The AI Times Monthly Newspaper

Curated Monthly News about Artificial Intelligence and Machine Learning
Informed AI Group – 5th Anniversary

Informed AI Group – 5th Anniversary

Celebrating Five Years of the Informed.AI Group

Press Release: 1st June 2020 6pm BST

We are pleased to announce our fifth anniversary. What is now the Informed.AI Group, under the brand of Neurons.AI and Awards.AI was started back in May 2015. We have undergone a number of expansions and transformation over that past 5 years, the most recent has only just been completed (more on that later), but we started with just one site as a directory of useful information, called homeAI.info. This quickly expanded to add our Events and Awards sites. 

We then added our online members platform, Neurons.AI and started the journey of added in person meet-ups, creating a network of groups all around the world. 

Last year, we added AI and Robotics Events & Conferences to our Informed AI family, running a number of Director Forum One Day Events, A round table and an amazing AI & Robotics Conference last October. 

We have always been true to our mission of adding more and more services and activities that support the knowledge sharing on artificial intelligence. Building a global community of people interested in learn more about AI. 

Like many events companies this year, we have had to rethink our meet-ups and events strategy with the impact of Covid-19, and will be launching a number of online only events in the second half of this year.

Our Awards, have grown bigger and bigger each year. Now in its 5th Awards, and nominations still open until the 31st July, we will also be reverting to an online announcement of winners in Nov/Dec.

Awards.AI

The AI Awards, have been a huge success on a global scale, we have already awarded over 120 winners of the AI Awards. (See the Awards Hall of Fame) Now in our 5th year  we are currently still open for nominations, across 60+ categories of awards, the judging will occurring in the coming months with the online awards ceremony happening in late November / early December. 

This is the Oscars of the AI tech world, the only independent AI Awards. 

Neurons.AI

We have now consolidated a number of our separate websites into the Neurons.AI brand. Now into.AI has been moved to main site of Neurons. The Neurons member site, is now accessible from https://members.neurons.ai Our Events.AI site that listed many of the AI meetups, events and conferences is now moved to https://events.neurons.ai.

Our AI & Robotics Events and Conference have moved to https://conference.neurons.ai and https://showcase.neurons.ai 

Our Career Portal, previously called Vocation.AI is now at https://jobs.neurons.ai 

We continue to grow our Professional Network for AI Practitioners and Researchers call Neurons. This is a mix of both online and offline interactions, with meetups, forums, user blogs and messaging. This platform allows us to facilitate the knowledge sharing between organisations, allowing us all to benefit from the open developments of this field. 

The AI Future Show

Founder Professor Andy Pardoe is launching his AI Future Show later this month, this will focus on a number of themes and topics to support the sharing of knowledge about the latest products and approaches. 

  • AI Now & Next – The Now and Next Series covers a variety of AI topics, with one eye on the future. Both technical and business subjects will be discussed.
  • AI Showcases – With an Industry and Sector perspective on AI use cases and challenges.
  • AI Spotlights – Vendor and Technology spotlights, discussions with the vendor companies and their users. This gives great insight into the latest capabilities.
  • Ventures – Cover some of the most innovative Deep Tech and AI startups from the UK and from around the globe, but also discussions on the Startup landscape, startup challenges and opportunities.
  • Academy – Covering a range of skills and career development topics, personal and business coaching and mentoring
  • Dev Mgr – Specific theme on technical leadership, career development, mentoring and how the profession is changing

For more information and to get links to your favourite podcast platforms visit https://Pardoe.AI/Show 

We Value your Support Feedback and Comments

As always, your feedback is welcomed and encouraged, as we want to make sure we are delivering useful sites and functionality. The best way to do this is email us at talk@into.AI

Thank you for your continued support and encouragement.

From the Informed AI Team

Our group of websites includes:

https://Neurons.AI

https://Awards.AI

https://Informed.AI (company website)

Our social media:

@into_AI
@Awards_AI
@Events_AI
@Showcase_AI
@Vocation_AI
@Neurons_AI
@Informed_AI

With thanks

Andy

Prof Andy Pardoe

Founder of the Informed.AI Group

Pardoe.AI

@Pardoe_AI

Free Listings for Digital Conferences and Events

All,

Given the current situation with the global lockdown and continued social distancing, we appreciate that many events have either moved their dates to later in the year, or decided to transform to be digitally delivered conferences or events.

