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Real-Time Analytics in the Internet of Things (IoT)

ParStream’s Analytics Platform was purpose-built for scale to handle the massive volumes and high velocity of IoT data. The Platform helps companies generate timely, actionable insights from IoT data by providing more innovative and efficient ways to analyze that data – faster, with greater flexibility and closer to the source.The Platform uniquely queries at the source of data for real-time analysis as data is being loaded. It also provides unified analytics of real-time data in every query and generates more accurate insights for decision-makers with the continuous import of new data.The Platform is powered by ParStream DB, a patented database which has consistently been recognized for industry-leading performance with sub-second query response times in analyzing billions of rows of data. It also includes innovative tools such as Geo-Distributed Analytics, Alerts & Actions, Time Series, Advanced Analytics, interfaces for the leading streaming/ETL technologies, and seamless integration of the leading visualization tools for IoT.

Spotlight

Shilonext

ShilohNEXT Data Services is built on the Microsoft Azure platform, putting the world’s fastest, most secure cloud operating system at it’s core. By leveraging Azure SQL technology, you can consolidate all your critical data on a single, scalable platform, allowing you to easily migrate between legacy applications and the latest cloud-based offerings.

OTHER ARTICLES
IoT Security

Security Implications of Cloud-based IoT Software

Article | October 11, 2023

Physical and digital security are changing due to cloud-based IoT software, which makes it possible to combine them and use them to utilize data better. In almost every sector, data is essential to success, and security is no exception. To better understand what's going on in your business, you can combine cloud-based solutions that contain all the information on a single interface. For instance, integrating security camera feeds with cloud-based access control systems enables real-time visual identification verification. Utilizing cloud-based IoT technology also enhances productivity and enables quick replies. Combining digital and physical security, often known as security convergence, is another technique to optimize IoT and cloud-based security solutions. To guard against internet flaws and intrusions, a cloud-based physical security system needs cybersecurity software. In a similar vein, physical security measures prevent sensitive data from getting into the wrong hands. Teams for physical and cyber security might combine to provide a more comprehensive plan of action. Maintaining current versions of the technology you are using in your security plan is necessary for future-proofing your technology. To ensure that your cloud-based system has no vulnerabilities that could expose your company to cybersecurity risks, it is crucial to keep all software updated. Updates can be automated and carried out remotely with cloud-based software, requiring little effort on your part to keep your software current. You have the chance to develop a security system that is future-proof when a firm adopts cloud-based IoT technologies as part of your security plan. When organizations use IoT technology, cybersecurity is a significant concern. However, combining physical and digital security lets you ensure your cloud-based system is well-protected from vulnerabilities. In addition, your security and IT teams will be better able to manage the evolving security landscape if you combine physical and digital security ideas.

