Why Waste Time When It Comes to Hiring?

Why Waste Time When It Comes to Hiring?

Recruitment Tray

2016 was pretty big when it came to politics, technology and of course; celebrity deaths. So it’s quite easy to see how you may have gotten distracted with what was happening in recruitment – you’re only human.

Now that we’re half way into 2017, it’s clear to see what technology trends are shaping the way the recruitment landscape is advancing. Technology is becoming an important part of our everyday lives and it’s use in how we work should be no different.

Where do you start?

At a first glance, the amount of resource out there may seem intimidating (and at times, gratuitous). Continuous innovation is great, but can feel overwhelming when in a company that still relies on traditional methods.

Which is why i’ve put together five trends which are not just popular, but also actionable. Hopefully helping you to cut through the endless supposition out there, and provide you with ideas you can get started with today. And in a role where onboarding new staff is a time-consuming (and sometimes, dated) process, it’s important that you up-skill to avoid inefficiencies creeping into your daily routine.

5 technology trends for recruitment

  1. Embrace social profiles as applications
    Ease of application needs to be paramount as we continue to move into 2017. Your potential candidates live on social. Aberdeen Group have found that 73% of 18-34 year olds have found their most recent job through social media[1]. It’s where they will look for your roles and it’s the easiest way to interact with them. By making it so your applicants can auto-fill their information from their LinkedIn or Facebook profile to your applications, you’re streamlining a process that can usually be seen as repetitive and time consuming. The easier you make it for them, the more likely they are to complete the application. This also gives you insight into their personal profiles, keeping your system’s information up to date.
  2. Mobile recruiters
    Year on year mobile use has been growing[2], which means the majority of your applicants will be using a mobile device to search for your roles. and having a mobile optimised site won’t be enough to support your potential candidates preferred ways of applying. As applicants will need to upload files, like their CV’s, covering letters or forms of ID to register their interest, the mobile experience needs to ensure it’s catering to this. Linking properly with sites such as Google Drive or Dropbox will keep the process short and smooth and the amount of required questions to a minimum will mean applicant’s return to your site in the future.
  3. Video recruitment
    The rise in use of video in business has steadily grew over the course of 2016 and has continued to increase even more in 2017. Utilising video interviews will benefit recruiters hugely concerned with reducing the amount of time spent interviewing candidates in the early stages of high-volume recruitment campaigns. As video interviews can be conducted remotely, recruiters can much easier cater to applicants schedules, and therefore allocate time easier, whilst still being able to identify high calibre candidates. And by reducing time spent finding suitable candidates, recruiters can focus more on developing suitable candidates for clients.
  4. Inbound recruitment marketing
    Recruitment tactics will need to start reflecting marketing tactics in order to attract the top talent as we move into the second half of 2017. And as the marketing sector has started to adopt; inbound tactics are proving to be more effective than previous outbound tactics. This should be done through content strategies that draw candidates to your company with pieces that reflect their interests and that they can identify with. Keep them easily accessible by sharing on platforms like social media.
  5. Updated internal processes
    Spending time hunting through piles of CV’s or application forms slows down response time in an age when most answers are a click away, and more importantly; expected to be a click away. Eliminating paper not only updates your methods and reduces the amount of paper your company consumes. It also reduces the time and money spent managing admin whilst protecting document from going missing, ensures your information is easily searchable and kept backed up in a centralised location. This can be achieved by adopting solutions such as electronic signatures for signing off documents, CRM systems specific to recruiters needs or social media management tools.

Initiate, improve and innovate!

So, try them out! By modernising your approach to hiring staff, you’re not only ensuring that your company isn’t wasting time, but you’re directly improving employee productivity and engagement whilst creating a better talent strategy, which inevitably helps your current and future team members.

About the Author:

bio-pic

Jessie Davies is a Marketing Manager at Signable and also goes by the title “Content Queen”. Signable is an electronic signature platform that helps businesses get their documents finalised faster. As Content Queen she ensures that Signable’s customer’s resource for support, educational content and industry updates are always available and clear. Jessie also makes sure the Twitter feed is full of hilarious reaction gifs and sarcastic comments.

Website | Twitter | Facebook

References:

[1] Source - Millennial Job Search from Aberdeen Group: Getting Social Media Recruitment Right

[2] Source - Mobile Use Statistics, Smart Insights: Mobile Marketing Statistics Compilation

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Leveraging the Best of AI for Outstanding Hiring Results

Leveraging the Best of AI for Outstanding Hiring Results

Written by Laura Mather, Founder and CEO at Unitive, Inc. (Talent Sonar).

Laura Mather, Founder and CEO at Unitive, Inc. (Talent Sonar)

Every hiring team is asking the same question: is this candidate the right person for the job? This should be a fairly simple question to answer, but after the resume review and the interview are over, it’s become pretty clear that humans don’t always have the best intuition. Although we sometimes do get it right, sometimes just isn’t enough. Bad hires are hugely expensive for any organization of any size. Tony Hsieh, the CEO Zappos has estimated that bad hires cost the company “well over $1 million.” The US Department of Labor has estimated that a bad hire can cost a company at least 30 percent of that employee’s first-year earnings.

While many companies are feeling pressure to scale and expand quickly, no company can afford to absorb these losses, especially when you factor in the time and energy your current employees will expend hiring and training them.