To support the AI industry and AI media businesses, we are happy to give a 100% discount on all digital event listing for the rest of 2020 (for events being delivered in 2020).

We hope this will help everyone to understand the unusual calendar of events in 2020.

Please contact us with updated details and dates for your events, and we will endeavour to get the information updated as soon as possible.

If your events are scheduled for May and June please highlight this when you submit your details.

 


Link to Full Article: Read Here

We Need to Talk about AI

Announcing that the film documentary called “WE NEED TO TALK ABOUT AI” is Internationally released today.

A balanced documentation discussing AI both now and the possibilities of AI in the future. Having a considered examination of the pros and cons (practical and philosophical) of Artificial General Intelligence and the future of humanity.

I am proud to be one of the AI advisors to the director Leanne Pooley and production team for this documentary.

It covered many of the aspects and concerns of developing Artificial General Intelligence, highlighting why we will only get one chance to get this technology development right, and challenges the motives of those who are currently most likely to be the ones creating and maybe controlling the Superintelligence of the future.

It also discusses in detail the interaction between Human Intelligence and Machine Intelligence, and illustrates how this relationship may change as the AI becomes more advanced.

Released internationally today on Amazon Prime, with a free preview link and other release dates given below:

The roll out is as follows:
International (excluding the USA, Australia & NZ) – April 20th
The United States –  May 18th
Australia and New Zealand – August 5th 

And the film credits:

The post We Need to Talk about AI appeared first on NEURONS.AI.


Link to Full Article: Read Here

We Need to Talk about AI

Announcing that the film documentary called “WE NEED TO TALK ABOUT AI” is Internationally released today.

A balanced documentation discussing AI both now and the possibilities of AI in the future. Having a considered examination of the pros and cons (practical and philosophical) of Artificial General Intelligence and the future of humanity.

I am proud to be one of the AI advisors to the director Leanne Pooley and production team for this documentary.

It covered many of the aspects and concerns of developing Artificial General Intelligence, highlighting why we will only get one chance to get this technology development right, and challenges the motives of those who are currently most likely to be the ones creating and maybe controlling the Superintelligence of the future.

It also discusses in detail the interaction between Human Intelligence and Machine Intelligence, and illustrates how this relationship may change as the AI becomes more advanced.

Released internationally today on Amazon Prime, with a free preview link and other release dates given below:

The roll out is as follows:
International (excluding the USA, Australia & NZ) – April 20th
The United States –  May 18th
Australia and New Zealand – August 5th 

And the film credits:

The post We Need to Talk about AI appeared first on NEURONS.AI.


Link to Full Article: Read Here

New Member Introductions

Since closing down the meetup groups we have seen a steady increase in members joining the online platform which is great.

Why not introduce yourself on our forums or by creating a blog post on here?

It would be great if we can start to introduce ourselves and share our experience and what we are looking for from here

Please start the conversation and lets start talking about AI

The post New Member Introductions appeared first on NEURONS.AI.


Link to Full Article: Read Here

New Member Introductions

Since closing down the meetup groups we have seen a steady increase in members joining the online platform which is great.

Why not introduce yourself on our forums or by creating a blog post on here?

It would be great if we can start to introduce ourselves and share our experience and what we are looking for from here

Please start the conversation and lets start talking about AI

The post New Member Introductions appeared first on NEURONS.AI.


Link to Full Article: Read Here

Meet the Expert: Tim O’Reilly and David Heinemeier Hansson A fireside chat on remote work and innovation April 8, 10:00am PT / 1:00pm ET

Join O’Reilly for a very special conversation between Tim O’Reilly, founder and CEO of O’Reilly Media, and David Heinemeier Hansson, creator of Ruby on Rails and cofounder and CTO at Basecamp. They’ll cover some of the key themes from three of David’s best-selling books—It Doesn’t Have to Be Crazy at Work, REWORK, and REMOTE: Office Not Required—as they examine how remote work can lead to more innovation and personal satisfaction and discuss how to run a calm company by forgoing the lure of excessive growth and making your time count for more.

https://www.oreilly.com/pub/cpc/314067


Link to Full Article: Read Here

Meet the Expert: Tim O’Reilly and David Heinemeier Hansson A fireside chat on remote work and innovation April 8, 10:00am PT / 1:00pm ET