Read More
Enterprise Iot

IOT MARKET & TRENDS

Article | July 20, 2023

2022 looks bright for power optimization! The vibrant research and development in Internet of Things (IoT) is fueling the expansion of wireless monitoring solutions and enabling giant leaps in terms of low-power design. A longer lifetime for your batteries, and thus for your device, is a dream about to come true. We have gathered some of the most notable power optimization trends that are getting us all excited for 2022… 5G, the next era of broadband cellular networks will offer improved power saving capabilities The next wave of wider 5G cellular technology is designed to support various new highly challenging industrial use cases. These usually require increased hardware complexity and more processing, together with higher processing power. These requirements can raise power consumption quite significantly. Smart power consumption and energy efficiency are thus becoming keys for the success of these applications and 5G technology.To that extent, 5G New Radio (NR) has progressed swiftly. The new 3GPP™ release is designed to significantly improve the performance, flexibility, scalability, and efficiency of current mobile networks. Improved power saving features now allow IoT developers to get the most out of the available battery capacity. This could make all the difference for new IoT use cases and efficiencies. A new generation of sensors are optimized for low power technologies New families of ‘breakthrough’ sensors, based on anultra-low power architectureare optimized for use in compact wireless devices. These sensors offer a richer set of functionalities and can be combined to create new insights (sensor fusion). One of the greatest challenges facing developers of these small form-devices is power consumption. Aware of these limitations, hardware manufacturers have been working hard to address them. Integrated circuit designs and techniques are now using less power while smart processing capabilities are enabling the sensors to intelligently manage sensing functionalities,delivering ultra-low power performance for best-in-class power consumption. The use of advanced Low Energy Bluetooth and wireless protocols (e.g. Bluetooth Low Energy (BLE) or ZigBee Green Power) also allows the transmission of data to the gateway more efficiently compared to prior solutions, opening new possibilities for developers. Big Data, Analytics, Machine Learning and Edge computing are picking up the pace The explosion in data volume and diversity is forcing organizations to rethink the way they process the information. Indeed, capturing, sending and processing the information in the cloud can be taxing for the network, the storage and the computing infrastructures which demands more processing power, hence the need to keep the transmission window as short as possible. This has led to the development of advanced devices capable of collecting, processing and storing data autonomously before the data is sent to the servers. This concept is calledEdge computing. By reducing the need for data to be streamed through the networks, diminishing computing and processing costs,Edge computing contributes to optimizing power performance, whilst delivering quality data in a more sustainable way. The rise of DevOps and new IoT Device Management platforms are contributing to better efficiency and better devices The rise ofDevOpshas been swift. Derived from Development and Operations, ‘DevOps’ teams are responsible for making sure that the infrastructure is being maintained properly.With the help of IoT Device Management platforms—which are a central part of today’s IoT ecosystems— DevOps teams can better manage, scale and operate their fleet of devices remotely and reduce long-term operational costs.One of the areas that benefits from the rise of DevOps implementation is power supply optimization, as more efficient protocols such as Lightweight Machine to Machine (LwM2M) allow for device and battery monitoring, remote device actions and faster communication. Harvesting technologies are becoming more effective Power harvesting technologies include processes where energy from ambient sources such as the sun, temperature, movement or wind, is captured and stored to power wireless autonomous devices. Now gaining experience,harvesting technologies can exploit natural resources better than ever before. As a result,the gap between the power requirements of embedded systems and the energy generated by energy harvesting systems is finally closing. Industrial applications for these technologies are still very limited, but coupled to efficient rechargeable batteries, they can present new opportunities for devices deployed in wild remote areas. Power optimization tools are becoming increasingly exhaustive and reliable Battery optimization is everyone's business and needs to be considered throughout the overall system performance analysis, from prototyping to deployment and on toward maintenance cycles. Several innovating tools haveappeared on the market over the past few years and developers have now access toa rich ecosystem of tools to analyze their overall system performance. Wisebatt for Saft for example can help creating a virtual prototype and simulate its consumption.Deutsche Telekom’s IoT Solution Optimizergoes even further. You can model the complete system to identify potential energy consumption issues or leaks. The system can not only recommend the right combination of power saving features based on your use case, but also can help you visualize how communication payload size, protocol use and communication frequency impact your battery life. When at the prototype stage,Qoitec Otii solution measures in real time the consumption of your device at various temperatures, up to the measurement of the firmware and hardware operations without the need for expensive testing. These tools are constantly enhanced and improved to deliver better analysis and more accurate data. With an increased awareness from IoT developers of the stakes of power consumption and the growing rate of low-power innovations, batteries are now able to outlive the devices they’re in. This opens the doors tomany new markets and applications and above all to more sustainable consumption patterns. When we told you the future looks bright, we weren’t joking!

Read More
IoT Security

Microsoft acquires ReFirm Labs to enhance IoT security

Article | June 28, 2023

Modern computing devices can be thought of as a collection of discrete microprocessors each with a dedicated function like high-speed networking, graphics, Disk I/O, AI, and everything in between. The emergence of the intelligent edge has accelerated the number of these cloud-connected devices that contain multiple specialized sub-processors each with its own firmware layer and often a custom operating system. Many vulnerability analysis and endpoint detection and response (EDR) tools find it challenging to monitor and protect devices at the firmware level, leading to an attractive security gap for attackers to exploit. At the same time, we have also seen growth in the number of attacks against firmware where sensitive information like credentials and encryption keys are stored in memory. A recent survey commissioned by Microsoft of 1,000 security decision-makers found that 83 percent had experienced some level of firmware security incident, but only 29 percent are allocating resources to protect that critical layer. And according to March 2021 data from the National Vulnerability Database included in a presentation from the Department of Homeland Security’s Cybersecurity and Infrastructure Agency (CISA) at the 2021 RSA, difficult-to-patch firmware attacks are continuing to rise. Microsoft’s Azure Defender for IoT team (formerly CyberX) recently announced alongside the Department of Homeland Security a series of more than 25 critical severity vulnerabilities in IoT and OT devices

