Mediaboss Marketing

It is no secret that the hiring process is being taken virtual. Several companies are using applicant tracking systems and other recruiting software to improve their hiring process, making it faster and more effective. One technology that has the potential to be extremely helpful to the hiring process is artificial intelligence. However, recruiting AI is not without its issues. The visual deep dive below explains the process in more detail, but let's look at the pros and cons of recruiting AI. Cons of Using Artificial IntelligenceUnfortunately, recruiting AI has the potential to develop bias similar to humans. If the AI is trained with data that reflects a human recruiters bias, the AI will learn the pattern and repeat it. This is exactly what happened in 2018 with Amazons recruiting AI. Their AI was trained off of ten years of their hiring data where the machine learned to identify males as more qualified than females. This hurts a company's potential for success immensely as focusing on physical or personal factors like gender immediately minimizes the talent pool. It excludes candidates who could be extremely successful in the position for a reason that has nothing to do with their qualifications.

Additionally, several HR professionals do not believe they are prepared to begin using a recruiting AI. The technology is definitely new to most people and there will be a learning curve when it is first implemented. Because the AI learns by taking in data from the recruiters, more pressure is put on the recruiters to use the AI effectively so it doesnt learn any bad patterns and behaviors like the one explained in the paragraph above. Initially, HR professionals and recruiters will have to work extra hard to ensure the AI runs smoothly.

Most of the cons to using recruiting AI can be solved by good programming. Programming the AI with unbiased data will help the technology to act in the desired way. With unbiased data, the AI wont consider factors like a candidates gender, age, or race. It will take into account their skills and background as well as their interests. The machine should also be able to consider if the candidate would truly want to work for that company, if the person and the company are a good fit together.

Once the AI is programmed to be unbiased, it can do a much better job than human recruiters at eliminating unconscious discrimination from the recruiting process. This will help to add diversity to a company, which is extremely beneficial. Diversity adds greater creativity and innovation to a business. Diverse people contribute different ways of thinking, helping the business conquer problems in new ways. Diversity also leads to higher profitability. The most diverse companies have greater rates of financial success and long-term profitability.

Overall, if trained correctly, a recruiting AI can be very beneficial. It can make the process easier, faster, and more fair to diverse candidates. However, if it is programmed poorly, the cons certainly outweigh the pros. Hopefully with time, recruiters and HR professionals will be able to perfect the use of recruiting AI and reap the benefits of a quicker and more effective hiring process. Recruiting AI can increase a companys diversity and profitability all while making hiring an easier process.

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How Using Artificial Intelligence Will Change the Way We Hire for Diversity (infographic) - Digital Information World

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There has never been more demand for ways to translate strategy into action and action into outcomes.

The way companies sell, and consumers buy, has dramatically changed; especially post COVID-19.

(Related:Ways to Stress Test Your Business for Coronavirus Impact)

Bold changes are needed to support those changes.

Technologies to support the new virtual selling process are and should continuously be changing.

Onboarding has to be quicker and more effective.

Getting agents and advisors into production sooner has to be scalable, cost-effective and skill-development-sustainable, with development assets and systems playing a more critical role.

We have to have a method, system, and platform to help agents and advisors:

How do we do all this, on a budget and while seamlessly implementing these changes?

Thats where Im at right now, in the research and planning phase.

Its amazing how many companies are now marketing their services to the sales industry. Some seem useful, others seem like Johnny come lately, and a couple Im going to try.

Because a lot of what I do has been virtual for some time, Im always looking for a way to use services that combine or package some of the things I do anyway, like email marketing, creating landing pages, and making outbound calls.

Part of what I do is to help sales managers, agents and marketing teams improve their conversion rates by becoming more relevant to all customer interactions. Ive been looking for an AI-enabled platform to store my material, scripts, email templates and rebuttals, in a way that makes the conversation with prospects more relevant, so agents can close more.

I doubt getting email marketing, creating landing pages and making outbound calls in one platform is possible. Even if I could eliminate the cost of just one of these (I know Mailchimp can do the email and landing pages) Id consider it; I like to split test things, anyway.

It would be nice if an AI platform could deliver my content, in real time, during a call or presentation, to provide the right message at the right time for the salesperson.

(I know, Im a dreamer, but, if an 18-wheeler can be driven across the country using AI am I really asking too much?)

I recently came across a platform by a company called Sales Talk Technology, a platform with sales intelligence, sales content, and analytics in one place.

