Is your workforce prepared for Artificial Intelligence?

Jasper Cooper

25 May 2017    |    read

Ikea recently announced its intention to explore Artificial Intelligence (AI) through a customer survey ‘Do you speak human?’. It’s a novel idea for a company that makes a living selling flat pack furniture, however, they are right on the money. AI has grown dramatically over the last few years, and it’s expected that the market will be worth $5.05 billion by 2020. Stunts like Ikea’s provide an intriguing insight into the expectations society holds for AI technology. However, building an intelligence system capable of matching the capabilities of the human brain is no easy feat. While the creation of such technology is a celebration in itself, what’s really impressive are the real world applications that are only just starting to appear. Imagine having a system that can not only synthesise data faster than a human, but can make better inferences, predictions, and decisions. This has the potential to revolutionise how we live, work, and interact with each other. But what will this technology look like in the space we spend 50% of our day, the workplace? According to a survey conducted by Narrative Science, 80% of company executives believe that AI solutions boost productivity. Whether this is by automating labour intensive tasks or improving process efficiencies, AI is becoming an effective part of businesses of all shapes and sizes. Workforce management companies like Tanda are heavily investing R&D into the potential of AI technology and the impact that it will have on the workplace. Managing a workforce with all the administrative work that goes along with it is no easy task. It becomes infinitely more difficult when managers lack the experience and necessary information to make complex informed decisions. Using AI technology empowers managers with actionable intelligence to make smarter decisions in rostering, wage calculations, and workforce management. What is the future of Artificial Intelligence in the workplace? Artificial Intelligence can be used in a variety of ways within workforce management technology. Firstly, predictive analytics is where AI is used as a tool to assist the user to make decisions, such as the optimal number of staff for a shift. The next step up is a completely autonomous system, capable of performing tasks independent of a human. Cognitive Rostering® for example, extends on predictive workforce analytics to create an optimised roster automatically, without human user input. So what benefits can we expect by implementing AI technology into our workforce? 1. Make faster decisions Using AI technology to automate your workforce management results in greater efficiency, profitability, and productivity. Rostering is a major pain point for businesses, due the time it takes and the impact of having too many or too little staff rostered. Automating time-consuming tasks such as rostering, assists manages to make faster decisions, and spend more time focusing on priorities. 2. More accurate decisions It’s hard to make the right decision when you don’t have all the information. There are numerous sources of data that could affect making great rosters, such as wage costs, sales data, and staff availabilities. Using Predictive Workforce™ allows managers to pull useful data sources into one system, which leads to more accurate and smarter workforce decisions. For example, you could import foot traffic data into Predictive Workforce™ with customised ratios. This will inform managers of how many staff are needed, and what specific roles are required. Thus, this enabling managers to not exceed their labour cost budgets, while also ensuring that enough staff are rostered to meet customer demand. 3. Competitive market advantage Using AI technology to manage your workforce provides an unparalleled market advantage. According to Narrative Science, “by 2020 predictive analytics will attract 40% of new investment made by enterprises”. In a time when operating and overhead costs continue to increase, AI automation assists businesses owners to improve workforce productivity for future growth. Businesses therefore need to be using predictive analytic technology to manage their workforce today, if they want to stay competitive and ahead of the market tomorrow. AI technology and predictive analytics give you the confidence to make great decisions, and capitalise on new exciting opportunities. Artificial Intelligence may well still be in its infancy, however, it is quickly becoming a necessity for businesses wanting to remain competitive. Using the best workforce management technology leads to faster and more accurate decisions, as well as a competitive advantage within the market. It is therefore vital for key personnel to ensure they are using the best technology to achieve the greatest outcome.

Ikea recently announced its intention to explore Artificial Intelligence (AI) through a customer survey ‘Do you speak human?’. It’s a novel idea for a company that makes a living selling flat pack furniture, however, they are right on the money.

AI has grown dramatically over the last few years, and it’s expected that the market will be worth $5.05 billion by 2020. Stunts like Ikea’s provide an intriguing insight into the expectations society holds for AI technology. However, building an intelligence system capable of matching the capabilities of the human brain is no easy feat.

While the creation of such technology is a celebration in itself, what’s really impressive are the real world applications that are only just starting to appear. Imagine having a system that can not only synthesise data faster than a human, but can make better inferences, predictions, and decisions. This has the potential to revolutionise how we live, work, and interact with each other.

But what will this technology look like in the space we spend 50% of our day, the workplace?

According to a survey conducted by Narrative Science, 80% of company executives believe that AI solutions boost productivity. Whether this is by automating labour intensive tasks or improving process efficiencies, AI is becoming an effective part of businesses of all shapes and sizes.