Read More
Enterprise Iot

Unlocking the IoT Potential with AI

Article | July 11, 2022

Artificial intelligence is becoming increasingly crucial in IoT applications and deployments. Over the past two years, investments and acquisitions in firms that combine AI and IoT have increased. IoT platform software from top suppliers now includes integrated AI features, including machine learning-based analytics. When artificial intelligence is linked with the internet of things, we get Artificial Intelligence of Things (AIoT). The prime motive for combining AI and IoT is that, while IoT devices are used to gather data and send it to a cloud or other location where it can be stored using the internet, AI, which is regarded as the brain of AIoT, is what actually aids in decision-making and simulates how machines would act or react. Other artificial intelligence (AI) tools, such as speech recognition and computer vision, can assist reveal patterns in data that previously needed human evaluation. AI applications for IoT-enabled companies help them avoid several issues: Preventing expensive unplanned downtime Predictive maintenance can lessen the adverse economic effects of unplanned downtime by employing analytics to anticipate equipment failure and arrange orderly maintenance processes. In order to predict equipment failure, machine learning enables the discovery of patterns in the continuous streams of data produced by today's technology. Operational efficiency advancement IoT with AI capabilities can also increase operational effectiveness. By processing continuous data streams to find patterns invisible to the human eye and not visible on simple gauges, machine learning can predict operating conditions and identify parameters that need to be adjusted immediately to maintain ideal results, just as it can predict equipment failure. Improved risk management IoT and AI-powered applications enable businesses to automate for quick reaction, better analyze and predict a range of hazards, and control worker safety, financial loss, and cyber threats. Finding an IoT system that does not incorporate AI could soon be uncommon. With the help of AI, organizations can truly enhance the potential IoT and effectively put it into use for improving the overall functioning.

Read More
IoT Security

Top Technologies in IoT Network Security for Network Resilience

Article | October 11, 2023

Physical and digital security are changing due to cloud-based IoT software, which makes it possible to combine them and use them to utilize data better. In almost every sector, data is essential to success, and security is no exception. To better understand what's going on in your business, you can combine cloud-based solutions that contain all the information on a single interface. For instance, integrating security camera feeds with cloud-based access control systems enables real-time visual identification verification. Utilizing cloud-based IoT technology also enhances productivity and enables quick replies. Combining digital and physical security, often known as security convergence, is another technique to optimize IoT and cloud-based security solutions. To guard against internet flaws and intrusions, a cloud-based physical security system needs cybersecurity software. In a similar vein, physical security measures prevent sensitive data from getting into the wrong hands. Teams for physical and cyber security might combine to provide a more comprehensive plan of action. Maintaining current versions of the technology you are using in your security plan is necessary for future-proofing your technology. To ensure that your cloud-based system has no vulnerabilities that could expose your company to cybersecurity risks, it is crucial to keep all software updated. Updates can be automated and carried out remotely with cloud-based software, requiring little effort on your part to keep your software current. You have the chance to develop a security system that is future-proof when a firm adopts cloud-based IoT technologies as part of your security plan. When organizations use IoT technology, cybersecurity is a significant concern. However, combining physical and digital security lets you ensure your cloud-based system is well-protected from vulnerabilities. In addition, your security and IT teams will be better able to manage the evolving security landscape if you combine physical and digital security ideas.