Join O’Reilly for a very special conversation between Tim O’Reilly, founder and CEO of O’Reilly Media, and David Heinemeier Hansson, creator of Ruby on Rails and cofounder and CTO at Basecamp. They’ll cover some of the key themes from three of David’s best-selling books—It Doesn’t Have to Be Crazy at Work, REWORK, and REMOTE: Office Not Required—as they examine how remote work can lead to more innovation and personal satisfaction and discuss how to run a calm company by forgoing the lure of excessive growth and making your time count for more.

https://www.oreilly.com/pub/cpc/314067


Link to Full Article: Read Here

Webinars from ReWork

April 7, RE•WORK Webinar: The Potential of AI for Pandemics – https://bit.ly/2J4YuJP

April 24, RE•WORK Webinar: Fighting AI Bias With High-Quality Training Data – https://bit.ly/395yVmz

May 15, RE•WORK Webinar: AI for Accessible Education – https://bit.ly/3bahvXt

June 5, RE•WORK Webinar: AI for Climate Change – https://bit.ly/3941WPG

June 19, RE•WORK Webinar: AI for Crisis Prediction & Management – https://bit.ly/3boZoxd 


Link to Full Article: Read Here

Webinars from ReWork

April 7, RE•WORK Webinar: The Potential of AI for Pandemics – https://bit.ly/2J4YuJP

April 24, RE•WORK Webinar: Fighting AI Bias With High-Quality Training Data – https://bit.ly/395yVmz

May 15, RE•WORK Webinar: AI for Accessible Education – https://bit.ly/3bahvXt

June 5, RE•WORK Webinar: AI for Climate Change – https://bit.ly/3941WPG

June 19, RE•WORK Webinar: AI for Crisis Prediction & Management – https://bit.ly/3boZoxd 


Link to Full Article: Read Here

Ultima Autonomous Cloud

Autonomous Cloud Launches to Address

Cloud Cost and Performance Issues

Ultima’s new automated cloud service set to change cloud market

The time consuming and manual processes involved with deploying and operating workloads in the cloud has traditionally led to inaccuracies and spiralling costs. Automation and infrastructure service provider Ultima is today launching Autonomous Cloud to help businesses radically improve their cloud provisioning and Business as Usual (BAU) activities.

To effectively operate workloads in the cloud, many repetitive and manual processes are involved such as sizing, load balancing, deploying, patching, and monitoring and management. Whilst necessary, these are often fraught with human errors leading to delays with the workload’s availability and even security vulnerabilities.

By automating the maintenance, security and support requirements through Ultima’s Autonomous Cloud, the benefits of the cloud can be delivered without the operational pain points many companies have been experiencing. Different levels of service are available on a monthly subscription basis to suit every organisation’s needs, and Ultima estimates most will experience a 43% reduction in operational costs using this innovative automated service.

Autonomous Cloud will also help lower carbon emissions and reduce a business’ environmental impact through innovative renewable energy purchasing and Ultima’s commitment to net zero carbon emissions for operations.

Scott Dodds, CEO, Ultima explains, “The long-term cost savings and innovation opportunities that cloud promised have not materialised, as many companies have struggled with escalating costs for support, maintenance and security, as well as spiralling licensing fees. The cloud is a very complex, ever-evolving suite of products. Autonomous Cloud will change the market by simplifying cloud ownership and operations to deliver what the cloud was meant to be.Not only will IT teams have more time and energy to focus on strategic IT issues and innovation, they will have 43% of their cloud budgets they can refocus elsewhere.”

Richard Ellis, Small, Medium & Corporate Leader Microsoft UK, comments, “Through Autonomous Cloud, Ultima is helping mid-sized organisations to transition effectively to the cloud, enabling them to reduce costs whilst optimising business performance. With leadership and support built on top of Microsoft Azure, customers can have the confidence that their individual requirements will be met, and all management and security issues will be addressed effectively.”

As a component of Autonomous Cloud, Ultima has also developed a specific tool to help small-to-medium sized customers who host their environments on-premises. In the space of a day, this add-on sets up a new Azure environment, incorporating best practice via an orchestration platform and then migrates your current environment to the new platform so you can begin work immediately.

Autonomous Cloud is available on a three-tier level of service basis, providing different levels of support based on each user’s cloud environment and operational requirements. These services all provide access to improvements in support, reporting and billing in real-time through a ServiceNow portal. Customers can benefit from 24/7 support, whether that be issues with a backup or logging a ticket.