Ineffective hiring techniques hurt your chances of finding great hires in numerous ways. Not only will you miss great applicants, or let qualified candidates get lost in the shuffle, bad hiring techniques can also translate into bad candidate experiences, meaning that you may be losing great candidates to competitors just because your hiring process was tedious or confusing.

LinkedIn Talent Solutions found that a shocking 83 percent of applicants said a negative interview experience changed their opinion about a role or a company they had once thought of positively. Not only can a bad experience influence a candidate but a good experience can have an even stronger reaction: 87 percent of respondents to LinkedIn said that a good interview experience improved their opinion of a company they had previously doubted.

When an unstructured and unreliable hiring process leaves candidates feeling confused, frustrated, or even disappointed, this can damage both our hiring outcomes and your company’s reputation. One study found that 72 percent of candidates who had a poor hiring experience shared that experience publicly on sites like Glassdoor.

So how can you leverage the best in people analytics to create a hiring system that consistently yields great hires while also maintaining a positive candidate experience? The answer lies in the careful calibration of human intuition and machine learning. While our “gut instincts” are often wrong, good HR teams are able to combine those human reactions with great data and software that guide hiring decisions but don’t dictate them.

For companies of any size, in any sector, the key to consistently successful hiring isn’t automation alone: it’s structure throughout the process and alignment at every level of the team from executives to managers and recruiters. Software can help combine these crucial components, ensuring teams are guided by the same principles and priorities so that candidates have uniform, positive experiences. Software can also stitch machine learning and AI tools into every step so they become an intuitive part of the process, instead of a cumbersome addition.

Although AI has mostly been used during resume review, this technology can and should be expanded to rest of the process, guiding how managers draft job descriptions so that they are accurate, communicate the most important aspects of the position, and will appeal to a wide range of candidates, ensuring your applicants represent the full pool of potential talent that can succeed in this role.

AI can also help continually guide HR teams back to the qualities and capacities that matter most to this position. That can mean helping interviewers create questions that are relevant, behavior-based, and consistent with other interviewers so that every candidate has a consistent experience. It can also mean scoring candidates so that HR teams can see, without a doubt, which applicants are qualified and why.

Whether you are a Fortune 100 powerhouse or a nimble and growing startup, whether you are looking for a C-Suite executive or a daring creative, your needs remain the same: find great candidates with proven abilities to succeed and convince them to work for you and not your competitor. While the objectives are clear, the task is herculean. With the structure, support, and guidance of AI hiring technologies, HR professionals are finally fully empowered to create meaningful interviews, build positive relationships with candidates, and make great decisions and find the perfect hire every time.


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Recruitment Tools: The Magic Lamp for HR

Recruitment Tools: The Magic Lamp for HR

Written by Sachin Gupta, CEO and Co-Founder, HackerEarth.

Sachin Gupta, CEO and Co-Founder, HackerEarth

Ask any business right now about their top challenges — chances are good that recruiting and retaining talent will be on the top three in the priority list. Smart organizations are aware that they’re only as good as their employees and will prioritize in hiring the best of the best for their organizations.

As technology continues to evolve, it is playing a significant role in the way companies approach the talent search and the hiring process. With companies not really carrying labels that say they are tech or non-tech anymore, finding and retaining great tech talent is what the hiring game is now all about.

According to a recent 2017 survey, finding and hiring top tech talent is what keeps the executives up at night. It has been the management’s greatest concern for the last five years. However, with recruiters latching on to online recruitment tools that are “smartifying” the hiring process, tech hiring was never easier, and never more reliable.

Time for a change

When LinkedIn and other online job applications first began to gain traction, they were considered as supplements to the traditional paper résumé and in-person interview. Today, the world of recruiting has gone nearly 100-percent digital. Traditional recruiting processes often fail to acquire the best and brightest. With smart online assessment tools, recruiters are no longer limited to interviewing candidates within a limited geographical radius, and they are less likely to make bad hires based just on snazzy résumés. They don’t need to put in hours sifting through résumés that are often not a reflection the saleable skills or manually evaluating tests. There is no place for unconscious bias either.

Online recruitment tools are replacing traditional methods that don’t always work. Entrepreneurs are ready to invest big in amazing technical assessment tools that automate complex screening and recruiting tasks to add real value.

Using traditional hiring methods are deal-breakers especially for companies looking at acquiring quality technical talent. There is no one-size-fits-all approach. Different requirements warrant different tools or processes. Be it a campus recruitment drive or hiring for niche profiles, online technical assessment tools have an answer. So, what is the reason for these tools to be highly successful?

Scale

A leading retailer wanted to scale its hiring process across Indian cities. When its current hiring process did not support the rapid expansion, the global e-com leader opted for online technical assessment tool. It allowed them to have multiple administrators and enabled them to conduct multiple recruitment drives from several cities for various roles and functions. The tool allowed them to assess thousands of candidates remotely and the proctoring mechanisms ensured a fair assessment. In a span of six months, the company conducted 200+ hiring drives and assessed over 27,000 candidates in different cities.

Time

Minimizes manual filtering of hundreds of résumés thus saving time. Significantly reduces the number of interviews your technical team needs to take to find the right candidate. Prevents the number of candidates from becoming a bottleneck because any number of candidates can be tested simultaneously. This meant hiring managers and technical managers spending less time assessing candidates and wasting no time on irrelevant candidates.

