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Artificial Intelligence Breakthroughs Lead to Unprecedented M&A Growth, Reveals Hampleton Partners’ Report

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Hampleton Partners’ latest analysis of the Artificial Intelligence M&A market reveals that over 150 deals were disclosed in 2018, up from 105 deals in 2017. The first half of 2019 is also showing impressive AI-related M&A momentum, with 65 deals already recorded and a total of near 100 deals forecast for the half-year only. In terms of market value, AI is forecast to grow from $21.46 billion in 2018 to $190 billion by 2025 – in other words, to grow nine-fold over the next seven-year period[1].

Heiko Garrelfs, sector principal, Hampleton Partners, said:
“Q1 2019 has set the pace for the rest of the year, with record-breaking M&A transaction volumes in two of three artificial intelligence sub-sectors. With the growth and competitiveness of many industries now dependent on the development of these AI technologies, strategic investors across all sectors and continents are stepping up their acquisitions and investments.

“Artificial intelligence is one of the fastest-moving sectors, thriving off great momentum and yielding game-changing outcomes.”

Artificial intelligence has moved from the experimental into the developmental phase of the innovation cycle. As the application of AI grows increasingly widespread across almost all verticals, several industries are now dependent on AI advancements to ensure their growth and competitiveness, including autonomous vehicles, IoT, healthtech, e-commerce, insurance and smart cities.

These industries look for artificial intelligence that can propel their next technology push, improve efficiency and productivity, streamline business models, and reduce latency and fragmentation.

Machine data analysis and edge AI
The first quarter of 2019 has proven a record period in M&A transaction volume for the machine data analysis sector with 46 deals.

Machine data analysis has recently shown an inclination towards Edge AI – i.e. running AI algorithms on edge devices such as smartphones or cars, rather than communicating with a central cloud or server – which allows devices to safeguard privacy, avoiding the purported insecurity of cloud-based data systems.

Edge computing also allows devices to process information locally and respond more quickly, which is vital for the development of Internet of Things (IoT) and autonomous vehicle technology, where immediate response is a necessity.

Computer vision
Computer vision experienced a stellar half-year in 2H 2018, mainly owing to growth in hot trends such as facial recognition, check-out-free retail or motion analysis, all of which enable the collection of more insights and provide information for future market opportunities.

Facial recognition is fast becoming a dominant form of biometric authentication, with early commercial applications in security, retail, payments and consumer electronics – Apple’s latest smartphone technology for Face ID logins and payments being one of the commercially popular use-cases. Retailers are also adopting the technology to recognise returning customers – a strategy used to offer special discounts as part of loyalty programmes.

Furthermore, as increasingly smart city infrastructure adopts security cameras, video analytics can be widely applied using facial recognition to detect and track offenders or suspects in public spaces.

Language analysis and conversational AI
Global tech companies east and west have focused heavily on Conversational AI. Google’s integration of Duplex – its new AI-driven automated reservation-making system – into the Pixel 3 smartphone, transformed the Google handheld device into an AI powerhouse.

However, Apple’s Siri has lagged far behind Amazon’s Alexa and Google’s Assistant in terms of voice recognition ability and development. It was no surprise, therefore, that in February 2019 Apple acquired PullString, a speech recognition software development SaaS which enables businesses to build interrelated applications for IoT devices.

Many companies believe the problem is not the speech recognition technology itself, but the lack of focus and reasoning within these systems. As a result, intent detection – i.e. the ability to determine from context what the user wants – has become the new research focus area for speech recognition start-ups who are willing to challenge the hegemons and fill in the gaps in big tech AI.

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YAO Network: The Blockchain Paradise Developers Have Been Waiting For

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Permissioned blockchain? Private blockchain? Public blockchain? Fret not for YAO Network accepts them all. YAO Network is a cloud service paradise for new blockchain projects looking for a community to nestle in and make their homes there. By integrating cloud computation with decentralized computation, the YAO Network is able to support computation eco-platforms of multiple blockchain networks, maximizing the utility of all participants while helping projects to achieve their technological targets and generate value.

The YAO Network was built for a vision: to benefit developers and to help enterprises achieve much more, freeing the successes of blockchain technologies for all to enjoy. This vision grounds the design of YAO Network’s architecture as the platform seeks to establish a comprehensive service and utility computation platform where Pareto optimality is achieved amongst developers, enterprises, and overall public utility.