The ‘advanced’ level of service will dramatically reduce the need for human intervention around business as usual activities, reducing many repetitive tasks. Its ServiceNow portal logs ticketing requests, but also provides a service catalogue of tasks that can be automated. The platform automatically reports on security issues and uses machine learning to analyse trends and create alerts when anomalies occur. There is also automatic patching on the platform which reduces the overall threat footprint.

Working in partnership with the customer, the ‘ultimate’ level of service continually analyzes expenditure and usage, detecting idle services and optimising licensing to improve

performance. Its self-driven provisioning will provide governance around the deployment of new services by scanning the environment and on-boarding new services automatically, reducing the process to a day.

With a much clearer picture of the workload environment from the Autonomous Cloud platform, clients will not only improve their cloud’s cost control and performance, it also ensures they comply with regulatory auditing.

For more information on Autonomous Cloud, please visit https://info.ultima.com/autonomous-cloud

Artificial Intelligence course in Chennai

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Particular applications of AI include expert systems, speech recognition and machine vision. All the major enterprises will make use of AI to improve their productivity. Tech giants like Apple, Google and Facebook have already climbed on the bandwagon of AI.
Globally, no one is doing AI innovation for the social sector, India can lead here. The demand for AI certified fresher will grow along with the developments in AI. Gaining a certificate in AI will give an edge over other IT professionals as AI is the future of IT. Overall the future of AI seems too large to comprehend. According to the survey, Data science is considered to be the fastest-growing domain in the software industry. Data science is now considered as the most popular analytic tool in the world. It is the hands-down winner if we will look at online popularity. Companies like Wipro, Accenture and much more started to build their employees for becoming expertise in Data Science. Indian companies are increasingly looking at Data science expert and organizations expect many of the new hires to already equip with knowledge of data science. They want them to be familiar with this tool and how to use it for data analysis.

https://360digitmg.com/india/data-science-using-python-and-r-programming-in-chennai

Invest in COVID-19 VACCINE, save the world from CoronaVirus

Today every person on Earth has been affected by the COVID-19 outbreak. Airplanes are grounded, borders are closed, businesses are shut, citizens are forced into quarantine, and governments are taking spontaneous emergency decisions undermining the principles of democracy.

All this, if not stopped shortly, can lead to chaos and unrests.

Currently HTTP://WWW.ST-lF.COM is proud to represent the world-wide scientific community, by fundraising for COVID-19 Vaccine Development.

It is a responsibility of every human-being to put every effort to fight the deadly virus. Your support is needed to develop a vaccine ASAP! Every 1$ makes a difference.

Please, take a moment to review our campaigns HTTP://WWW.ST-lF.COM

Neuron Meetup Groups

Given the situation with the COVID-19 outbreak we have decided to close down our Neurons Meetup Groups for the foreseeable future.

We have grown the Chapters network up over a number of years and very proud in the local communities we build as part of this. We also want to thank our Chapter leaders who have committed their own time and effort to support this community.

We will monitor the situation and if we see demand for in person meeting in the future we will be open to setting up chapters again.

However, for now we are encouraging Meetup members to sign up to the online platform and contribute to this online community.

Ultimately this is the communities platform to share and exchange knowledge and support others on their learning mission to better understand the AI and Machine Learning technologies.

Welcome to our new members !

The post Neuron Meetup Groups appeared first on NEURONS.AI.


Link to Full Article: Read Here

Neuron Meetup Groups

Given the situation with the COVID-19 outbreak we have decided to close down our Neurons Meetup Groups for the foreseeable future.

We have grown the Chapters network up over a number of years and very proud in the local communities we build as part of this. We also want to thank our Chapter leaders who have committed their own time and effort to support this community.

We will monitor the situation and if we see demand for in person meeting in the future we will be open to setting up chapters again.

However, for now we are encouraging Meetup members to sign up to the online platform and contribute to this online community.

Ultimately this is the communities platform to share and exchange knowledge and support others on their learning mission to better understand the AI and Machine Learning technologies.

Welcome to our new members !

The post Neuron Meetup Groups appeared first on NEURONS.AI.


Link to Full Article: Read Here

COVID-19 and how AI can help the healthcare sector during times of crisis

COVID-19 and how AI can help the healthcare sector during times of crisis

The application of artificial intelligence within the healthcare industry has been relatively common for decades, with many PhD students applying machine learning techniques to various medical diagnostic tasks, but these have just been studies and typically not utilized for general usage or publicised. Only recently has the use of AI for medical applications been widely reported, with companies like DeepMind and Babylon Health, to name a few, developing medical applications and sharing publicly their advances.

