially overcome data anxiety, many data teams now rely on machine learning in APM technology to code historical asset data and properly categorize manual and automated system inputs for an accurate view of asset performance and health over time. Historical data helps benchmark assets and put real-time present data into context. Without it, operators aren’t able to draw predictions based on performance trends.

APM relies on software platforms, analytics and key insights to turn data into a tool of operational excellence and continued success. Establishing a baseline and continuing to benchmark assets across the organization and industry helps operators identify assets with chronic failures and the causes of failure to drive failure elimination efforts that transition the reactive maintenance approach to a proactive one. By spotting failure trends and characteristics earlier through data, industrial organizations improve overall asset reliability and cut costs.

When industrial operators use a predictive, data-driven approach to maintenance, they experience 36 percent less unplanned downtime than those with a reactive approach. This results in, on average, $17 million dropping to the bottom line annually. Smart sensors and automation technologies promise to make the production processes more efficient and safer than ever before, but only when that data is put to work. Without the proper data science behind a company’s maintenance strategy, failures will always be on the horizon – and operators won’t see them coming.

About the author: Eddie Amos is GM/VP APM Software at GE Digital. He is responsible for GE Digital’s APM software strategy and was previously Vice President at Juniper Networks and a Partner and General Manager at Microsoft. He works with a wide range of oil and gas companies to help them better manage and utilize their big data from equipment sensors to make more strategic decisions and stay ahead of market changes.

Related Items:

Data Opportunities Slipping Through the Cracks

The Data of Things: How Edge Analytics and IoT Go Hand In Hand

IoT Seen Driving AI Adoption

The post Before the Next Disaster Strikes, Get Better at Data Science appeared first on Datanami.

Read more here:: www.datanami.com/feed/

Cisco Investors backs Actility as it announces new investors in US$75m Series D funding round

By Sheetal Kumbhar

Actility, a provider in Low Power Wide Area Networks (LPWAN) for Internet of Things (IoT), announced at the LoRa Alliance™ All Members’ Meeting that Cisco Investments has taken a stake in the company’s $75 million Series D funding round. Cisco is joining BNP Paribas alongside existing investors including Creadev, Orange, Inmarsat and Robert Bosch Venture Capital. […]

The post Cisco Investors backs Actility as it announces new investors in US$75m Series D funding round appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Actility acquires Abeeway to create a best-in-class portfolio for IoT location services

By Sheetal Kumbhar

Actility, a provider of Low Power Wide Area Networks (LPWAN) has acquired Abeeway, a geolocation system provider. The acquisition is Actility’s first following a US$75 million fundraising round (see: Actility raises US$75m Series D funds to speed industrial IoT solutions globally, adds new backers) supported by new and existing investors intended to enhance its technology portfolio […]

The post Actility acquires Abeeway to create a best-in-class portfolio for IoT location services appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Actility raises US$75m of Series D capital to accelerate industrial IoT solutions globally and adds new backers

By Sheetal Kumbhar

Actility, a provider of Low Power Wide Area Networks (LPWAN) for the Internet of Things (IoT), has successfully completed its Series D funding round. The company has raised $75 million to enhance its IoT solutions portfolio. The company’s expansion will focus on enabling industrial IoT solutions in key verticals: logistics and supply chain; smart buildings; […]

The post Actility raises US$75m of Series D capital to accelerate industrial IoT solutions globally and adds new backers appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

IoT Sensors Market to Reach US$34.75 bn by 2023, Driven by Transformative Potential of IoT

By akashchry

Internet of Things (IoT) refers to a network that is implanted with network connectivity, electronics, sensors, and software aiding the gathering and exchanging of data via physical objects. With IoT becoming ubiquitous, sensors are emerging as a potential solution for determining the physical qualities of objects and converting it into a measurable value which can […]

The post IoT Sensors Market to Reach US$34.75 bn by 2023, Driven by Transformative Potential of IoT appeared first on IoT – Internet of Things.

Read more here:: iot.do/feed