Read More
Enterprise Iot

Securing Real-world IoT Applications through Penetration Testing

Article | July 20, 2023

2022 looks bright for power optimization! The vibrant research and development in Internet of Things (IoT) is fueling the expansion of wireless monitoring solutions and enabling giant leaps in terms of low-power design. A longer lifetime for your batteries, and thus for your device, is a dream about to come true. We have gathered some of the most notable power optimization trends that are getting us all excited for 2022… 5G, the next era of broadband cellular networks will offer improved power saving capabilities The next wave of wider 5G cellular technology is designed to support various new highly challenging industrial use cases. These usually require increased hardware complexity and more processing, together with higher processing power. These requirements can raise power consumption quite significantly. Smart power consumption and energy efficiency are thus becoming keys for the success of these applications and 5G technology.To that extent, 5G New Radio (NR) has progressed swiftly. The new 3GPP™ release is designed to significantly improve the performance, flexibility, scalability, and efficiency of current mobile networks. Improved power saving features now allow IoT developers to get the most out of the available battery capacity. This could make all the difference for new IoT use cases and efficiencies. A new generation of sensors are optimized for low power technologies New families of ‘breakthrough’ sensors, based on anultra-low power architectureare optimized for use in compact wireless devices. These sensors offer a richer set of functionalities and can be combined to create new insights (sensor fusion). One of the greatest challenges facing developers of these small form-devices is power consumption. Aware of these limitations, hardware manufacturers have been working hard to address them. Integrated circuit designs and techniques are now using less power while smart processing capabilities are enabling the sensors to intelligently manage sensing functionalities,delivering ultra-low power performance for best-in-class power consumption. The use of advanced Low Energy Bluetooth and wireless protocols (e.g. Bluetooth Low Energy (BLE) or ZigBee Green Power) also allows the transmission of data to the gateway more efficiently compared to prior solutions, opening new possibilities for developers. Big Data, Analytics, Machine Learning and Edge computing are picking up the pace The explosion in data volume and diversity is forcing organizations to rethink the way they process the information. Indeed, capturing, sending and processing the information in the cloud can be taxing for the network, the storage and the computing infrastructures which demands more processing power, hence the need to keep the transmission window as short as possible. This has led to the development of advanced devices capable of collecting, processing and storing data autonomously before the data is sent to the servers. This concept is calledEdge computing. By reducing the need for data to be streamed through the networks, diminishing computing and processing costs,Edge computing contributes to optimizing power performance, whilst delivering quality data in a more sustainable way. The rise of DevOps and new IoT Device Management platforms are contributing to better efficiency and better devices The rise ofDevOpshas been swift. Derived from Development and Operations, ‘DevOps’ teams are responsible for making sure that the infrastructure is being maintained properly.With the help of IoT Device Management platforms—which are a central part of today’s IoT ecosystems— DevOps teams can better manage, scale and operate their fleet of devices remotely and reduce long-term operational costs.One of the areas that benefits from the rise of DevOps implementation is power supply optimization, as more efficient protocols such as Lightweight Machine to Machine (LwM2M) allow for device and battery monitoring, remote device actions and faster communication. Harvesting technologies are becoming more effective Power harvesting technologies include processes where energy from ambient sources such as the sun, temperature, movement or wind, is captured and stored to power wireless autonomous devices. Now gaining experience,harvesting technologies can exploit natural resources better than ever before. As a result,the gap between the power requirements of embedded systems and the energy generated by energy harvesting systems is finally closing. Industrial applications for these technologies are still very limited, but coupled to efficient rechargeable batteries, they can present new opportunities for devices deployed in wild remote areas. Power optimization tools are becoming increasingly exhaustive and reliable Battery optimization is everyone's business and needs to be considered throughout the overall system performance analysis, from prototyping to deployment and on toward maintenance cycles. Several innovating tools haveappeared on the market over the past few years and developers have now access toa rich ecosystem of tools to analyze their overall system performance. Wisebatt for Saft for example can help creating a virtual prototype and simulate its consumption.Deutsche Telekom’s IoT Solution Optimizergoes even further. You can model the complete system to identify potential energy consumption issues or leaks. The system can not only recommend the right combination of power saving features based on your use case, but also can help you visualize how communication payload size, protocol use and communication frequency impact your battery life. When at the prototype stage,Qoitec Otii solution measures in real time the consumption of your device at various temperatures, up to the measurement of the firmware and hardware operations without the need for expensive testing. These tools are constantly enhanced and improved to deliver better analysis and more accurate data. With an increased awareness from IoT developers of the stakes of power consumption and the growing rate of low-power innovations, batteries are now able to outlive the devices they’re in. This opens the doors tomany new markets and applications and above all to more sustainable consumption patterns. When we told you the future looks bright, we weren’t joking!

Read More
IoT Security

Explore Top IoT Security Conferences to Attend in 2023 and Beyond

Article | June 28, 2023

Modern computing devices can be thought of as a collection of discrete microprocessors each with a dedicated function like high-speed networking, graphics, Disk I/O, AI, and everything in between. The emergence of the intelligent edge has accelerated the number of these cloud-connected devices that contain multiple specialized sub-processors each with its own firmware layer and often a custom operating system. Many vulnerability analysis and endpoint detection and response (EDR) tools find it challenging to monitor and protect devices at the firmware level, leading to an attractive security gap for attackers to exploit. At the same time, we have also seen growth in the number of attacks against firmware where sensitive information like credentials and encryption keys are stored in memory. A recent survey commissioned by Microsoft of 1,000 security decision-makers found that 83 percent had experienced some level of firmware security incident, but only 29 percent are allocating resources to protect that critical layer. And according to March 2021 data from the National Vulnerability Database included in a presentation from the Department of Homeland Security’s Cybersecurity and Infrastructure Agency (CISA) at the 2021 RSA, difficult-to-patch firmware attacks are continuing to rise. Microsoft’s Azure Defender for IoT team (formerly CyberX) recently announced alongside the Department of Homeland Security a series of more than 25 critical severity vulnerabilities in IoT and OT devices

