AI Plus Human Intelligence Is The Future Of Work

The Future Of Work

The Future Of Work

We are living in interesting times, where digital assistants schedule meetings, chatbots work alongside humans as teaching assistants, and your suitcase can now become self driving luggage as showcased at CES, 2018.  The implications are just starting to be felt in the workplace. In 2017, I wrote about how The Employee Experience is the Future of Work. Now, as we enter 2018, the next journey for HR leaders will be to leverage artificial intelligence combined with human intelligence and create a more personalized employee experience.

Artificial Intelligence Is Transforming The Workplace

As we increase our personal usage of chatbots (defined as software which provides an automated, yet personalized, conversation between itself and human users), employees will soon interact with them in the workplace as well. Forward looking HR leaders are piloting chatbots now to transform HR, and, in the process, re-imagine, re-invent, and re-tool the employee experience.

How does all of this impact HR in your organization? The following ten HR trends will matter most as AI enters the workplace:

1. Expect Humans To Work Along Side Artificial Intelligence

My Forbes column, The Intersection of AI and HR  profiled three chatbots: Talla, Jane, and Jill Watson, and examined how artificial intelligence is working side by side with HR managers and teaching assistants. This was reinforced by a new Gartner report, predicting that one in five workers will have AI as their co worker in 2022.

At Georgia Institute of Technology, this is business as usual. Last year, Jill Watson, powered by IBM Watson analytics, became the ninth teaching assistant for an online course taught by Professor Ashok Goel entitled Knowledge Based Artificial Intelligence. Professor Goel estimates that within a year, Jill Watson was able to answer 40% of all the students’ questions, freeing the human TAs to tackle more complex technical inquiries, such as, “How do you define intelligence?” In fact, one student reported, “Just when I wanted to nominate Jill Watson as an outstanding TA, always there reminding us of due dates and posting questions to engage us mid-week, I find out she is a chatbot. I was flabbergasted.”

This is just the beginning as AI becomes a new member of the team. And visionary HR leaders will increasingly consider chatbots  another co-worker, helping to orient and train them, and assisting the rest of the team  in understanding how to work with them. The end result will be more time for employees to do what makes them uniquely human such as;  complex problem solving, critical thinking, and creativity, the top three skills deemed essential By the World Economic Forum.

2. Identify Which Roles On Your Team Will Be Transformed By AI

McKinsey research finds very few occupations will be automated in their entirety, rather certain activities will be re-defined requiring business processes and job roles to change.

In fact, according the McKinsey Global Institute,  fewer than 5 percent of occupations can be entirely automated using current technology. However, 60 percent of occupations could have 30 percent or more of their activities automated.

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Article Credit: Forbes

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How artificial intelligence is creating new ways of storytelling

artificial intelligence is creating new ways of storytelling

artificial intelligence is creating new ways of storytelling

Can a computer write a great novel or a script for a movie? Artificial intelligence (AI) is manna from heaven for sci-fi writers.

We’ve seen a sentient computer called HAL wreak quiet havoc in 2001: A Space Odyssey. We’ve watched a robot girl’s will to survive in 2015’s Ex Machina. Most recently we’ve seen an AI-meets-the-wild-west scenario in TV series Westworld.

Writers do a great job of making AI entertaining, but does it work the other way around? Can AI itself create, develop and write storylines, scripts and other art forms?

AI is spreading into every corner of human existence. So it should come as no surprise that it’s helping authors, journalists and writers to create in ever more inventive ways.

How AI can improve writing

AI can already help improve our writing skills. For example, the Hemingway Appis an online writing editor created in 2013. It uses natural language processing (NLP) to recognize common writing problems and increase readability. And, yes, it re-wrote this paragraph.

You can even use the NLP-powered Dragon Dictation or the online Dictation.ioto write without typing.

Sentiment analysis

Anyone with a basic knowledge of plot structure can easily predict the ending of most Hollywood movies. The famous ‘three-act’ structure goes something like this: establish protagonist and identify the problem, show protagonist’s attempt to resolve the problem leading to worsening situation, then resolve problem. To put it another way: boy meets girl, boy loses girl, boy gets girl.

Armed with these commonly used structures, can a computer be taught how to construct stories and scripts? That’s the question behind the work of the Computational Story Lab at the University of Vermont, where researchers are analyzing novels to identify the building blocks of all stories.

Inspired by legendary author Kurt Vonnegut’s lecture on the shapes of stories and how they could be taught to computers, this AI is based upon sentiment-based text analysis.

Emotional arcs

As with most recent advances in AI, this one is down to surges in both big data and computer processing power.

“By classifying the emotional arcs for a filtered subset of 1,327 stories from Project Gutenberg‘s fiction collection, we find a set of six core emotional arcs which form the essential building blocks of complex emotional trajectories,” say the authors of the The emotional arcs of stories are dominated by six basic shapes.

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Article Credit: TechRadar

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A.I. Has Arrived in Investing. Humans Are Still Dominating.

