How can AI chatbot help you with recruitment?

“Looking for good, reliable interns,” went my ad. More than three dozen people responded, and I went through a tedious process trying to screen them. 

Me: “Do you have experience?”

Them: “No.”

Me: “Why do you want this internship?”

Them: “I don’t know. You’re offering money, and I’m broke.”

Me: “What do you expect to get out of this?”

Them: “Money and a certificate.”

I wasn’t trying to recruit for the Avengers. Why was it so hard to find smart, motivated individuals? Forget the hard part; I spent hours looking for the right bunch of people.

Only if I had a bot doing it for me. That’s right. Bots. AI Chatbots can help you with recruitment.

Seems incredulous, doesn’t it?

Wait till you hear all the facts!

Chatbots can do what the HR does and faster

So say you’re a smaller company or a startup. You may not have as much manpower or the resources to hire an HR manager. What do you do then? Do it all by yourself? You could except you would have to take your eye off the ball and focus on sifting through numerous applicants.

Get a chatbot instead. It can help you with the initial screening process and save time while they’re at it. According to a SHRM study from 2016, the average cost per hire for companies is $4,129 and the average time it takes to fill a position is 42 days.

Lay-offs are a result of bad hiring and not so much because of the prevailing market conditions.

Chatbots can help you screen better.

Some of the parameters by which potential employees are judged include GPA, skill set, and relevant experience. Bots can be trained to assess their personality as well. Take Interact by Xiobin as an example. It’s the world’s first assessment platform. Candidates can take assessments prior to the interview. This can help employers weed out candidates that do not match their expectations.

While grades do matter, they aren’t the sole factor that an employee looks or should look for.

Chatbots can save you money.

I’m not trying to say this can save you travel expenses or the expense incurred during the recruitment process.

A survey by CareerBuilder found out that 41% of companies have lost at least $25,000 and 25% of companies have lost $50,000 all because of a bad hire.

Usually, a company has to go through tons of potential candidates in a single day. You can cut the thick tension in the interview area with a knife. Going through so many resumes in a day can leave room for human errors. Using a chatbot can save you a lot of effort, and you will only have to interview the people who make it through the final screening. That, can help you find the right candidate and save your company thousands.

Candidates have a better experience with chatbots.

Chatbots spells good news for candidates as well. They can take their time and answer questions. This takes out the whole ‘I’m so nervous’ emotion out of the equation.

As a recruiter, you will not have the time to send out a personalized email to every candidate that applies. After the first round of recruitment, candidates are often in the dark about their application. Chatbots can help to automate this process. They can be used to send personalized emails to everyone who applied bringing good or bad news for them. Not hearing back from a company can make candidates feel ignored. Zappos, a US retail giant, implemented TalentPitch in their hiring process. Zappos achieved 97%  candidate satisfaction.

Chatbots can inform candidates about work culture.

Forget the fancy PowerPoint presentations trying to schmooze candidates into joining your company. All you need is an AI powered chatbot. The bot can introduce candidates to the company that they are applying to in an interactive way. This saves you precious time and money. It even helps you to get the word out there and reaches more candidates. A great example of this is Mya, an HR chatbot. Mya answers questions about the company.

AI Chatbot can help you find past applicants faster.

How often have you wondered that you remember seeing a resume that you swear was the right for your current job opening? Try Textkernel. It is an AI powered bot that scrapes through past applicants profiles’ to find you the perfect candidate. Again, it saves you time. You don’t have to spend hours on LinkedIn to hunt for them.

To AI or not to AI?

A bot can never replace the ‘human’ in human resources. But, it can sure make the process of hiring and perhaps firing a lot easier. Chatbots kill the whole concept of sending out resumes to companies. Companies don’t have to waste time sifting through an entire football field worth of candidates either.

Investing in a good AI chatbot can work wonders for your recruitment process. It can actually allow recruiters to do their job better. The interview round is much shorter and more fruitful. Reaching out to more candidates is also simpler. Educating them about the organization and what is expected of them is more efficient.

Saving money, a whole lot of time, and weeding out bad hires. I think the answer is pretty clear, don’t you?