Efficient campus hiring

Large enterprises usually hire developers in big numbers. Campus hiring is one of the many modes that these organizations use. Using an online recruiting tool, these companies can accurately measure the technical skills of candidates. Online tools will also help these companies to hire from different campuses across states thus achieving the numbers they want to.

Exhaustive Question Library

Some of the best tools nowadays supports multiple question types including programming, MCQ, subjective, android, and front-end programming. These libraries help companies to save time on problem setting and test candidates on assorted topics.

Proctoring measures

Recruiting tools come with the best proctoring measures which helps the recruiters test candidates remotely. These tools have built-in features like plagiarism detector, candidate snapshot, restricting multiple logins among others.

The conclusion

Hiring quality tech talent is the common denominator across all organizations. And the online recruiting tools are significantly better at finding them quality talent than the traditional processes that have been followed till now.

By using a tool such as the automated assessment platforms, even non-tech recruiters can conduct technical screening without a hitch. These coding platforms are significantly better than the processes that already exist in these companies. As these tools are easily integrable with the recruiting workflow of an organization, software giants should be happy to take this route.

To rephrase the famous saying from the movie Ratatouille, “Not everyone can become a great developer; but a great developer can come from anywhere” Make sure you don’t lose out on them.


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How to Protect HR from Ransomware | Featured Image

How to Protect HR from Ransomware

How to Protect HR from Ransomware | Main Image

Companies have HR departments that are responsible for storing confidential information such as an individual’s social security number, payroll information, health information as well as employment history.

Because of enormous amount of sensitive data collected on individuals, HR departments opt to store data in a digital format, thus, making it susceptible to cyber-threats. Furthermore, since HR departments receive more email that any other department in a company, they are even more vulnerable to such threats. One of the most challenging form of cyber-attacks that HR departments face today is ransomware.

Ransomware is a type of malware that encrypts data and restricts access to a computer system. Often malware is sent through an email in the disguise of a resume or cover letter. When the email is opened, then the malware infects the computer and the entire network. The next time a user tries to gain access to the computer system, he or she is required to pay a monetary ransom in the form of Bitcoin to remove the restriction. WannaCry is one commonly known name for the recent ransomware attack that affected many companies.

Ransomware not only steals an individual’s personal information, but it damages a company’s reputation and financial status as well. The good news is that there are steps that HR departments can take to prevent ransomware attacks.

Basic Security Measures

It is imperative that HR departments work closely with the IT department to implement strong web filters and spam controls as a basic security measure. Next, the IT department should have Endpoint analytical tools to immediately detect, quarantine and shut down ransomware invasions.

Finally, always have a working data backup plan that is not connected to the company’s network so data cannot be infected.

Latest Operating and Software System

The IT department should make sure that the company’s operating system and software is up-to-date. It is extremely important that security updates are installed on all machines as they are released to protect all computers on the network.

If the company uses Microsoft Office software, it is recommended that macros are turned off. In addition, remove plugins if using Adobe Flash, Adobe Reader, Java or Silverlight since these plugins can run a risk of having embedded malware attached to them upon installation.

Employee Training

It is essential for companies to train employees on their information security policies. Employees must understand that technology alone is not enough to protect sensitive data and that there are cybersecurity threats that can bombard them.

Employees need regular training sessions in learning how to use technology as well have an understanding that technology is not always foolproof. There should be employees training in the do’s and don’ts of data protection. Since HR employees receive numerous emails daily, they need to know what types of files are safe to open.

Finally, employees need to know how to respond, and to whom they should report a cyber threat if the unthinkable happens.

Network Segmentation and Separate Work Stations

The IT department needs to ensure that the company’s most sensitive data is not stored all on one network. This is done through network and database segmentation. A restriction should be in place where only certain authorized individuals can access sensitive information. For example, make one person the administrator for the system.

The administrator should only log into the system as absolutely deemed necessary and use a regular account for everyday use. Furthermore, the IT department should assign dedicated workstations to employees responsible for reviewing resumes and monitor workstation usage.

Outside Testing

To ensure the validity of the company’s security, it is a good idea to hire an outside firm to test the vulnerability of its IT security. By hiring an outside firm, the company can understand where hackers can possibly penetrate the system, and take necessary steps to make data more secure.

To conclude, HR departments have access to massive amounts of sensitive data and the employees are typically not very well educated in knowing how to protect themselves from data breaches. Therefore, they are an easy and lucrative target for hackers.

It is easy to see why HR departments are prone to such cyber-attacks. However, when the HR staff works more closely with the IT department, preventive steps can be taken to reduce ransomware attacks. Precautionary steps such as implementing basic security measures, installing the latest operating system and software, setting up network segmentations and dedicated workstations, training employees and having outside testing to check for security breaches can save a company’s reputation and financial status.

About the Author:

Josh McAllister

Josh McAllister is a freelance technology journalist with years of experience in the IT sector, and independent business consultant. He is passionate about helping small business owners understand how technology can save them time and money. 

Josh is a contributor of a number of digital outlets, and well published including DZone, IoT World News, and Rabid Office Monkey.


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Tech Up for Women — A Trailblazing Event for Women in Technology

Tech Up for Women — A Trailblazing Event for Women in Technology

TECH UP FOR WOMEN

An opportunity for women in all industries to advance their careers through greater technological acumen.