Read More
Enterprise Iot

Unlocking the IoT Potential with AI

Article | July 11, 2022

Artificial intelligence is becoming increasingly crucial in IoT applications and deployments. Over the past two years, investments and acquisitions in firms that combine AI and IoT have increased. IoT platform software from top suppliers now includes integrated AI features, including machine learning-based analytics. When artificial intelligence is linked with the internet of things, we get Artificial Intelligence of Things (AIoT). The prime motive for combining AI and IoT is that, while IoT devices are used to gather data and send it to a cloud or other location where it can be stored using the internet, AI, which is regarded as the brain of AIoT, is what actually aids in decision-making and simulates how machines would act or react. Other artificial intelligence (AI) tools, such as speech recognition and computer vision, can assist reveal patterns in data that previously needed human evaluation. AI applications for IoT-enabled companies help them avoid several issues: Preventing expensive unplanned downtime Predictive maintenance can lessen the adverse economic effects of unplanned downtime by employing analytics to anticipate equipment failure and arrange orderly maintenance processes. In order to predict equipment failure, machine learning enables the discovery of patterns in the continuous streams of data produced by today's technology. Operational efficiency advancement IoT with AI capabilities can also increase operational effectiveness. By processing continuous data streams to find patterns invisible to the human eye and not visible on simple gauges, machine learning can predict operating conditions and identify parameters that need to be adjusted immediately to maintain ideal results, just as it can predict equipment failure. Improved risk management IoT and AI-powered applications enable businesses to automate for quick reaction, better analyze and predict a range of hazards, and control worker safety, financial loss, and cyber threats. Finding an IoT system that does not incorporate AI could soon be uncommon. With the help of AI, organizations can truly enhance the potential IoT and effectively put it into use for improving the overall functioning.

Read More
MORE ARTICLES

Spotlight

Shilonext

ShilohNEXT Data Services is built on the Microsoft Azure platform, putting the world’s fastest, most secure cloud operating system at it’s core. By leveraging Azure SQL technology, you can consolidate all your critical data on a single, scalable platform, allowing you to easily migrate between legacy applications and the latest cloud-based offerings.

Related News

Platforms

Jacobs Acquires Mobility Analytics Leader StreetLight Data, Inc

Jacobs | February 08, 2022

Jacobs announced today it has acquired StreetLight Data, Inc. ("StreetLight"), a pioneer of mobility analytics who uses its vast data and machine learning resources to shed light on mobility, enabling users to solve complex transportation problems. The addition of StreetLight accelerates Jacobs' strategy in growing its end-to-end digital solutions portfolio and focus on ESG, while adding high growth, highly recurring revenue software businesses that offer tremendous value for its clients and the communities they serve. StreetLight applies proprietary processing technology to location data from millions of mobile devices, connected vehicles, IoT sensors and geospatial databases to measure multimodal travel patterns – and makes them available via its online SaaS (Software as a Service) solution StreetLight InSight®. Designed for smart cities and the transportation industry, the on-demand software provides industry-targeted analytic tools to support critical infrastructure planning, investment and policy decisions. "The past two years have accelerated structural changes to human mobility, infrastructure and supply chain planning, resulting in increased investments from governments and enterprises around the world. We're also experiencing a critical need for data-driven planning to meet carbon emissions goals, address energy transformation and advance social equity through infrastructure investment," said Jacobs Chair and CEO Steve Demetriou. "There is a global need for solutions that help us better understand the movement of people, goods and services while addressing broader societal challenges, and our acquisition of StreetLight solidifies our leadership in this fast-growing area." StreetLight's suite of powerful analytics enables all major transportation verticals to make vastly more informed investment decisions while measuring critical impacts. Delivering more than a modern alternative to traditional measurement methods with months of lead time and limited scope, the company's technology has enabled the industry to solve complex problems, such as planning EV networks ahead of future demand, recommending optimal traffic pattern improvements and helping to ensure equitable transportation access. "We chose Jacobs because they genuinely share our mission and recognize the importance of StreetLight's digital innovation in adapting their own core practices to the needs of an industry undergoing transformation. They have the global scale to rapidly accelerate client decision making at a pivotal time for infrastructure investment and its impact on climate and society." StreetLight CEO Laura Schewel StreetLight has a long track record of supporting transportation agencies at federal, state, regional and city levels, transportation engineering and consulting firms, and private companies spanning the new mobility, automotive, IoT and utility sectors. The company's metrics have informed transportation analyses across every state and province in North America. Demetriou continued, "We consistently seek to add value for our shareholders, create transformative solutions for our clients, and make a positive difference within our communities. Like Jacobs, StreetLight is purpose-driven and shares in our commitment to create a more connected, sustainable world." One of the growth accelerators in Jacobs' new strategy is centered on data solutions aligned to high growth markets with increasing margin profiles. Building on its strong foundation of existing technology and data capabilities, the company also recently acquired BlackLynx, an industry-leading edge computing, hybrid-cloud and collection automation technology provider serving the intelligence, defense and critical infrastructure sectors. Jacobs' portfolio of data and technology investments will be leveraged in tandem to create expanded market penetration, growth opportunities and solutions for its clients. About Jacobs At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. With $14 billion in revenue and a talent force of approximately 55,000, Jacobs provides a full spectrum of professional services including consulting, technical, scientific and project delivery for the government and private sector. About StreetLight StreetLight is a pioneer in the use of Big Data analytics to help transportation professionals solve their biggest problems. Applying proprietary machine-learning algorithms to over four trillion spatial data points over time, StreetLight measures diverse travel patterns and makes them available on-demand via its SaaS platform for mobility, StreetLight InSight®. From identifying sources of congestion to optimizing new infrastructure to planning for autonomous vehicles to enhancing the location of outdoor advertising and business facilities, StreetLight powers more than 10,000 global projects every month.