Like many other blockchain platforms out there, technology remains a key factor in determining a platform’s functionality. The YAO Network certainly has a strong pillar of support in its robust technical infrastructure to achieve its goals.

1. YAO Network integrates multiple computation paradigms in utility computation.

The YAO Network platform effectively combines three computational paradigms, cloud computing, decentralized computing and encrypted computing, to meet the demands of different applications and create maximum computation utility.

Cloud computation has been gaining massive popularity as a computational model in many enterprises and the public. The advantages of cloud computation are numerous. It saves cost for enterprises, developers and the public while offering flexible workload deployments, which enhances the overall utility of both individuals and society.

Recognizing the advantages of cloud computation, the YAO Network platform makes cloud computing the only carrier of all service and computation units in the blockchain. Cloud computing is not only utilized for deployments and encrypted computation of centralized applications, but also widely applied in decentralized blockchain networks.

2. YAO Network standardizes decentralized and centralized computation units based on cloud computation.

Different computation units have been designed for various types of applications to promote the usage of blockchains in the public domain. YaoLet is the solution designed by the YAO Network for decentralized applications, while BuildPack is its equivalent for centralized applications designed based on PaaS. The entire architecture is rested on these two solutions alongside other services. As YaoLet and BuildPack are both multiplexed; developers and service providers can participate in the sharing of YaoLet and BuildPack and reap the rewards through corresponding YAO Network reward system.

3. YAO Network allows softwares to define blockchain through topological orchestration and virtualization.

Most computations are no longer an isolated and individual computation unit; they have complex interconnections that are unified by a topological structure. This combination of computational units is achieved through topological orchestration.

On one hand, new services and components can be combined and orchestrated by existing computation units. On the other hand, various infranets in blockchains can also be orchestrated to establish corresponding nodes and services. Most blockchain architectures like YAO Network take on a modularized approach where interledger general blockchain protocols are made viable through plugging and unplugging every component and service as well as modularizing operations. The blockchain network becomes the virtual superposition of peer-to-peer networks, making it possible to define new blockchain network models and service models through virtual and abstract orchestrations.

4. YAO Network supports multiple blockchain network architectures and paradigms including public blockchains, permissioned blockchains and private blockchains.

The blockchain network within YAO Network supports three types of blockchains, namely public blockchain, permissioned blockchain and private blockchain. They can be broken down into shared and exclusive nodes based on the extent of its isolation. Enterprises and developers can build on shared blockchains or create their own exclusive blockchains on the YAO Network platform. Another alternative would be to classify the blockchain network based on its testnet and mainnet, and their applications.

5. YAO Network maximizes utility of developers, enterprises and the general public.

YAO Network is a one-stop blockchain service platform for blockchain service consumers, developers and enterprises to share innovations both in public and private. One of the biggest hurdles blockchain has yet to overcome is its low adoption rate and thus the YAO Network has provided blockchain PaaS services for developers to utilise and a platform where they can release their blockchain products directly to blockchain service providers. This forms a healthy supply and demand ecosystem as iterations of blockchain products are incubated or eliminated based on practicality and impact. Those that are proven viable will unite and form a larger blockchain ecosystem and platform.

Developers even earn the chance to make some profits through the YAO Network. The network rewards developers when their creations are utilised by others. In addition, the YAO Network has three specific function modules in terms of product modality: blockchain marketplace, enterprise aggregation and solutions, and developer community. This forms a trinity that works together to serve both developers and enterprises. Driven by supply, YAO Network solves the scarcity of blockchain comprehensive services by connecting and bridging between developers and enterprises, in order to establish a healthy and organic ecosystem where all participants have maximum utility within the system.

6. YAO Network has high inclusivity in the system.

A well-designed architecture should have open interfaces. Every layer delivers its own functions, and is connected to each other through the same cross layer interface. The YAO Network system is designed based on important principles including openness, security, technology neutrality, verifiability in the future, interoperability, scalability, modularization, manageability and dependability, to achieve inclusivity in the system.

YAO Network embraces existing and future blockchain applications and is committed to establishing a comprehensive computation platform with multiple blockchains, multiple computational paradigms and integrated utilities.