However, some of the publicity has been negative with concerns of individual privacy and medical data being used without the individuals’ permission. While these concerns are absolutely valid, using aggregated and anonymised data can be exceptionally valuable for certain applications.

During times of crisis we must maximise our intelligence to benefit all, which is the fundamental ethos of the AI for Good campaigns that have focused on many different causes and benefits that the application of AI can deliver. Using advanced analytics to create insight and predictive models that can help us be the most efficient we can be with limited resources. While several companies are claiming to have discovered a vaccine for COVID-19, it will take many months for them to be tested and approved for use. Until then we need to find ways we can help reduce the number of deaths from the virus. There is already significant work being doing to collate useful data and research papers [1] from a number of various sources which will help in different applications against the virus.

However, let us acknowledge that in times of crisis, we can leverage the powers of advanced data analytics to the benefit of the humankind. Using aggregated and anonymised data removes many of the concerns of individual privacy and gives the data science community some useful datasets that we can demonstrate what advanced predictive analytics can help with.

Last week the government officials met with executives from the top technology firms at downing street[2] to discuss how AI can help the fight against COVID-19, and topics such as data sharing, fake news, drug discovery and robot cleaners where discussed. However, there are many other areas that AI can help.

We are already seeing the government implement plans to help reduce the peak of cases during a short time interval. Simple simulations[3] can show how this can be achieved by putting people with symptoms into self-isolation. This will help prevent any catastrophic spikes in demand that would be completely unmanageable because it significantly outweighs the available supply of hospital beds.

Ultimately, AI can be applied to many parts of any organisation, helping deliver efficiencies from the supply chain, routing of demand across the network of hospitals, diagnosis augmentation, as well as drug discovery, suggestions of medical care. But other departments in the back-office, such as finance, logistics and HR could also benefit from the use of automation and artificial intelligence, but obviously this is not a priority right now.

As well as being able to accurately predict the spread of the virus and determine the number of serious cases over time, helping to manage the capacity of the hospitals is an important aspect of ensuring we can match demand and supply of care.

The data science platform company H20 have been working with Stanford university, Kaiser and some other US hospitals to create a model that can help predict the capacity and demand for Intensive Care Units (ICU), this can then be used to manage the logistics around routing emergency cases to the hospitals with most capacity based on the regional predictions of cases over time. This is exceptionally important to ensure as many people falling seriously ill with the virus are able to receive the intensive care they need as soon as they need it.

Working in collaboration with Combined Intelligence, H20 are now looking to bring this predictive modelling into UK hospitals as part of our joint AI for Good campaign. We are looking to connect with as many UK hospitals as possible, so please help us, as we believe this modelling of capacity and routing can save lives.

H20 have pulled together an information deck on their work in this space and are happy to support UK hospitals with using their analytics, so if you are associated with a UK hospital and would like to have a copy please contact me directly and I will share with you and put you in contact with the H20 team.

Please share this article with your network, we are looking to reach as many executives within UK hospitals as possible to help them with this data analytics capability.

Footnotes:

[1] https://www.technologyreview.com/s/615367/coronavirus-24000-research-papers-available-open-data

[2] https://www.bbc.co.uk/news/technology-51851292

[3] https://www.washingtonpost.com/graphics/2020/world/corona-simulator/

[4] https://informationisbeautiful.net/visualizations/covid-19-coronavirus-infographic-datapack/

The post COVID-19 and how AI can help the healthcare sector during times of crisis appeared first on NEURONS.AI.


Link to Full Article: Read Here

COVID-19 and how AI can help the healthcare sector during times of crisis

The application of artificial intelligence within the healthcare industry has been relatively common for decades, with many PhD students applying machine learning techniques to various medical diagnostic tasks, but these have just been studies and typically not utilized for general usage or publicised. Only recently has the use of AI for medical applications been widely reported, with companies like DeepMind and Babylon Health, to name a few, developing medical applications and sharing publicly their advances.

However, some of the publicity has been negative with concerns of individual privacy and medical data being used without the individuals’ permission. While these concerns are absolutely valid, using aggregated and anonymised data can be exceptionally valuable for certain applications.