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Enterprise Iot

Telefonica Among Top 4 Leaders in IoT market according to Recently Released Report by Transforma Insights

Telefonica | October 27, 2020

Telefónica has been perceived among the Top 4 pioneers in the as of late delivered report 'Communications Service Providers IoT Peer Benchmarking 2020' by research firm Transforma Insights. The report depends on investigation of the procedures of the main ten worldwide Communication Service Providers (CSP) over a different scope of capacities in IoT across three classes: technical, geographical and vertical. The report singles out Telefónica "as having a solid situation over every one of the classifications" and features the open doors since the IoT and Big Data capacities have converged in a similar specialty unit as a major aspect of Telefónica Tech. “These are changing times for Telefónica. Its newly announced structure presents a lot of opportunities for the IoT business. The new management team could trigger some interesting new investments and the new organization has a number of good differentiators. Most prominent amongst these is a strong data analytics and visualization capabilities courtesy of the integration of LUCA (its Big Data and AI division) with the IoT offering. It also has strong offerings in retail and cybersecurity.” “Transforma Insights also likes the interesting approaches to connectors stitching together the elements of the IoT proposition, including pre-integration with IoT public clouds”, states the report adding that ” the integration of the IoT and Big Data business creates more freedom, particularly to look for inorganic opportunities of growth”. As per the report, Telefónica stays in the extraordinary gathering of pioneers regarding worldwide reach and organization limit (24.3 million IoT connections at the end of June 2020) and features different abilities: The forcefulness in LPWA innovations conveying both NB-IoT and LTE-M in Europe and starts to lead the pack in Latin America where basically no different administrators have moved at this point. It likewise noticed some great successes in private 5G networks Telefónica has additionally made sure about some great successes in private 5G networks in Brazil, Germany and Spain. The imaginative way to deal with creating connectors between the different components of gadget, organizations, cloud and arrangements/examination, developing it for additional future differentiators, for example including edge computing capabilities. The union of their portfolio dependent on five principle enterprises: Mobility, Retail, Energy, Industry and Smart Cities, where Telefónica has likewise worldwide frameworks reconciliation capacities and a broad Big Data/Analytics/IoT counseling group. “We are working in the evolution of our vision to take IoT and Big Data Services to a next level, creating an independent, flexible and faster organization and a more comprehensive approach to the market. This is a game changer and our value proposition stands out because we offer complete and extensive end-to-end IOT solutions, combined with our capabilities in Big Data and Artificial Intelligence. We help and support our customers in all that journey, from sensors to value extracted from data.” says Gonzalo Martín-Villa, Global Director of IoT and Big Data at Telefónica Tech. At last, Transforma Insights additionally features Telefónica's IoT security focused technique through its coordinated effort with ElevenPaths, Telefónica Tech's cybersecurity organization, and notes the ongoing interest in Nozomi, a main OT and IoT security organization, just as its cooperation with Subex on an answer for danger discovery breaking down IoT traffic on networks.