They use the right words workflows built-in,customization available, automate sales tasks,seamless integration into someones current CRM, etc.

But can I upload my content, customize it for markets agents/advisors work, could SalesTalks AI make my scripts, rebuttals, and templates available in real time, so agents and advisors could use them to improve their conversion rates, by becoming more relevant in all customer interactions, in real time?

I dont know, but that system is one of three Im going to try; Im telling you so, if you have any ideas, you might comment and let us all become aware of COVID-19-inspired innovation.

I know this much: We all have to make it possible for agents and advisors to be more engaging with prospects, at the right time with the right message, right?

If it was only possible. Stay tuned Ill let you know what I find out.

Connect with ThinkAdvisor Life/Health onFacebook,LinkedInandTwitter.

Lloyd Lofton is the founder of Power Behind the Sales and the author ofThe Salesheros Guide To Handling Objections.

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Post-COVID-19, Artificial Intelligence and Being Relevant - ThinkAdvisor

HOBOKEN, N.J., Feb. 9, 2021 /PRNewswire/ --DropShot Capital Management, an alternative investment platform, has been innovating artificial intelligence solutions to portfolio management since 2018, focusing on data-driven approaches that deliver a customer experience free of monetary lock-ups and provide a clear window into one's investment performance in a fast-changing financial environment. DropShot offers investors access to cutting-edge machine learning models with a very competitive fee structure.

Our new Fixed Income Fund (FIF) seeks to cater to investors looking for an actively managed, rates-exposed portfolio. The product will adhere to all of DropShot's core principles, and will continue to rely on our machine learning engine for its portfolio rebalancing decisions. The product will be long only and take exposure via fixed income ETFs. The FIF offers concentrated rates market exposure, in contrast to DropShot's AI Alpha Fund, launched in 2018, which trades domestic and foreign ETFs of all asset classes.

DropShot deploys strategies that use machine learning techniques to dynamically allocate to various asset classes as market conditions change. Tactical rotation between these markets on an adaptive basis allows the fund to continuously source returns from the most attractively priced assets. This enables us to strive towards our primary goal: To compete with major global benchmarks while delivering broader exposure across markets.

We don't lock up your funds and we offer monthly redemptions/liquidity. In order to give investors their desired level of detail into their investment's trading performance, we offer personalized mobile and web views, in addition to monthly statements.

Markets are more treacherous than ever, but opportunities abound for those able to invest intelligently. DropShot strives to adapt and learn through systematic, data driven trading that guides investors through their financial journeys.

Our terms are simple: Algorithmic, Liquid, Transparent.

Contact:

Chris Kramvis

Chris@dropshotcapital.com

View original content to download multimedia:http://www.prnewswire.com/news-releases/dropshot-capital-management-adds-tactical-fixed-income-to-its-liquid-artificial-intelligence-based-offerings-301223605.html

SOURCE DropShot Capital

Link:
DropShot Capital Management Adds Tactical Fixed Income to Its Liquid, Artificial Intelligence Based Offerings - The Trentonian

Has artificial intelligence revolutionized recruitments? Source: Shutterstock

Though the technology has been around for over a decade now, the adoption of Artificial Intelligence (AI) in employment recruiting expanded rapidly throughout 2020 in response to Covid-19.Due to the pandemic alone, the adoption of new technological behaviors, from video-conferencing to remote working, reached levels that were not expected until 2025 or even 2030.

In fact, a report from The Economist cites research from global consultancy firm McKinsey where they acknowledge that recent data has showed that we have essentially vaulted forward five years in digital adoptions, both in consumer and business behaviors. All in the space of just eight weeks.

The accelerated use of AI and machine learning by recruitment specialists over the past year has added thousands of jobs to the global market, and most importantly become essential prerequisites for enhancing recruiting efforts for companies around the world.

Well, for starters its incredibly precise, accurate and fast. AI has an unparalleled ability to rapidly sift through millions of data points among candidates, enabling recruiters to quickly identify high-potential individuals suited for open roles.

Additionally, AI allows recruiters to tap into a wider talent pool to source potential candidates. This includes scouring through online career boards, social media platforms, and even going through agency databases.

