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How does machine learning contribute to AI?

September 19, 2019 | 89 views

David Glass, Senior Lecturer in Computer Science at Ulster University in Northern Ireland, answers questions about his talk "AI and Human Uniquenes: Are We Just Sophisticated Computing Machines?" at the 2019 European Leadership Forum.

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Infobip is an in-house developed global mobile communications platform for business. Since 2006, our mission has been to create seamless mobile interactions between businesses and people. Today, we're the omnichannel messaging behind the world's largest enterprises. Currently serving 260,000+ enterprise clients through 60 offices on 6 continents we're disrupting mediocrity, challenging the status quo and changing the way people and businesses interact through their mobile devices.

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Empowering Industry 4.0 with Artificial Intelligence

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The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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INNOVATION, SOFTWARE, FUTURE TECH

How Artificial Intelligence Is Transforming Businesses

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Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

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With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

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SOFTWARE

Why is Application Development Software Beneficial to Your Business?

Article | August 2, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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8 Epic App Innovations that Help Your Business Stand Out

Article | November 14, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The Future of AI in Defensive Cybersecurity

Article | July 20, 2022

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

Read More

Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

Read More
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Spotlight

Infobip

Infobip is an in-house developed global mobile communications platform for business. Since 2006, our mission has been to create seamless mobile interactions between businesses and people. Today, we're the omnichannel messaging behind the world's largest enterprises. Currently serving 260,000+ enterprise clients through 60 offices on 6 continents we're disrupting mediocrity, challenging the status quo and changing the way people and businesses interact through their mobile devices.

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Tableau Software has released new data capabilities with the addition of Explain Data, which aims to enhance statistical analysis and help users gain AI-driven insights from their data. The company said that the new capability uses statistical methods to determine potential explanations for what could be influencing a data point, while providing further understanding of that explanation with interactive visualizations. With Explain Data, we're bringing the power of AI-driven analysis to everyone and making sophisticated statistical analysis more accessible so that, regardless of expertise, anyone can quickly and confidently uncover the 'Why?' behind their data," said Francois Ajenstat, Chief Product Officer at Tableau. "Explain Data will empower people to focus on the insights that matter and accelerate the time to action and business impact."

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AT&T turns up AI for drones, load balancing, 5G build out

Fierce Telecom | September 26, 2019

As part of its close embrace network artificial intelligence (AI), AT&T is testing drones in New Jersey to inspect cell sites, and researching the use AI to define network policies. AT&T's Mazin Gilbert outlined his company's blueprint for artificial intelligence and machine learning on Tuesday during a keynote address at the TM Forum Action Week conference. While AT&T has successfully embraced virtualization of its network using software-defined network (SDN) and network function virtualization (NFV)—it's on track to reach its goal of 75% virtualization of the core network by next year—Gilbert said that's not enough in a world of 5G and IoT and increasing consumption of bandwidth. The network can't be just software," said Gilbert, vice president, advanced technology systems, AT&T Labs. "The network needs to be autonomous and pretty much zero touch. It needs intelligence to know when it repairs itself, when it secures itself. The network needs to be contextual, personalized."

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Mednet Releases New Expanded API for All-in-One eClinical Platform

PR Newswire | September 26, 2019

Mednet, a healthcare technology company, announced it has released an enhanced API for its eClinical software solution, iMednet. The new API delivers increased functionality of the iMednet platform and simplifies the process for data extraction, increasing the speed in which clinical research teams can share and export study data into other software or platforms. The enhanced API was recently released in beta and is available to all customers. Enhanced data integration capabilities represent a key component in Mednet's near-term development plan to fully optimize its comprehensive, all-in-one eClinical solution to support the future of clinical trials. As the clinical trial industry evolves, study designs are becoming more complex. There is also a growing number of new data sources, presenting both new opportunities and requirements and demanding clinical research to adopt new processes for collection, storage, analysis and reporting of data. Mednet is in the midst of a multi-release plan to address the evolving needs and opportunities for clinical trials and expanding its data extraction capabilities represents a critical step.

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Demand Gen Report | September 26, 2019

Tableau Software has released new data capabilities with the addition of Explain Data, which aims to enhance statistical analysis and help users gain AI-driven insights from their data. The company said that the new capability uses statistical methods to determine potential explanations for what could be influencing a data point, while providing further understanding of that explanation with interactive visualizations. With Explain Data, we're bringing the power of AI-driven analysis to everyone and making sophisticated statistical analysis more accessible so that, regardless of expertise, anyone can quickly and confidently uncover the 'Why?' behind their data," said Francois Ajenstat, Chief Product Officer at Tableau. "Explain Data will empower people to focus on the insights that matter and accelerate the time to action and business impact."

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Fierce Telecom | September 26, 2019

As part of its close embrace network artificial intelligence (AI), AT&T is testing drones in New Jersey to inspect cell sites, and researching the use AI to define network policies. AT&T's Mazin Gilbert outlined his company's blueprint for artificial intelligence and machine learning on Tuesday during a keynote address at the TM Forum Action Week conference. While AT&T has successfully embraced virtualization of its network using software-defined network (SDN) and network function virtualization (NFV)—it's on track to reach its goal of 75% virtualization of the core network by next year—Gilbert said that's not enough in a world of 5G and IoT and increasing consumption of bandwidth. The network can't be just software," said Gilbert, vice president, advanced technology systems, AT&T Labs. "The network needs to be autonomous and pretty much zero touch. It needs intelligence to know when it repairs itself, when it secures itself. The network needs to be contextual, personalized."

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PR Newswire | September 26, 2019

Mednet, a healthcare technology company, announced it has released an enhanced API for its eClinical software solution, iMednet. The new API delivers increased functionality of the iMednet platform and simplifies the process for data extraction, increasing the speed in which clinical research teams can share and export study data into other software or platforms. The enhanced API was recently released in beta and is available to all customers. Enhanced data integration capabilities represent a key component in Mednet's near-term development plan to fully optimize its comprehensive, all-in-one eClinical solution to support the future of clinical trials. As the clinical trial industry evolves, study designs are becoming more complex. There is also a growing number of new data sources, presenting both new opportunities and requirements and demanding clinical research to adopt new processes for collection, storage, analysis and reporting of data. Mednet is in the midst of a multi-release plan to address the evolving needs and opportunities for clinical trials and expanding its data extraction capabilities represents a critical step.

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