New York, NY; June 5 , 2017 – TechUp Events LLC (TU) launches a trailblazing tech executive development conference, Tech Up For Women, to be held on November 14, 2017 at The Metropolitan Pavilion West in New York City. This cutting edge conference provides an opportunity for women in all industries to hear and learn from top leaders, researchers and influential women in the fields of technology. The Tech Up for Women will provide a powerful forum for women to jump start and advance their careers through a better awareness of current trends and disruptive technological advances, understanding of cybersecurity, coding, femtech, raising capital and hands on product demonstrations.

On-site vendors will provide attendees access to current and future advances in technology. The goal being to get women more comfortable using technology, thereby creating advancement into critical tech leadership roles across a broad range of industries. Achieving greater success through technology will strengthen the pipeline of women in corporate leadership roles.

Tech Up for Women is committed to raising awareness about the vital importance of technology to women’s advancement and accelerated development in business. Tech Up for Women is a one-day executive development tech conference that offers women the opportunity to learn from prominent leaders who will share their research, experiences, and perspectives on how women can harness their strengths and achieve their future goals through technology. The event will educate women and further create gender balance through tech extended knowledge and expertise.

“Attending Tech Up For Women is great exposure to the latest technological industry advances in today’s corporate environment. Attendees will be introduced to resources that will give them a leading edge enabling them to be more strategic and achieve optimal results in their companies”, said Kathy Murray, Executive Forum Angel Investor and Tech Up Events Advisory Board Member.

With tech jobs thriving in the United States and the digital community is at an all-time high. While 56% of the workforce are women and 55% of Twitter and Facebook users are women – only 28% of proprietary software jobs are held by women, 25% of IT jobs, 11% of women are executives at Fortune 500 companies, and only 5% of tech startups are owned by women.

“The conference will give women, in any industry, the opportunity to learn and see new products to impact performance management. It will provide women the chance to learn, expand personal development and create a stronger organizational culture by their increased technology knowledge,” said Felicia Watson, Managing Director of Corporate Learning Hub.

TU provides a one-day event, bringing in skill based trainers, panels to discuss the “how-to” from many different industries, keynote speakers that will provide keen insights and vendors who will offer attendees an opportunity to hands-on demo new products and services in the tech world.

Keynote Speakers will share how a basis in technology education has led them to a wide variety of career experiences. Their stories will show how technologies impact all of our work, now and on the horizon. Even more, the speakers discuss how to engage in FemTech and FinTech, even if our basic education has not been technology based.

To learn more about TECH UP FOR WOMEN, visit www.corporatelearninghub.com/techupforwomen or contact 203-254-0899.

About TechUp Events LLC:

TechUp Events LLC assist women in all industries through technology. TechUp For Women offers educational programs to inspire women to examine opportunities to effectively move forward in tech, find resources and advancement that they need.

About Corporate Learning Hub:

Corporate Learning Hub LLC provides renown faculty specialists which provide on-site training programs specifically designed to meet our clients needs and achieve desired results. CLH specializes in negotiation skill and tactical training for Sales, Supply Chain Management, Strategic Sourcing, Legal, Contract Negotiations, Construction, Diversity and Inclusion, Multi and Cross Cultural Relationships (both internally and externally), Leadership and Team Building, Culture for Success for Retention and Recruiting. CLH’s trainings are recognized as world renowned blueprints for skillful and successful training, providing guidelines and insights into the complex world of leadership, negotiations and diversity. Many of our trainers are multi-lingual.

For more information please go to www.corporatelearninghub.com or email: info@corporatelearninghub or call 203-254-0899

CONTACT:

Robbin Watson
R Public Relations

(203) 913-9813

robbin@rpublicrelations.com

How Long Will Tech Talent Hold The HR Upper Hand? | Featured Image

How Long Will Tech Talent Hold The HR Upper Hand?

Written by Peter Cummings, Founder, DevScore.

How Long Will Tech Talent Hold The HR Upper Hand? | Main Image

When it comes to demand for IT talent; developers, coders, and programmers have never had it so good. But do those making these key hires always know what they’re buying? As Peter Cummings, Founder, DevScore, wonders how long recruiters can stay on the backfoot for.

Peter Cummings, DevScore
Peter Cummings is a highly sought after IT Specialist with expert knowledge in three distinct fields; IT Security, Cloud Computing and Development.

Recruiting for niche IT positions continues to be a problem. It’s not that there’s (necessarily) a shortage of talent, but as demand for connected devices and Internet of Things technology starts to gain traction, organisations that have never before hired software developers and programmers now find themselves in desperate need of them. Yesterday.

Great news for us techies, right? Well, kinda. The thing is we need to make sure that what we’re being hired to do, is exactly what the companies hiring us need us to actually do. That might sound odd, but if (like me) you’ve been in the dev game for a good few years, you’ll appreciate the challenge of being led tentatively towards a role that your skills aren’t the best fit for, or being ushered into an organisation where the need initially identified isn’t quite as urgent as first thought.

With the shoe on the other foot for a moment — it’s hard for those tasked with hiring us to keep track of IT demands. Not just because IT has a pretty steep learning curve; but it’s constantly changing. A lot of HRs and recruiters don’t know what they don’t know. They lack the depth of technical knowledge needed to hire the right coder for the job — because they aren’t coders themselves.