During times of crisis we must maximise our intelligence to benefit all, which is the fundamental ethos of the AI for Good campaigns that have focused on many different causes and benefits that the application of AI can deliver. Using advanced analytics to create insight and predictive models that can help us be the most efficient we can be with limited resources. While several companies are claiming to have discovered a vaccine for COVID-19, it will take many months for them to be tested and approved for use. Until then we need to find ways we can help reduce the number of deaths from the virus. There is already significant work being doing to collate useful data and research papers [1] from a number of various sources which will help in different applications against the virus.

However, let us acknowledge that in times of crisis, we can leverage the powers of advanced data analytics to the benefit of the humankind. Using aggregated and anonymised data removes many of the concerns of individual privacy and gives the data science community some useful datasets that we can demonstrate what advanced predictive analytics can help with.

Last week the government officials met with executives from the top technology firms at downing street[2] to discuss how AI can help the fight against COVID-19, and topics such as data sharing, fake news, drug discovery and robot cleaners where discussed. However, there are many other areas that AI can help.

We are already seeing the government implement plans to help reduce the peak of cases during a short time interval. Simple simulations[3] can show how this can be achieved by putting people with symptoms into self-isolation. This will help prevent any catastrophic spikes in demand that would be completely unmanageable because it significantly outweighs the available supply of hospital beds.

Ultimately, AI can be applied to many parts of any organisation, helping deliver efficiencies from the supply chain, routing of demand across the network of hospitals, diagnosis augmentation, as well as drug discovery, suggestions of medical care. But other departments in the back-office, such as finance, logistics and HR could also benefit from the use of automation and artificial intelligence, but obviously this is not a priority right now.

As well as being able to accurately predict the spread of the virus and determine the number of serious cases over time, helping to manage the capacity of the hospitals is an important aspect of ensuring we can match demand and supply of care.

The data science platform company H20 have been working with Stanford university, Kaiser and some other US hospitals to create a model that can help predict the capacity and demand for Intensive Care Units (ICU), this can then be used to manage the logistics around routing emergency cases to the hospitals with most capacity based on the regional predictions of cases over time. This is exceptionally important to ensure as many people falling seriously ill with the virus are able to receive the intensive care they need as soon as they need it.

Working in collaboration with Combined Intelligence, H20 are now looking to bring this predictive modelling into UK hospitals as part of our joint AI for Good campaign. We are looking to connect with as many UK hospitals as possible, so please help us, as we believe this modelling of capacity and routing can save lives.

H20 have pulled together an information deck on their work in this space and are happy to support UK hospitals with using their analytics, so if you are associated with a UK hospital and would like to have a copy please contact me directly and I will share with you and put you in contact with the H20 team.

Please share this article with your network, we are looking to reach as many executives within UK hospitals as possible to help them with this data analytics capability.

Footnotes:

[1] https://www.technologyreview.com/s/615367/coronavirus-24000-research-papers-available-open-data

[2] https://www.bbc.co.uk/news/technology-51851292

[3] https://www.washingtonpost.com/graphics/2020/world/corona-simulator/

[4] https://informationisbeautiful.net/visualizations/covid-19-coronavirus-infographic-datapack/

The post COVID-19 and how AI can help the healthcare sector during times of crisis appeared first on NEURONS.AI.


Link to Full Article: Read Here

COVID-19 Impact on Events

As I am sure you are aware, the worldwide pandemic of COVID-19 is having a significant impact on planned events and conferences across all industries and regions.

We will work with conference organisers to update our listings as soon as possible for events that are either converting to online only, being rescheduled to later in the year or being cancelled.

It seems that many meet-ups are postponed March and April meetings, with some looking at online options.

We are doing our best to keep up to date with the announcements coming from event organisers, but our advise is always to check for communications coming directly from the event organisers.


Link to Full Article: Read Here

COVID-19 Impact on Events

As I am sure you are aware, the worldwide pandemic of COVID-19 is having a significant impact on planned events and conferences across all industries and regions.

We will work with conference organisers to update our listings as soon as possible for events that are either converting to online only, being rescheduled to later in the year or being cancelled.

It seems that many meet-ups are postponed March and April meetings, with some looking at online options.

We are doing our best to keep up to date with the announcements coming from event organisers, but our advise is always to check for communications coming directly from the event organisers.