Prior to the pandemic, some large organizations had already adopted digitally-led human resource processes and were using AI for candidate consideration. Multi-national telecommunications company, Vodafone was already using AI to sift through over 100,000 graduates applying for 1,000 jobs.With such a high volume of candidates, the companys HR department recently teamed up with HR software company HireVue to test an AI application that removes human bias from the recruitment process. The system works by extracting as many as 25,000 data points from video interviews.It examines visual and verbal cues from candidates, comparing their word choice, facial movements, body language, and tone to help identify the best ones. Utah-based HireVuus AI system uses previously recorded videos of job applicants, asking them interview questions via their laptops webcam and microphone, and using subsequent movements and answers to base their concluding points.

HireVue has shared that between its inception and September 2019, it had conducted a total of 12 million interviews. Out of these, about 20% were done using AI software. The other 80% were done using a human interviewer on the other end of a video screen. The overall figure has now risen to 19 million, with the same percentage split.

HireVue first started offering AI interviews in 2016. Users of this service include computer chip designer ARM, and travel services firm Sabre.

Another US-based firm, Pymetrics has been using AI software in the initial recruitment processes of a number of multinational companies on their client roster. These include globally-recognized names like McDonalds, JP Morgan Bank, accountancy firm PWC, and food group Kraft Heinz. If AI deems the candidate suitable, a human recruiter will then set up an in-person interview.

A report from 2019 said that the growth in the use of AI will replace 16% of recruitment sector jobs before 2029.

Even global research and advisory firm Gartner predict AI-related job creation will reach two million net-new jobs in the next few years.

The World Economic Forum in its recent report went on to identify data analysts and scientists, AI and machine-learning specialists, big data specialists, and digital marketing and strategy specialists as the top four roles seeing increased demand.

While China and the US are competing for the first position in the AI race, small and big businesses throughout Southeast Asia also have developed some innovative AI solutions, too, but not without some challenges.

Even a McKinsey Global Institute study on AI reveals that those companies that have a clear plan to apply machine intelligence in their business are seeing a significant impact on their business. That same study reported that more than 30% of Southeast Asias biggest companies mentioned terms such as machine learning and AI in their most recent annual reports, compared to only 6% in 2011 illustrating that AI is moving to the forefront of businesses strategies.

According to Vervoe, SMEs can use AI in hiring in three specific parts of the process; sourcing: to find and connect with talent faster; screening: to identify and select the best applicants quickly; interviewing: to schedule interviews and save time.

There are also tools that use AI to improve recruiting results on a small business budget such as Vervoe, SmartRecruiters, ZipRecruiter, Workable, Breezy, and BambooHR.

Dashveenjit Kaur| @DashveenjitK

Dashveen writes for Tech Wire Asia and TechHQ, providing research-based commentary on the exciting world of technology in business. Previously, she reported on the ground of Malaysia's fast-paced political arena and stock market.

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Has artificial intelligence revolutionized recruitment? - Tech Wire Asia

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Researchers have developed a new method to counter emergent mutations of COVID-19 and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining economies.

Using Artificial Intelligence (AI), the research team at the University of Southern California's Viterbi School of Engineering developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy.

According to the researchers, the method is easily adaptable to analyze potential mutations of the virus, ensuring the best possible vaccines are quickly identifiedsolutions that give humans a big advantage over the evolving contagion.

"This AI framework, applied to the specifics of this virus, can provide vaccine candidates within seconds and move them to clinical trials quickly to achieve preventive medical therapies without compromising safety," said researcher Paul Bogdan from the varsity.

"Moreover, this can be adapted to help us stay ahead of the coronavirus as it mutates around the world," Bogdan added, in the study published in the journal Scientific Reports.

When applied to SARS-CoV-2the virus that causes COVID-19the computer model quickly eliminated 95% of the compounds that could've possibly treated the pathogen and pinpointed the best options, the study said.

The AI-assisted method predicted 26 potential vaccines that would work against the coronavirus. From those, the researchers identified the best 11 from which to construct a multi-epitope vaccine, which can attack the spike proteins that the coronavirus uses to bind and penetrate a host cell.

Vaccines target the regionor epitopeof the contagion to disrupt the spike protein, neutralizing the ability of the virus to replicate, the team said. Moreover, the engineers can construct a new multi-epitope vaccine for a new virus in less than a minute and validate its quality within an hour, they added.

By contrast, current processes to control the virus require growing the pathogen in the lab, deactivating it and injecting the virus that caused a disease. The process is time-consuming and takes more than one year; meanwhile, the disease spreads.

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The above article has been published from a wire agency with minimal modifications to the headline and text

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Researchers Develop Artificial Intelligence Based Tool to Tackle Mutant Variants of Coronavirus | The Weather Channel - Articles from The Weather...