 

SOURCE YAO Network

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New Research Reveals SafelyYou’s AI-Enabled Fall Detection Reduces Need for Emergency Service Care in Dementia Care Facilities

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Real-time fall detection using SafelyYou’s artificial intelligence-enabled video recording reduced the need for emergency services by a staggering 80% in dementia care facilities, according to research results published in the American Journal of Managed Care. The study closely examined the impact of SafelyYou’s memory care-focused technology to detect falls, videotape falls and notify care staff so that video review of the incident could occur immediately after each fall.

“According to the Alzheimer’s Association Report (2016), fall injury is the leading cause of Alzheimer dementia–related hospitalizations, with $5.3 billion in annual cost to Medicare,” said Glen Xiong, Advisory Board Member for SafelyYou. “In residential care facilities, individuals with dementia fall, on average, four times per year and twice as often as other residents. Falls often go unwitnessed. Due to uncertainty regarding the seriousness of each fall, facility staff frequently activate local emergency medical teams to examine the residents, and such visits often result in emergency department visits.”

The study, supported in part by a National Institutes of Health, National Institute of Aging Small Business Innovation Research Grant, was conducted with enrolled participants on June 1 to Aug. 31, 2018. Fall incidents and outcomes were routinely recorded for facility residents, and facility staff reviewed the falls in real time, immediately after each incident, for study participants.

Among 147 falls in the control group, 52 (35.4%) resulted in EMT visits and 36 (24.5%) resulted in ED visits. In contrast, the intervention group had 83 falls, with 13 (15.7%) and seven (8.3%) resulting in EMT and ED visits, respectively. There were relative reductions of 75% in EMT visits and 80% in ED visits.

The AI-enabled camera fall detection system coupled with staff review of fall videos led to more accurate identification of serious falls and incidents compared with less serious falls, such as when a resident intentionally moved to the ground but did not fall.

“Using emergency services less frequently leads to lowered healthcare costs and stress for everyone,” said George Netscher, CEO of SafelyYou. “Speaking with families and hearing the testimonials is really the very best part of our day.”

For more information on the pilot study results, visit: American Journal of Managed Care. To learn more about reducing falls and ED visits for residents in memory care, contact info@safely-you.com.

 

SOURCE SafelyYou

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Metadata.io Emerges as MarTech Force with Rapid Company Growth and Leader Position in G2 Crowd Summer 2019 Momentum Grid® Report for Account-based Execution

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Metadata.io (https://www.metadata.io/), the AI-powered account-based advertising platform for predictable B2B lead generation, today announced it is fast rising as a leader in the MarTech industry based on customer satisfaction. As a second-place Leader in G2 Crowd’s Summer 2019 Momentum Grid® Report for Account-based Execution, Metadata helps CMOs deliver a qualified pipeline to sales organizations by generating a predictable flow of inbound MQLS from within their target accounts.

Metadata customers like Nutanix, Nexmo and others have repeatedly won awards for best performing campaigns on LinkedIn and Facebook. They are among a growing list of early adopters that are achieving the industry’s top benchmarks in customer acquisition and ROAs using Metadata.

See the full Summer 2019 Momentum Grid Report here: http://bit.ly/2xGyaA5

“Our ranking is 100 percent attributed to our sophisticated customer base who bravely adopted early AI technology and achieved great ROI multiplier through automation and experimentation,” said Gil Allouche, CEO of Metadata. “Together, we are transforming marketing operations with AI. With Metadata, B2B marketers gain unprecedented ROI from digital investment, in a more predicted, measured fashion.”

“Our investment with Metadata empowered us to automatically target and convert sales-qualified leads that not only impacted revenue, but completely automated and simplified the execution of our account-based campaigns,” said Rob Bethell, Marketing Manager at RStudio.

For the quarterly Grid Momentum Report, G2 Crowd rates products based on reviews gathered from the user community, as well as data aggregated from online sources and social networks. The Momentum Grid for Account-based Execution is based on scores calculated using the G2 Satisfaction algorithm and G2 Momentum algorithm from reviews collected through May 29, 2019. In the Summer 2019 momentum report, Metadata showed strong growth in reviews, social and web.

 

SOURCE Metadata.io

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