Top 10 Must Follow Digital Marketing Trends In 2019

Are you working in an online market or running e-business or thinking to opt for a career in the digital market…

Then there are the huge possibilities that you are wondering to know what comes new in the digital market which has the huge potential of exponential growth in the future for the careers & businesses. It’s very crucial for people who are working in the digital market to adopt changes and act accordingly as fast as they can because, as we all know that we have been shifting towards the internet market where almost everything will be online either it’s job or business or other activities. but, we also know that it’s the internet market which is changing very fast then how can find the opportunity in it! That’s why, if you are in the digital market then you have to be more flexible to adapt the things fast to grow in the ever-evolving market.

To give a brief answer after studying this matter into the depth, we have found there are some digital marketing trends which have the more potential to become a prosperous industry in the future. Here are the top 10 Digital marketing trends in 2019 which will help you to opt for a suitable career in your life…

1.) Video Marketing – Video will be the next future of consuming content online (Forbes) and hence people who are involved in the video marketing industry, it will be great for them to make a career in this field.

2.) Artificial Intelligence – Today every economist, scholars as well as the renowned tech entrepreneurs such as Elon Musk, Jack Ma, Masayoshi Son, Jeff Bezoz and so on… are talking about artificial intelligence that how it’s going to shape our future! And it will be really an exponentially emerging field where people look for the future.

3.) Voice Search – As per the surveys, it’s shown that in 2020, 50% of searches on Google will be through voice however in current time it’s already crossed the 30% so it’s a great opportunity for the online market leaders to make their marketing and business strategy according to these changes.

4.) Story Telling – Storytelling has more potent whether it’s in the business or politics or marketing and selling of goods and services because people love stories.

5.) Influence Marketing – Before the revolution of internet, people are influenced by the only big public figure, celebrities or politicians but thanks to the internet who gave the opportunity to become an influencer for every person in their field by helping and solving the problem of their audience.

6.) Marketing & Sales Funnels – It’s been an ever-green option for past so many decades because there is a huge demand in every organization who can make their marketing and sales funnel effectively. 

7.) Marketing Automation – Since we all want simplification in our task so it has huge potential that businesses will prefer to automate their marketing activities. Hence in the digital market, there is an enormous demand for such tools and techniques.

Marketing Automation

8.) Social Media Marketing – It’s not rocket science but it has already applied in the business industry for past several centuries but in the technology era, it has shifted on the internet for so-called facebook, Instagram, Twitter and so on… where businesses are trying to build trust & emotional connection with their customer and hence most of the organization are trying to build their presence on social media by collaborating with the best Digital marketing company in India.

9.) Multi-channels of marketing – Nowadays businesses are more dynamic, and they want to do their promotion through the multiple channels so it also adds an advantage if someone is trying to do multi-channel of marketing.

10.) Data Analytics – Data plays a crucial role before taking any action in business or even in every stage of our life. It’s one of the most emerging fields where has a huge opportunity by using the data.

However sometimes it becomes hard for the businesses to make expertise in all these areas, that’s why we, Interactive Pixels – A Digital marketing agency in Delhi, are providing the all types of marketing services to businesses so that they can build their brand online and take advantage of these trends without taking out their focus from their main business task.

Smart Construction: How AI and Machine Learning Will Change the Construction Industry

Artificial Intelligence (AI) is when a computer mimics specific attributes of human cognitive function, while machine learning gives the computer the ability to learn from data, as opposed to being specifically programmed by a human. Here are ten ways that AI and machine learning will transform the construction and engineering industries into what we’ll call “smart construction.”

These days, seemingly everyone is applying Artificial Intelligence (AI) and machine learning. I have written about disruptions in the manufacturing industry, such as Industry 4.0, while illustrating the Hard Trends that indicate where improvements will be made in the future.

The construction industry, which makes up 7% of the global workforce, should already have applied these technologies to improve productivity and revolutionize the industry. However, it has actually progressed quite slowly.

Growth in the construction industry has only been 1% over a few decades while manufacturing is growing at a rate of 3.6%. With the total worker output in construction at a standstill, it is no surprise that the areas where machine learning and AI could improve such statistics were minimal. Yet, those technologies are finally starting to emerge in the industry.

Artificial Intelligence (AI) is when a computer mimics specific attributes of human cognitive function, while machine learning gives the computer the ability to learn from data, as opposed to being specifically programmed by a human. Here are ten ways that AI and machine learning will transform the construction and engineering industries into what we’ll call “smart construction.”