Machines are starting to take the place of the people who flip burgers, drive across town and, lately, manage stock portfolios.

Artificial intelligence is taking on a bigger role in making investment decisions.

A.I., including an ability to analyze data and actually learn from it, is considered useful in executing certain investing models, such as high-frequency trading, and in helping fund managers with tasks that rely on gathering and interpreting reams of information. Going a step further, an exchange-traded fund introduced in October uses A.I. algorithms to choose long-term stock holdings.

It is to early to say whether the E.T.F., A.I. Powered Equity, will be a trendsetter or merely a curiosity. Artificial intelligence continues to become more sophisticated and complex, but so do the markets. That leaves technology and investment authorities debating the role of A.I. in managing portfolios. Some say it will only ever be a tool, valuable but subordinate to its flesh-and-blood masters, while others envision it taking control and making decisions for many funds.

“We are just beginning to see a rise of the machines in investment management,” said Campbell Harvey, a professor of finance at Duke University. Although, he said, “it’s hard to define what the markets will look like” if human judgment is usurped, he predicted that “in the end, it will be a good thing for investors.”

Artificial intelligence is a term that may be spoken more than understood. Many investment firms use software to sift through data and perform rudimentary analysis by following fairly simple rules. The programs can create portfolios by screening universes of stocks to select ones that meet criteria related to corporate results, valuation metrics or trading patterns, or by tweaking the proportions of the constituent companies in an index based on certain factors

 Those programs may be useful, but they are not A.I. because they are static; they do the same thing over and over until someone changes them. A.I. involves machine learning, in which a program updates itself as new information comes in. Whatever goal the program was created to achieve remains the same, but the problem-solving tools it uses keep changing and reflect the sum of the information it has to work with.

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Cybersecurity Predictions for 2018 – Part Two

Cybersecurity Predictions for 2018

Cybersecurity Predictions for 2018

In the first part of our overall look at 2018 predictions, we determined six of the top 11 trends that were predicted for this year. In this second installment we will look at the remaining five overall topics that are expected to shake cybersecurity in 2018.

IoT Legislation
The Internet of Things (IoT) may be the most affected sector by the Meltdown and Spectre bugs, but it’s the legislation that many determine will be the biggest game changer. Gary Hayslip, chief information security officer of Webroot, said: “Legislation will require IoT manufacturers to be responsible for producing products without known defects.”

It is also predicted that the power of IoT will be felt by businesses in a repeat of the Mirai botnet activity. Paul Barnes, senior director product strategy at Webroot, predicted a mass IoT breach spanning consumers and businesses, but this time with little ability to remediate based on the attack disabling hardware and demanding a ransom payment.

Also, the growing commercial utilization of IoT systems will mean that the value of breaching and controlling these types of systems is increasing for attackers, says Greg Day from Palo Alto Networks.

Criminals Become More Sophisticated 
The advancement of cyber-criminal skills has been predicted year on year, and apart from the unsophisticated nature of WannaCry, this has proved to be true. According to ZeroFox: “Artificial intelligence will lead to more sophisticated cyber-attacks and render basic protection methods obsolete” while Lastline said that in 2018, we can expect to see a dramatic increase in sophistication among cyber-criminals as they leverage AI and ML-powered hacking kits built from tools that criminals leaked or stole from state-sponsored intelligence agencies.

Adam Hunt, chief data scientist at RiskIQ, said: “Threat actors will increase their adoption of adversarial machine learning to evade detection by infrequently trained machine learning models. Machine learning models will need to evolve quickly to keep up with these threats by incorporating instance-based approaches.”

Social Media Takeovers
Following on from the advancement of cyber-criminals, in 2018 there will be an easier ‘way in’ for attackers thanks to social media. According to Airbus CyberSecurity, social media can be used for sophisticated social engineering and reconnaissance activities which form the basis of many attacks on the enterprise.

Markus Braendle, head of the Airbus CyberSecurity business, said that from an attacker’s perspective, social media has become an easy target because of the number of non-cybersecurity savvy users, and the fact that these platforms are both easy and cost effective to use.

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Article Credit: Info security

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Connexion Media spends $5 million on cyber security company

Connexion Media spends $5 million on cyber security company

Connexion Media spends $5 million on cyber security company

Melbourne-based smart car software app developer and IoT services provider, Connexion Media (ASX: CXZ),  has spent about $5 million on acquiring an IT services company called the Security Shift Group (SSG).

The acquisition will be funded through internal cash reserves, vendor scrip, debt finance and future earnings involving an upfront $1.8 million investment from Connexion in SSG shares; payment of $1.19 million via the issue of new shares in Connexion to SSG shareholders and a payment of up to $2 million via new Connexion shares, subject to earn out conditions.

SSG shareholders, Chris Wright and Mark Culhane will stay on, with Wright joining Connexion’s board and Culhane taking charge of the CIO post.