Link to Full Article: Read Here

In-place data analytics for unstructured data is no longer science fiction

In-place data analytics for unstructured data is no longer science fiction

AI-driven analytics supercharges compliance investigations, data security, privacy audits and eDiscovery document review.  AI machine learning employs mathematical models to assess enormous datasets and “learn” from feedback and exposure to gain deep insights into key information. This enables the identification of discrete and hidden patterns in millions of emails and other electronic files to categorize and cluster documents by concepts, content, or topic. This process goes beyond keyword searching to identify anomalies, internal threats, or other indicators of relevant behavior. The enormous volume and scope of corporate data being generated has created numerous opportunities for investigators seeking deep information insights in support of internal compliance, civil litigation and regulatory matters.

The most effective use of AI in investigations couple continuous active learning technology with concept clustering to discover the most relevant data in documents, emails, text and other sources.  As AI continues to learn and improve over time, the benefits of an effectively implemented approach will also increase. In-house and outside counsel and compliance teams are now relying on AI technology in response to government investigations, but also increasingly to identify risks before they escalate to that stage.

However, logistical and cost barriers have traditionally stymied organizations from taking advantage of AI in a systematic and proactive basis, especially regarding unstructured data, which, according to industry studies, constitutes 80 percent or more of all data (and data risk) in the enterprise. As analytics engines ingest the text from documents and emails, the extracted text must be “mined” from their native originals. And the natives must first be collected and migrated to a centralized processing appliance. This arduous process is expensive and time consuming, particularly in the case of unstructured data, which must be collected from the “wild” and then migrated to a central location, creating a stand-alone “data lake.”

Due to these limitations, otherwise effective AI capabilities are utilized typically only on very large matters on a reactive basis that limits its benefits to the investigation at hand and the information within the captive data lake.  Thus, ongoing active learning is not generally applied across multiple matters or utilized proactively. And because that captive information consists of migrated copies of the originals, there is a very limited ability to act on data insights as the original data remains in its actual location in the enterprise.

So the ideal architecture for the enterprise would be to move the data analytics “upstream” where all the unstructured data resides, which would not only save up to millions per year in investigation, data audit and eDiscovery costs, but would enable proactive utilization for compliance auditing, security and policy breaches and internal fraud detection.  However, analytics engines require considerable computing resources, with the leading AI solutions typically necessitating tens of thousands of dollars’ worth of high end hardware for a single server instance. So these computing workloads simply cannot be forward deployed to laptops and multiple file servers, where the bulk of unstructured data and associated enterprise risk exists.

But an alternative architecture solves this problem. A process that extracts text from unstructured, distributed data in place, and systematically sends that data at a massive scale to the analytics platform, with the associated metadata and global unique identifiers for each item.  As mentioned, one of the many challenges with traditional workflows is the massive data transfer associated with ongoing data migration of electronic files and emails, the latter of which must be sent in whole containers such as PST files. This process alone can take weeks, choke network bandwidth and is highly disruptive to operations. However, the load associated with text/metadata only is less than 1 percent of the full native item. So the possibilities here are very compelling. This architecture enables very scalable and proactive compliance, information security, and information governance use cases. The upload to AI engines would take hours instead of weeks, enabling continual machine learning to improve processes and accuracy over time and enable immediate action to taken on identified threats or otherwise relevant information.

The only solution that we are aware of that fulfills this vision is X1 Distributed GRC. X1’s unique distributed architecture upends the traditional collection process by indexing at the distributed endpoints, enabling direct pipeline of extracted text to the analytics platform. This innovative technology and workflow results in far faster and more precise collections and a more informed strategy in any matter.

Deployed at each end point or centrally in virtualized environments, X1 Enterprise allows practitioners to query many thousands of devices simultaneously, utilize analytics before collecting and process while collecting directly into myriad different review and analytics applications like RelativityOne and Brainspace. X1 Enterprise empowers corporate eDiscovery, compliance, investigative, cybersecurity and privacy staff with the ability to find, analyze, collect and/or delete virtually any piece of unstructured user data wherever it resides instantly and iteratively, all in a legally defensible fashion.

X1 displayed these powerful capabilities with ComplianceDS in a recent webinar with a brief but substantive demo of our X1 Distributed GRC solution, emphasizing our innovative support of analytics engines through our game-changing ability to extract text in place with direct feed into AI solutions.

Here is a link to the recording with a direct link to the 5 minute demo portion.

If you contact X1 direct off the back of this post, please mentioned Andy Pardoe and Informed.AI was the source of the information. Otherwise I would be happy to connect you with the contacts I have at X1 directly. Please message me at andy@informed.ai

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