  1. Cost Overrun Prevention and Improvement

Even efficient construction teams are plagued by cost overruns on larger-scale projects. AI can utilize machine learning to better schedule realistic timelines from the start, learning from data such as project or contract type, and implement elements of real-time training in order to enhance skills and improve team leadership.

  1. Generative Design for Better Design

When a building is constructed, the sequence of architectural, engineering, mechanical, electrical, and plumbing tasks must be accounted for in order to prevent these specific teams from stepping out of sequence or clashing. Generative design is accomplished through a process called “building information modeling.” Construction companies can utilize generative design to plot out alternative designs and processes, preventing rework.

  1. Risk Mitigation

The construction process involves risk, including quality and safety risks. AI machine learning programs process large amounts of data, including the size of the project, to identify the size of each risk and help the project team pay closer attention to bigger risk factors.

  1. More Productive Project Planning

A recent startup utilized 3D scanning, AI and neural networks to scan a project site and determine the progress of specific sub-projects in order to prevent late and over-budget work. This approach allowed management to jump in and solve problems before they got out of control. Similarly, “reinforcement learning” (machine learning based on trial and error) can help to collate small issues and improve the preparation phase of project planning.

  1. More Productive Job Sites

Professionals often fear machines will replace them. While intelligent machines will take over first repetitive and eventually more cognitively complex positions, this does not mean a lack of jobs for people. Instead, workers will transition to new, more fulfilling and highly productive roles to save time and stay on budget, and AI will monitor human productivity on job sites to provide real-time guidance on improving each operation.

  1. Safety First

Manual labor not only has the potential to be taxing on the body, but also to be incredibly dangerous. Presently, a general contractor is developing an algorithm that analyzes safety hazards seen in imagery taken from a job site, making it possible to hold safety briefings to eliminate elevated danger and improve overall safety on construction sites.

  1. Addressing Job Shortages

AI and machine learning have the capacity to plot out accurate distribution of labor and machinery across different job sites, again preventing budget overruns. One evaluation might reveal where a construction site has adequate coverage while another reveals where it is short staffed, thereby allowing for an efficient and cost-effective repositioning of workers.

  1. Remote Construction

When structures can be partially assembled off-site and then completed on-site, construction goes faster. The concept of using advanced robots and AI to accomplish this remote assembly is new. Assembly line production of something like a wall can be completed while the human workforce focuses on the finish work.

  1. Construction Sites as Data Sources

The data gathered from construction sites and the digital lessons learned by AI and advanced machines are all tools for improving the productivity of the next project. In this way, each construction site can contribute to a virtual textbook of information helpful to the entire industry.

  1. The Finishing Touches

Structures are always settling and shifting slightly. It would be beneficial to be able to dive back into data collated by a computer to track in real time the changes and potential problems faced by a structure — and AI and machine learning make this possible.

Given the inevitable changes on the horizon, and the potential for costs to drop up to 20% or more with increased productivity, professionals in the construction industry must pay attention to Hard Trends, become more anticipatory, and ultimately learn to turn disruption and change into opportunity and advantage.

Know What’s Next

Discover proven strategies to accelerate innovation with my latest book The Anticipatory Organization. Follow this link for a special offer.

Shape the Future–Before Someone Else Does It For You!

Artificial Intelligence: Disruption or Opportunity?

AArtificial intelligence (AI), one of twenty core technologies I identified back in 1983 as the drivers of exponential economic value creation, has worked its way into our lives. From Amazon’s Alexa and Facebook’s M to Google’s Now and Apple’s Siri, AI is always growing — so keeping a closer eye on future developments, amazing opportunities, and predictable problems is imperative.

IBM’s Watson is a good example of a fast-developing AI system. Watson is a cognitive computer that learns over time. This cognitive AI technology can process information much more like a smart human than a smart computer. IBM Watson first shot to fame back in 2011 by beating two of Jeopardy’s greatest champions on TV. Thanks to its three unique capabilities — natural language processing; hypothesis generation and evaluation; and dynamic learning — cognitive computing is being applied in an ever-growing list of fields.