SSG dabbles in a range of services including cyber security; cloud; IT governance, risk and compliance; and end-to-end design, development, deployment and operations services. Some of the large scale and complex web facing systems it has worked on includes The Numbering Registry on behalf of the Australian Communications and Media Authority; The Renewable Energy Certificate Registry on behalf of the Australian Government’s Clean Energy Regulator and various domain name registry systems for countries including Australia, UAE, Qatar and Oman.

According to a statement on the ASX, SSG has a current run rate EBIT of $972,300 per annum with about $400,000 cash on hand and will be acquired with no debts.

The acquisition sees Connexion achieve a few strategic objectives, including balancing the revenue portfolio with its General Motors contract; refurbishing the executive team with skills in delivering large technology projects; and it adds two cloud platforms that are designed to meet Defense Signals Directorate Protected requirements.

Connexion executive director, David Connolly, said the company had undergone a remarkable 12 months of transformation in its ability to reduce cash burn to sustainable levels; extinguish substantial debts and support the team to achieve revenues.

“With the inclusion of SSG, we now have put together a financially stable and proven team,” he said.

The acquisition is set to be finalised on 31 March.

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Get ready for unprecedented number of cybersecurity threats in the coming year

cybersecurity threats in the coming year

cybersecurity threats in the coming year

The total number of data records lost or stolen since 2013 is 9.19 billion and counting. Drilling deeper, we experience approximately five million records lost every day, or 59 records every second.

These incredibly threatening statistics have been on an upward trend year after year. They serve as validation of the worrisome threat landscape organizations endure. While these numbers alone act as a strong driver to improve cybersecurity posture, compliance requirements compound this by presenting looming consequences for entities with poor cybersecuritypractices.

As organizations and government entities across the globe struggle to maintain confidentiality, integrity and availability of their systems and data, they are now facing a continuous flow of new and updated regulations and standards designed to enforce the implementation of appropriate levels of privacy and security controls by entities of all sizes, across industries.

With major breaches like Equifax (143 million records) and major regulatory changes like those presented by the European General Data Protection Regulation (GDPR), organizations across the globe must prepare and enforce cybersecurity diligence as 2018 is upon us. These are the factors:

  • There will be continuous cyberattacks on organizations, government entities and critical infrastructure, and we will see new types of state-sponsored attacks.
  • A quickly growing and poorly controlled attack surface poses a significant threat to the internet of things, and Congress is unlikely to propose new laws related to IoT security anytime soon. We should expect this poorly regulated surface to continue to grow.
  • Healthcare has become a high value target for cyber criminals. In the first six months of 2017, the industry had more breaches than any other. It’s set to continue lagging in cybersecurity performance.
  • With customers becoming more informed on cybersecurity risks, it’s paramount for financial institutions to develop and maintain risk mitigation practices that foster good cybersecurity health. Financial institutions will lead in terms of malware attacks, and will continue to have difficulty maintaining good cyber hygiene.

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Article Credit: The Hill

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Cybersecurity Predictions for 2018 – Part One

Cybersecurity Predictions for 2018

Cybersecurity Predictions for 2018

Over the course of December and into the New Year, my inbox fills up with predictions for what 2018 will bring cybersecurity.

At the end of 2016 we assessed a whole host of industry predictions and determined 12 topicsthat would dictate 2017: skills gap, ransomware, poor routine IT practices, political disruption, CIO activities, social media attacks, AI, advanced cyber-criminals, GDPR, a cloud vendor compromise and better security collaboration.

Most of that came true, although the predictions on ransomware came nowhere close to the impact that WannaCry and NotPetya would come to have. So with an inbox bursting with predictions for 2018, I triaged all of the comments into 11 themes. In no particular order, here are the first six:

It is no surprise that this features so highly after 2017’s headlines. In terms of evolution, it was predicted that after the mass distribution we would see more targeted attempts, with Eric Klonowski, senior advanced threat research analyst at Webroot, predicting the first health-related ransomware targeting devices like pacemakers. “Instead of ransom to get your data back, it will be ransom to save your life.”

As well as being more targeted, predictions from Trend Micro were that attackers “will run digital extortion campaigns and use ransomware to threaten non-GDPR compliant companies”, while Imperva predicted that extortion-enabled disruption will intensify this year, “manifesting in disabled networks, internal network denials of service, and crashing email services”.

Breaches Get Worse
Instances of data loss at Uber, Equifax and other companies will not end in 2017, and Tyler Moffitt, senior threat research analyst at Webroot, predicted at least three separate breaches of at least 100 million accounts, while Imperva said that with the take-up of cloud computing, we’ll see massive cloud data breaches.

Viktors Engelbrehts, director of threat intelligence at eSentire, added: “Politically motivated and espionage cyber-attacks against the critical infrastructure industry will continue to increase. There is also the potential for loss of human life as a result of targeted cyber-attacks, especially in the healthcare sector.”

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Article Credit: Info Security

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