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BIGTINCAN EXPANDS TECH MARKET PRESENCES WITH ACQUISITION OF VEELO INC.

Bigtincan | July 25, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation, today announced the acquisition of Veelo Inc., a pioneer in sales enablement, to expand Bigtincan’s presence and offerings in the technology market vertical. The combination of Bigtincan’s solution, designed with the mobile-first user in mind, and Veelo’s focus on traditional sales enablement with key enhancements for desktop and web solutions, will augment and compliment the different ways sales teams work, no matter which platform they choose. Veelo’s award-winning sales enablement platform increases sales performance by predicatively guiding sellers on what to know, say and do. Designed with brain science principles in mind, the Veelo Vault ready-made sales enablement templates showcase the most relevant resources available to each sales person. Veelo’s intelligent search also provides instant access for teams to quickly find relevant images, videos, blog posts and documents. Bigtincan will integrate the Veelo Sales Enablement Platform with the Bigtincan platform to provide additional capabilities to sales teams, including the creation of a single pane of reference for users to manage content and training materials, and automatically deliver them to user devices.

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Platforms

Jacobs Acquires Mobility Analytics Leader StreetLight Data, Inc

Jacobs | February 08, 2022

Jacobs announced today it has acquired StreetLight Data, Inc. ("StreetLight"), a pioneer of mobility analytics who uses its vast data and machine learning resources to shed light on mobility, enabling users to solve complex transportation problems. The addition of StreetLight accelerates Jacobs' strategy in growing its end-to-end digital solutions portfolio and focus on ESG, while adding high growth, highly recurring revenue software businesses that offer tremendous value for its clients and the communities they serve. StreetLight applies proprietary processing technology to location data from millions of mobile devices, connected vehicles, IoT sensors and geospatial databases to measure multimodal travel patterns – and makes them available via its online SaaS (Software as a Service) solution StreetLight InSight®. Designed for smart cities and the transportation industry, the on-demand software provides industry-targeted analytic tools to support critical infrastructure planning, investment and policy decisions. "The past two years have accelerated structural changes to human mobility, infrastructure and supply chain planning, resulting in increased investments from governments and enterprises around the world. We're also experiencing a critical need for data-driven planning to meet carbon emissions goals, address energy transformation and advance social equity through infrastructure investment," said Jacobs Chair and CEO Steve Demetriou. "There is a global need for solutions that help us better understand the movement of people, goods and services while addressing broader societal challenges, and our acquisition of StreetLight solidifies our leadership in this fast-growing area." StreetLight's suite of powerful analytics enables all major transportation verticals to make vastly more informed investment decisions while measuring critical impacts. Delivering more than a modern alternative to traditional measurement methods with months of lead time and limited scope, the company's technology has enabled the industry to solve complex problems, such as planning EV networks ahead of future demand, recommending optimal traffic pattern improvements and helping to ensure equitable transportation access. "We chose Jacobs because they genuinely share our mission and recognize the importance of StreetLight's digital innovation in adapting their own core practices to the needs of an industry undergoing transformation. They have the global scale to rapidly accelerate client decision making at a pivotal time for infrastructure investment and its impact on climate and society." StreetLight CEO Laura Schewel StreetLight has a long track record of supporting transportation agencies at federal, state, regional and city levels, transportation engineering and consulting firms, and private companies spanning the new mobility, automotive, IoT and utility sectors. The company's metrics have informed transportation analyses across every state and province in North America. Demetriou continued, "We consistently seek to add value for our shareholders, create transformative solutions for our clients, and make a positive difference within our communities. Like Jacobs, StreetLight is purpose-driven and shares in our commitment to create a more connected, sustainable world." One of the growth accelerators in Jacobs' new strategy is centered on data solutions aligned to high growth markets with increasing margin profiles. Building on its strong foundation of existing technology and data capabilities, the company also recently acquired BlackLynx, an industry-leading edge computing, hybrid-cloud and collection automation technology provider serving the intelligence, defense and critical infrastructure sectors. Jacobs' portfolio of data and technology investments will be leveraged in tandem to create expanded market penetration, growth opportunities and solutions for its clients. About Jacobs At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. With $14 billion in revenue and a talent force of approximately 55,000, Jacobs provides a full spectrum of professional services including consulting, technical, scientific and project delivery for the government and private sector. About StreetLight StreetLight is a pioneer in the use of Big Data analytics to help transportation professionals solve their biggest problems. Applying proprietary machine-learning algorithms to over four trillion spatial data points over time, StreetLight measures diverse travel patterns and makes them available on-demand via its SaaS platform for mobility, StreetLight InSight®. From identifying sources of congestion to optimizing new infrastructure to planning for autonomous vehicles to enhancing the location of outdoor advertising and business facilities, StreetLight powers more than 10,000 global projects every month.