Today, cognitive computing is used in a wide variety of applications, including health care, travel, and weather forecasting. When IBM acquired The Weather Company, journalists were quick to voice their amusement. However, IBM soon had the last laugh when people learned that the Weather Company’s cloud-based service could handle over 26 million inquiries every day on the organization’s website and mobile app, all while learning from the daily changes in weather and from the questions being asked. The data gleaned from the fourth most-used mobile app would whet the appetite of the permanently ravenous IBM Watson and enable IBM to increase the level of analytics for its business clients.

Weather is responsible for business losses to the tune of $500 billion a year. Pharmaceutical companies rely on accurate forecasts to predict a rise in the need for allergy medication. Farmers’ livelihoods often depend on the weather as well, not only impacting where crops can be successfully grown but also where the harvest should be sold. Consider the news that IBM followed its Weather Company purchase by snapping up Merge Healthcare Inc. for a cool $1 billion in order to integrate its imaging management platform into Watson, and the dynamic future of AI becomes more than evident.

The accounting industry can benefit from this technology, as well. When I was the keynote speaker at KPMG’s annual partner meeting, I suggested that the company consider partnering with IBM to have Watson learn all of the global accounting regulations so that they could transform their practice and gain a huge advantage. After doing their own research on the subject, the KPMG team proceeded to form an alliance with IBM’s Watson unit to develop high-tech tools for auditing, as well as for KPMG’s other lines of business.

Thanks to the cloud and the virtualization of services, no one has  to own the tools in order to have access to them, allowing even smaller firms to gain an advantage in this space. Success all comes back to us humans and how creatively we use the new tools.

IBM’s Watson, along with advanced AI and analytics from Google, Facebook, and others, will gain cognitive insights mined from the ever-growing mountains of data generated by the Internet of Things (IoT) to revolutionize every industry.

Advanced AI is promising almost limitless possibilities that will enable businesses in every field to make better decisions in far less time. But at what price? Many believe the technology will lead directly to massive job cuts throughout multiple industries. and suggest that this technology is making much of the human race redundant.

It is crucial to recognize how the technological landscape is evolving before our eyes during this digital transformation. Yes, it is true that hundreds of traditional jobs are disappearing, but it’s also important to realize the wealth of new roles and employment opportunities arriving that are needed to help us progress further.

The rise of the machines started with the elimination of repetitive tasks, such as those in the manufacturing environment, and it is now moving more into white-collar jobs. The key for us is not to react to change, but to get ahead of it by paying attention to what I call the “Hard Trends” — the facts that are shaping the future — so that we can all anticipate the problems and new opportunities ahead of us. We would do well to capitalize on the areas that computers have great difficulty understanding, including collaboration, communication, problem solving, and much more. To stay ahead of the curve, we will all need to learn new things on an ongoing basis, as well as unlearn the old ways that are now holding us back. Remember, we live in a human world where relationships are all-important.

We need to be aware of the new tools available to us, and then creatively apply them to transform the impossible into the possible. By acquiring new knowledge, developing creativity and problem-solving skills, and honing our interpersonal, social, and communication skills, we can all thrive in a world of transformational change.

Are you reacting to change or paying attention to the Hard Trend facts that are shaping the future?

If you want to anticipate the problems and opportunities ahead of you, pick up a copy of my latest book, The Anticipatory Organization.

Pop Quiz, Monday with Rassul Fazelat

I love that we can help to help fellow peers in the industry better access their next career move and also help companies understand this niche talent marketplace.

The Pop Quiz, Monday is a fun little exam that we love to give to savvy business owners. The examination is not a surprise after all since the interviewee already knew about the questions in advance. However, we can always pretend and have fun with the scenario of a young entrepreneur sitting in class nervously biting on their pencil. They are ready to take a pop quiz on a chapter that they were supposed to read the night before. Instead, they played Metroid all night on their SNES (Oops, this was me in high school). The real purpose of the pop quiz is that this is a fun way to introduce business tips from real-world experiences that you can not learn in a classroom. We want to thank our entrepreneur for being a good sport and volunteering their time to answer a few questions to help our community grow from their knowledge.

I want to introduce you to our guest today who will be taking our Pop Quiz Monday.