Conventional wisdom just doesn’t apply. Illustrating a developer’s breadth of expertise using just a CV doesn’t work, so recruiters resort to other methods, doing their best to assess skills through coding tests and other time consuming tasks. Which can often be a massive waste of time for all.

Where development’s concerned, for HR types, getting the right person in place matters more than in most other hires — mostly because we coders come at a premium and are often fought over tooth and nail by different companies.

So how can we demonstrate our skills and expertise in the right way?

Well, first we need to emphasise our specific skillsets and explain how experience and expertise supercede formal education. A lot of software developers are completely self-taught (myself included) and few have any formal education (and we’re in good company considering the likes of Bill Gates and Mark Zuckerberg swapped education for entrepreneurship).

The fact is the best person for the job might not be who you’d first expect. This fact requires a bit of a mindset shift from a HR perspective. And while skills are inherently difficult to prove, demonstrating impact is a good alternative to coding tests, in-depth interviews, and awkward discussions.

Overall, it’s crucial that companies hire developers that can hit the ground running — for everyone’s benefit. But getting the right fit for any job means helping HRs and recruiters better understand the value you can bring and guiding them through your specific skills — without dazzling them with technical jargon.

Insight like this will ultimately help recruiters and HR managers minimise hiring errors in an increasingly important and costly area of their businesses.

Plus it’ll make your working life a whole lot easier — so you can concentrate on doing the job you were hired to do, rather than pick your way through Jira tickets and technical documentation until the lead dev gets it together…


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5 HR Tech Trends Shaping Your Business | Featured Image

5 HR Tech Trends Shaping Your Business

5 HR Tech Trends Shaping Your Business | Main Image

Technology continues to drive and disrupt today’s talent management strategies. As we move closer to the halfway point of 2017, we take a look at 5 key HR tech trends shaping your business.

Cybersecurity skills challenges

The widely publicised global data breach that affected the NHS last month highlights the very real risks to all businesses. After the talent shortage, PWC notes that cybersecurity is the second highest ranked concern for CEOs, with three quarters (76%) citing this it as a significant challenge in its annual CEO Survey. A UK government report also found that half of all businesses have experienced at least one data breach or cybersecurity attack in the past year, rising to two thirds of medium and large businesses. Your ability to secure your data is an increasing issue and the pressure is on HR to source talent with vital cybersecurity skills. A report from Experis found that demand for cybersecurity professionals is at an all time high, echoing an earlier survey from Robert Half, Technology and Recruitment : The Landscape For 2017 which found that sourcing tech talent with cybersecurity skills was a priority for over half of all hiring managers this year.

The ongoing debate over AI

Predictions of a jobless world have thrown the debate over AI sharply into focus but AI and automation offer a number of benefits for hiring teams. Writing in the Harvard Business Review, Satya Ramaswamy describes ‘machine to machine’ transactions as the ‘low hanging fruit’ of AI rather than ‘people displacement’.

Elsewhere, Gartner predicts that by 2022 smart machines and robots could replace highly trained professionals in sectors including tech, medicine, law and financial services, transforming them into ‘high margin’ industries resembling utilities. But it stresses the benefit that AI brings in replacing repetitive, mundane tasks and offering more meaningful work. The key is to create the right blend of AI and human skills, which HR is ideally positioned for. Gartner suggests that a further benefit of AI is the alleviation of skills shortages in talent starved sectors.

A beneficial and immediate use of AI for HR is the automation of mundane and repetitive tasks in the recruitment cycle through HR technology, allow hiring teams to focus on creating the effective candidate and employee experience that their business urgently needs.

Chatbots in hiring

Today chatbots are emerging as an essential tech tool for high volume recruitment, engaging with candidates via messaging apps with the aim of creating a more interactive and engaging hiring process. The AA was one of the first brands to feature this smart technology and this year it is predicted that chatbot Stanley will interview 2.5 million candidates. As the skills shortage continues, the chatbot offers a more direct and effective way of engaging with sought after millennials or graduate talent. Chatbots are also predicted to make HR’s life easier through simple interactions via mobile devices for both candidates and employees.

Dark data

While still in the exploration stage, dark data can offer vital insights into talent sourcing. Up to 80% of the data created is ‘unstructured’ or ‘dark’ data found in, for example, e-mails, text messages, spreadsheets and pds. At present it is not usable in analytics but AI can be leveraged to organise it into a more usable form. Last month it emerged that Apple have acquired a machine learning based company to strengthen its own capabilities in the area of dark data. Deloitte’s Global Talent Trends report for 2017 reports that only 9% of businesses have a good understanding of the talent dimensions that drive performance. Dark data may help to illuminate those dimensions.

Moving to predictive analytics

It’s not a new or emerging HR tech trend but the transition to predictive analytics is one that HR must eventually (reluctantly?) make as the skills gap in the UK widens and the availability of qualified and digitally able candidates continues to fall. Applying people analytics improves hiring outcomes, reduces the level of early departures from your business and enables HR to begin to predict and plan for future hiring needs. The first step towards predictive analytics is for tech-averse hiring teams to relinquish manual recruitment systems in favour of HR technology and begin to understand the key metrics affecting your hiring process.

Advorto’s recruitment software provides workflow and structure across the entire hiring process, offering a dynamic database of candidates and analytics. Used by some of the world’s leading organisations, it provides a straightforward first step into AI, HR analytics and big data. Start your 30 day free trial today.