Read More

Enterprise Iot

Telefonica Among Top 4 Leaders in IoT market according to Recently Released Report by Transforma Insights

Telefonica | October 27, 2020

Telefónica has been perceived among the Top 4 pioneers in the as of late delivered report 'Communications Service Providers IoT Peer Benchmarking 2020' by research firm Transforma Insights. The report depends on investigation of the procedures of the main ten worldwide Communication Service Providers (CSP) over a different scope of capacities in IoT across three classes: technical, geographical and vertical. The report singles out Telefónica "as having a solid situation over every one of the classifications" and features the open doors since the IoT and Big Data capacities have converged in a similar specialty unit as a major aspect of Telefónica Tech. “These are changing times for Telefónica. Its newly announced structure presents a lot of opportunities for the IoT business. The new management team could trigger some interesting new investments and the new organization has a number of good differentiators. Most prominent amongst these is a strong data analytics and visualization capabilities courtesy of the integration of LUCA (its Big Data and AI division) with the IoT offering. It also has strong offerings in retail and cybersecurity.” “Transforma Insights also likes the interesting approaches to connectors stitching together the elements of the IoT proposition, including pre-integration with IoT public clouds”, states the report adding that ” the integration of the IoT and Big Data business creates more freedom, particularly to look for inorganic opportunities of growth”. As per the report, Telefónica stays in the extraordinary gathering of pioneers regarding worldwide reach and organization limit (24.3 million IoT connections at the end of June 2020) and features different abilities: The forcefulness in LPWA innovations conveying both NB-IoT and LTE-M in Europe and starts to lead the pack in Latin America where basically no different administrators have moved at this point. It likewise noticed some great successes in private 5G networks Telefónica has additionally made sure about some great successes in private 5G networks in Brazil, Germany and Spain. The imaginative way to deal with creating connectors between the different components of gadget, organizations, cloud and arrangements/examination, developing it for additional future differentiators, for example including edge computing capabilities. The union of their portfolio dependent on five principle enterprises: Mobility, Retail, Energy, Industry and Smart Cities, where Telefónica has likewise worldwide frameworks reconciliation capacities and a broad Big Data/Analytics/IoT counseling group. “We are working in the evolution of our vision to take IoT and Big Data Services to a next level, creating an independent, flexible and faster organization and a more comprehensive approach to the market. This is a game changer and our value proposition stands out because we offer complete and extensive end-to-end IOT solutions, combined with our capabilities in Big Data and Artificial Intelligence. We help and support our customers in all that journey, from sensors to value extracted from data.” says Gonzalo Martín-Villa, Global Director of IoT and Big Data at Telefónica Tech. At last, Transforma Insights additionally features Telefónica's IoT security focused technique through its coordinated effort with ElevenPaths, Telefónica Tech's cybersecurity organization, and notes the ongoing interest in Nozomi, a main OT and IoT security organization, just as its cooperation with Subex on an answer for danger discovery breaking down IoT traffic on networks.

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BIGTINCAN EXPANDS TECH MARKET PRESENCES WITH ACQUISITION OF VEELO INC.

Bigtincan | July 25, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation, today announced the acquisition of Veelo Inc., a pioneer in sales enablement, to expand Bigtincan’s presence and offerings in the technology market vertical. The combination of Bigtincan’s solution, designed with the mobile-first user in mind, and Veelo’s focus on traditional sales enablement with key enhancements for desktop and web solutions, will augment and compliment the different ways sales teams work, no matter which platform they choose. Veelo’s award-winning sales enablement platform increases sales performance by predicatively guiding sellers on what to know, say and do. Designed with brain science principles in mind, the Veelo Vault ready-made sales enablement templates showcase the most relevant resources available to each sales person. Veelo’s intelligent search also provides instant access for teams to quickly find relevant images, videos, blog posts and documents. Bigtincan will integrate the Veelo Sales Enablement Platform with the Bigtincan platform to provide additional capabilities to sales teams, including the creation of a single pane of reference for users to manage content and training materials, and automatically deliver them to user devices.

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