Can you please tell everyone your name?
Rassul Fazelat

Rassul Fazelat
Photo credit: Rassul Fazelat

What is your job role?
I am President & CEO of Data Talent Advisors, a boutique data & analytics talent advisory

Tell us about your company?
We are specialized data, analytics, & AI talent advisory, helping companies understand the marketplace, help with job description analysis/creation and overall talent acquisition.

What do you love most about your job?
I love that we can help to help fellow peers in the industry better access their next career move and also help companies understand this niche talent marketplace.

What motivates you to get up every day and go to work?
I love being part of the hottest industry in the tech sector. Something that everyone is talking about and something that is continuing to change the way we exist every day.

How do your co-workers inspire you?
We are only a team of three, but I really like the different perspectives our team members bring to the table.

How do you have fun at work (team building, pranks, etc..)?
We will be planning our 1st team Ski trip this year in Sochi Russia.

What are some of the challenges of your job?
The biggest challenge of my job is managing expectations and helping guide both candidates and companies for career and talent acquisition success, respectively.

What are some lessons learned from a past project that you can share with us?
We as a company are moving into a monthly billing model for our clients. It is a model that we have clients on, and it is a truly a business partnership helping our clients on many of facets or their journey into the data, analytics & AI space.

What advice would you give to someone who is starting in your industry?
For candidates, I can not stress the opportunity to get exposure to as many tools as possible. The number of tools being used is abundant but some industry staples have emerged, so it is paramount to have this experience for long-term career growth.

For companies, I would 1st ask what they are trying to achieve? Many times companies either want to bundle three different jobs into one or don’t have a good handle of their current job market for these niche jobs. It’s a completely new dynamic when companies are having to lure candidates (who have many options) versus candidates being selected by companies.

Thank you for taking our pop quiz today. You get an A+ for effort. You can learn more about our interviewee and their business by visiting them on the web:

www.datatalentadvisor.com – Web
@BigDataVision – Twitter

https://www.facebook.com/Data-Talent-Advisors-1769919759784522

Shaping the Future of A.I.

One of the biggest news subjects in the past few years has been artificial intelligence. We have read about how Google’s DeepMind beat the world’s best player at Go, which is thought of as the most complex game humans have created; witnessed how IBM’s Watson beat humans in a debate; and taken part in a wide-ranging discussion of how A.I. applications will replace most of today’s human jobs in the years ahead.

Way back in 1983, I identified A.I. as one of 20 exponential technologies that would increasingly drive economic growth for decades to come. Early rule-based A.I. applications were used by financial institutions for loan applications, but once the exponential growth of processing power reached an A.I. tipping point, and we all started using the Internet and social media, A.I. had enough power and data (the fuel of A.I.) to enable smartphones, chatbots, autonomous vehicles and far more.  

As I advise the leadership of many leading companies, governments and institutions around the world, I have found we all have different definitions of and understandings about A.I., machine learning and other related topics. If we don’t have common definitions for and understanding of what we are talking about, it’s likely we will create an increasing number of problems going forward. With that in mind, I will try to add some clarity to this complex subject.

Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. A.I. can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all A.I. relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the A.I. output.  

Machine learning is a subset of A.I. that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use we give them and the machine learning that takes place in the background.

Deep learning is a subset of machine learning that uses advanced algorithms to enable an A.I. system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learning and/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.

Autonomous computing uses advanced A.I. tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. A.I. autonomy includes perception, high-speed analytics, machine-to-machine communications and movement.  For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.  

Augmented thinking: Over the next five years and beyond, A.I. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights A.I. provides to get to a better answer faster.   

A.I. advances represent a Hard Trend that will happen and continue to unfold in the years ahead. The benefits of A.I. are too big to ignore and include:

  1. Increasing speed
  2. Increasing accuracy
  3. 24/7 functionality
  4. High economic benefit
  5. Ability to be applied to a large and growing number of tasks
  6. Ability to make invisible patterns and opportunities visible

Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of A.I., I want us to direct its future, putting it to the best possible use for humans. Yes, A.I. — like all technology — will take the place of many current jobs. But A.I. will also create many jobs if we are willing to learn new things. There is an old saying “You can’t teach an old dog new tricks.” With that said, it’s a good thing we aren’t dogs!

Start off The New Year by Anticipating disruption and change by reading my latest book The Anticipatory Organization. Click here to claim your copy!