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Enterprise Journey to Becoming Digital

Do you want to be a digital enterprise? Do you want to master the art of transforming yourself and be at the forefront of the digital realm?

How can you change your business to achieve this?

Derive new values for yourself, and find better and more innovative ways of working. Put customer experience above and beyond everything as you find methodologies to support the rapidly changing demands of the digital world.

Your transformation will be successful only when you identify and practice appropriate principles, embrace a dual strategy that enhances your business capabilities and switch to agile methodologies if you have not done it already.

The journey to becoming a digital maestro and achieving transformation traverses through four main phases.

  • Becoming a top-notch expert with industrialized IT services – by adopting six main principles
  • Switching to agile operations to achieve maximum efficiency – so that you enjoy simplicity, rationality and automation
  • Creating an engaging experience for your consumers using analytics, revenue and customer management – because your customers come first; their needs and convenience should be your topmost priority
  • Availing opportunities for digital services – assessing your security and managing your risks

Becoming a top-notch expert with industrialized IT services

There are five key transformation principles that can help you realize the full potential of digital operations and engagement.

  • Targeting uniqueness that is digitized
  • Designing magical experiences so as to engage and retain your consumers
  • Connect with digital economics, and collaborate so as to leverage your assets
  • Operate your business digitally, customer experience being the core
  • Evolving into a fully digital organization through the side by side or incremental approach

Initially a digital maturity analysis has to be performed, followed by adoption of a targeted operational model. Maturity can be divided into five different levels: initiating, enabling, integrating, optimizing and pioneering, which are linked to seven different aspects: strategy, organization, customer, technology, operations, ecosystem and innovation, of which the last two are the most critical. The primary aim should be to cover all business areas that are impacted by and impact digital transformation.

Before taking a digital leap, the application modernization wheel should be adopted. Identify your targets, which will act as main drivers. Determine application states, and then come up with a continuous plan. This is referred to as the Embark phase, during which you understand the change rationale of your applications, and then improve metrics, which drive changes. During the Realize phase, you analyze ways in which you can change your operations and speed up your delivery. In the process, you have to improve quality, while ensuring your product line is aligned with your business needs. You establish DevOps, beginning from small teams, and then moving forward using new technologies.

The third phase is Modernize, during which you plan and implement your architecture such that your apps are based on API services. The last stage is Optimize in which performance is monitored, and improvements are made when and where they are necessary.

Switching to agile operations to achieve maximum efficiency

Data centers now feature several applications, suitable for the IT, telecommunication and enterprise sectors, but their offered services have to be responsive to the changing trends and demands. Ericsson brings agility into the picture so as to achieve efficiency through automation. This can be made possible with the NFV Full Stack, which includes a cloud manager, execution environment, SDN controllers and NFV hardware. The solution is capable to support automated deployment while providing you flexibility through multi VIM support. Check out this blog post to see a demonstration of a virtualized, datacenter and explore their vision of future digital infrastructure.

NFV’s potential can be fully achieved only when the hybrid networks are properly managed, which dynamic orchestration makes a possibility. The approach taken automates service design, configuration and assurance for both physical and virtual networks. Acceleration of network virtualization is being realized through the Open Platform for Network Functions Virtualization (OPNFV), a collaborative project under the Linux Foundation that is transforming global networks through open source NFV. Ericsson is a platinum-level founding OPNFV member, along with several other telecom vendors, service providers and IT companies leading the charge in digitalized infrastructure.

Creating an engaging experience for your consumers

Customer experience is the central focus when you are in the digital realm. Customer experience should be smooth, effortless and consistent across all channels.

Design a unique omnichannel approach for your customers. This means that you should be able to reach out to your customers through mobile app, social media platforms and even wearable gadgets. Analyze real-time data, and use the results for improving purchase journeys obvert different channels like chatbots and augmented reality. Advanced concepts like clustering and machine learning are used to cross data over different domains, and then take appropriate actions. For instance, if you were a Telco, you should be able to offer a new plan, bundle or upgrade to each customer at the right time. All of the analytics data can also be visualized for a complete understanding through which the customer journey can be identified, and the next best action can be planned out.

Availing opportunities for digital services

Complexity increases when all your systems are connected, and security becomes a more important concern. You should be able to identify new vulnerabilities and threat vectors, and then take steps to protect your complete system. And this protection should extend to your revenues, and help you prevent fraud.

A Security Manager automates security over the cloud as well as physical networks. The two primary components are Security Automation and 360 Design and Monitoring. New assets are detected as security is hardened, which are then monitored continuously.

Additionally the Digital Risk and Business Assurance enable your business to adapt in the dynamic environment while reducing impact on your bottom line. Assurance features three levels: marketplace, prosumer and wholesale assurance. The end result is delivery of a truly digital experience.

Want proof that the above methodologies do work wonders? Two of Ericsson customers, Verizon and Jio, have already been nominated as finalists for the TM Forum EXCELLENCE Awards.

I also encourage you to join and/or follow TM Forum Live this week. If you’re headed to the conference, be sure to check out the Ericsson booth and connect with the team to learn more and discuss your digital transformation journey.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and IoT please click 'Follow' and connect on LinkedIn and Twitter.

Source: Enterprise Journey to Becoming Digital | Ronald van Loon | Pulse | LinkedIn

Solving the Job Application Black Hole with Chatbots

Written by Bailey Newlan, Content & Growth Marketer at Wade & Wendy.

ATS Black Hole

Applicant Tracking Systems (ATS) are not inherently bad — for the hiring manager. They are critical to managing massive amounts of resumes and establishing an efficient workflow. However, the candidate experience suffers. A survey conducted by CareerBuilder found that 52% of employers responded to less than 50% of candidate applications. With such little communication, candidates are left frustrated and unsure of where they stand. This is referred to as the “ATS Black Hole.”

By incorporating Conversational Intelligence into the existing process, better engagement, better communication and transparency can be realized.

Conversation with Wendy in Facebook Messenger screenshot
This is how a conversation with Wendy, our conversationally intelligent chatbot, begins in Facebook Messenger.

Here’s How the ATS Fails Candidates

When an individual applies for a job, his or her resume is sent into a company’s ATS. Through matching algorithms and keyword extraction, a shortlist of candidates is generated for the hiring manager to review. These algorithms fail to take into account spelling errors and deviances in word choice (explained in more depth here). Because matches are generated exclusively through one-dimensional data, hiring managers’ understanding of candidates is distorted.

The result: Very few qualified candidates make it past the ATS and to the interview stage.

This problem is further compounded by the ease of the application process. In response to mounting candidate frustrations with lengthy applications, many employers now offer “Quick Apply” or “1-Click Apply” options. While this significantly lowers friction for applicants on the front-end, they are actually worse off in the long run. Employers are receiving more and more resumes, but, due to the simplicity of new application processes, they now have less data from which to draw conclusions.

In a world where candidates expect engagement and transparency, they are getting less and less.

On average, a single corporate job opening receives 250 applications. With an influx of resumes to review and no uptick in resources with which to process them, hiring managers cannot possibly respond to each individual applicant. In fact, of those 250 applications, only four to six will be called in to interview. As a result, most candidates receive zero communication, experiencing what has ubiquitously been labeled the “ATS Black Hole.”

Here’s Where Conversational Intelligence Comes In

Conversational Intelligence transforms the application process from something static to dynamic. At Wade & Wendy, we believe artificial intelligence is at its best when used conversationally. Our two chatbot personalities are built with this in mind. By creating a space in which conversations can occur, chatbots have the power to drastically improve the application experience.

Chatbots can engage every single applicant at any point in time.

Immediately following submission of their resume, candidates are directed to have a conversation with a chatbot through either text or Facebook Messenger. This introduction allows for a much friendlier first point of contact. Rather than receiving a “Thank You for Your Application” message from a “do not reply” email address, you meet Wendy. Here, candidates can inquire further about the company and the job itself.

At Wade & Wendy, we have designed each of our chatbot personalities to be conversational and inviting. Conversational Intelligence has the power to make a notoriously stressful and automated process fun and distinctly personable, especially when emojis are involved 🙌.

Chatbots give every candidate an equal chance at landing an interview.

Chatbots provide context and depth around the static data gleaned from the ATS. Because every candidate can be engaged via chatbot, algorithm mismatches, various misspellings and differences in keywords no longer hinder a strong candidate from getting in front of the hiring manager. Chatbots, like Wendy, allow candidates to provide context to their resume; they have an opportunity to explain properly a successful project that would otherwise be summed up in a mere bullet point.

Candidate Chats with Wendy
Here, the candidate is able to give Wendy more details about her experience with open source projects.

A candidate’s experiences and skills cannot always be properly communicated in a resume. On top of that, the ATS responsible for gauging a candidate’s ability to do a job utilizes flawed algorithms and thus provides flawed recommendations. Conversational Intelligence allows candidates to best communicate who they are and what they can do, while also overcoming algorithm flaws within the ATS.

About the Author:

Bailey Newlan, Content & Growth Marketer at Wade & Wendy

Bailey Newlan is the Content & Growth Marketer at Wade & Wendy, a New York City-based startup on a mission to make hiring more human. Wade & Wendy’s artificially intelligent chatbot personalities bring clarity and simplicity to the hiring process. Wade is an always-on career guide for job seekers, while Wendy assists hiring managers throughout the recruitment process. To connect, reach out to Bailey via LinkedIn, Twitter or Medium and don’t forget to join the beta list.✌️


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How Machine Learning is Revolutionizing Digital Enterprises

How Machine Learning is Revolutionizing Digital Enterprises

According to the prediction of IDC Futurescapes, two-thirds of Global 2000 Enterprises CEOs will center their corporate strategy on digital transformation. A major part of the strategy should include machine-learning (ML) solutions. The implementation of these solutions could change how these enterprises view customer value and internal operating model today.

If you want to stay ahead of the game, then you cannot afford to wait for that to happen. Your digital business needs to move towards automation now while ML technology is developing rapidly. Machine learning algorithms learn from huge amounts of structured and unstructured data, e.g. text, images, video, voice, body language, and facial expressions. By that it opens a new dimension for machines with limitless applications from healthcare systems to video games and self-driving cars.

In short, ML will connect intelligently people, business and things. It will enable completely new interaction scenarios between customers and companies and eventually allow a true intelligent enterprise. To realize the applications that are possible due to ML fully, we need to build a modern business environment. However, this will only be achieved, if businesses can understand the distinction between Artificial Intelligence (AI) and Machine Learning (ML).

Understanding the Distinction Between ML and AI

Machines that could fully replicate or even surpass all humans’ cognitive functions are still a dream of Science Fiction stories, Machine Learning is the reality behind AI and it is available today. ML mimics how the human cognitive system functions and solves problems based on that functioning. It can analyze data that is beyond human capabilities. The ML data analysis is based on the patterns it can identity in Big Data. It can make UX immersive and efficient while also being able to respond with human-like emotions. By learning from data instead of being programmed explicitly, computers can now deal with challenges previously reserved to the human. They now beat us at games like chess, go and poker; they can recognize images more accurately, transcribe spoken words more precisely, and are capable of translating over a hundred languages.

ML Technology and Applications for Life and Business

In order for us to comprehend the range of applications that will be possible due to ML technology, let us look at some examples available currently:

  • Amazon Echo, Google Home:
  • Digital assistants: Apple’s Siri, SAP’s upcoming Copilot

Both types of devices provide an interactive experience for the users due to Natural Language Processing technology. With ML in the picture, this experience might be taken to new heights, i.e., chatbots. Initially, they will be a part of the apps mentioned above but it is predicted that they could make text and GUI interfaces obsolete!

ML technology does not force the user to learn how it can be operated but adapts itself to the user. It will become much more than give birth to a new interface; it will lead to the formation of enterprise AI.

The limitless ways in which ML can be applied include provision of completely customized healthcare. It will be able to anticipate the customer’s needs due to their shopping history. It can make it possible for the HR to recruit the right candidate for each job without bias and automate payments in the finance sector.

Unprecedented Business Benefits via ML

Business processes will become automated and evolve with the increasing use of ML due to the benefits associated with it. Customers can use the technology to pick the best results and thus, reach decisions faster. As the business environment changes, so will the advanced machines as they constantly update and adapt themselves. ML will also help businesses arrive on innovations and keep growing by providing the right kind of business products/services and basing their decisions on a business model with the best outcome.

ML technology is able to develop insights that are beyond human capabilities based on the patterns it derives from Big Data. As a result, businesses would be able to act at the right time and take advantage of sales opportunities, converting them into closed deals. With the whole operation optimized and automated, the rate at which a business grows will accelerate. Moreover, the business process will achieve more at a lesser cost. ML will lead businesses into environs with minimal human error and stronger cybersecurity.

ML Use Cases

The following three examples show how ML can be applied to an enterprise model that utilizes Natural Language Processing:

  • Support Ticket Classification

Consider the case where tickets from different media channels (email, social websites etc.) needs to be forwarded to the right specialist for the topic. The immense volume of support tickets makes the task lengthy and time consuming. If ML were to be applied to this situation, it could be useful in classifying them into different categories.

API and micro-service integration could mean that the ticket could be automatically categorized. If the number of correctly categorized tickets is high enough, a ML algorithm can route the ticket directly to the next service agent without the need of a support agent.

  •  Recruiting

The job of prioritizing incoming applications for positions with hundreds of applicants can also be slow and time consuming. If automated via ML, the HR can let the machine predict candidate suitability by providing it with a job description and the candidate’s CV. A definite pattern would be visible in the CVs of suitable candidates, such as the right length, experience, absence of typos, etc. Automation of the process will be more likely to provide the right candidate for the job.

  • Marketing 

ML will help build logo and brand recognition for businesses in the following two ways:

  1. With the use of a brand intelligence app, the identification of logos in event sponsorship videos or TV can lead to marketing ROI calculations.
  2. Stay up to date on the customer’s transactions and use that behavior to predict how to maintain customer loyalty and find the best way to retain them.

How Enterprises Can Get Started Implementing Machine Learning

Businesses can step into the new age of ML and begin implementing the technique by letting the machines use Big Data derived from various sources, e.g. images, documents, IoT devices etc to learn. While these machines can automate lengthy and repetitive tasks, they can also be used to predict the outcome for new data. The first step in implementation of ML for a business should be to educate themselves about its nature and the range of its applications. A free openSAP course can help make that possible.

Another step that can bring a business closer to ML implementation is data preparation in complex landscapes. The era of information silos is over and there is an imperative need for businesses to gather data from various sources, such as customers, partners, and suppliers. The algorithms must then be provided open access to that data so they can learn and evolve. The Chief Data Officer of the company can oversee the ML integration process.

To start with completely new use cases for Machine Learning is not easy and requires a good understanding of the subject and having the right level of expertise in the company. A better starting point for many companies would be to rely on ML solutions already integrated into standard software. By that it will connect seamless with the existing business process and immediately start to create value.

Lastly, businesses should start gathering the components necessary for building AI products. Among the requirements would be a cloud platform capable of handling high data volume that is derived from multiple sources. The relevant people are as important to this step as are the technology and processes. After all, they would be the ones who will be testing the latest digital and ML technologies.

If you want more information on SAP Machine Learning, then go here to subscribe to the webinar on Enabling the intelligent Enterprise with Machine Learning.

The presenters include Dr. Markus Noga: VP Machine Learning Innovation Center Network, SAP SE. You can follow him on Twitter. Ronald van Loon is the other presenter for the webinar. Mr. van Loon is counted among the Top 10 Big Data expert and is an IoT Influencer. You can also follow him on Twitter.


Source: How Machine Learning is Revolutionizing Digital Enterprises | Ronald van Loon | Pulse | LinkedIn