Workforce management companies like Tanda are heavily investing R&D into the potential of AI technology and the impact that it will have on the workplace. Managing a workforce with all the administrative work that goes along with it is no easy task. It becomes infinitely more difficult when managers lack the experience and necessary information to make complex informed decisions. Using AI technology empowers managers with actionable intelligence to make smarter decisions in rostering, wage calculations, and workforce management.

What is the future of Artificial Intelligence in the workplace?

Artificial Intelligence can be used in a variety of ways within workforce management technology. Firstly, predictive analytics is where AI is used as a tool to assist the user to make decisions, such as the optimal number of staff for a shift. The next step up is a completely autonomous system, capable of performing tasks independent of a human. Cognitive Rostering® for example, extends on predictive workforce analytics to create an optimised roster automatically, without human user input.

So what benefits can we expect by implementing AI technology into our workforce?

1. Make faster decisions

Using AI technology to automate your workforce management results in greater efficiency, profitability, and productivity. Rostering is a major pain point for businesses, due the time it takes and the impact of having too many or too little staff rostered. Automating time-consuming tasks such as rostering, assists manages to make faster decisions, and spend more time focusing on priorities.

2. More accurate decisions

It’s hard to make the right decision when you don’t have all the information. There are numerous sources of data that could affect making great rosters, such as wage costs, sales data, and staff availabilities. Using Predictive Workforce™ allows managers to pull useful data sources into one system, which leads to more accurate and smarter workforce decisions. For example, you could import foot traffic data into Predictive Workforce™ with customised ratios. This will inform managers of how many staff are needed, and what specific roles are required. Thus, this enabling managers to not exceed their labour cost budgets, while also ensuring that enough staff are rostered to meet customer demand.

3. Competitive market advantage

Using AI technology to manage your workforce provides an unparalleled market advantage. According to Narrative Science, “by 2020 predictive analytics will attract 40% of new investment made by enterprises”. In a time when operating and overhead costs continue to increase, AI automation assists businesses owners to improve workforce productivity for future growth. Businesses therefore need to be using predictive analytic technology to manage their workforce today, if they want to stay competitive and ahead of the market tomorrow. AI technology and predictive analytics give you the confidence to make great decisions, and capitalise on new exciting opportunities.

Artificial Intelligence may well still be in its infancy, however, it is quickly becoming a necessity for businesses wanting to remain competitive. Using the best workforce management technology leads to faster and more accurate decisions, as well as a competitive advantage within the market. It is therefore vital for key personnel to ensure they are using the best technology to achieve the greatest outcome.

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Why are we doing this?

We decided to start Tanda (PayAus) because we believe that accurate employee data will become increasingly important for businesses of all sizes in the next 5 years. Not just so businesses can cut costs, but so they can make smarter decisions. The scalability of Tanda makes it possible for the smallest of businesses to monitor costs and HR trends in a powerful and simple way. We’ve been building Tanda with simplicity and scalability at front of mind. We want everyone to be able to use our product and add value to their businesses. We ourselves had the same problems that busy business owners face every day when we came up with the idea for Tanda. Keeping track of staff is a nightmare, it’s time consuming, confusing and it can be very expensive if you get it wrong. We do it because we love seeing the satisfaction of our clients, who can now compete with their larger competitors on technology without the capital or technical expertise. Most of all, we do it because it’s inevitable. We believe that sometime in the next decade, people will look back at paper timesheets and ask themselves how they ever lived without a digital solution and real time data. Only time will tell if that system is Tanda, we’ll do our best to make it so. If you’re ready to move to the future, you can bring us one step closer to achieving our dream by signing up for a free demo.

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Women, the Workforce, and What Tanda Uncovered

Kelsey Stay is a Web Developer and Graphic Designer working at start­up company Cohort Solutions. Cohort Solutions helps international students get their affairs in order while remaining safe upon arrival to Australia. In 2014, she was selected to participate in the Startup Catalyst Tour, that sends 20 young tech entrepreneurs to the headquarters of Facebook, Google and 500StartUps just to name a few. She was one of the competitors in Tanda’s Annual Open Data Hackathon, encouraging young techies and entrepreneurs of Brisbane to aspire and create great ideas. The hackathon  participants uncovered some interesting facts about women in the workforce. She sat down with Meredith McLean from Tanda, to talk about the experience and her thoughts on women in the tech industry.   M: Thanks for sitting down with me for lunch.    Not a problem at all. But I’m currently having what I call Analysis Paralysis. When you have all  these different food options and you have to decide what you’re going to have in a short time.  And you panic because everything looks delicious and freeze up, then can’t make a decision. (Laughs) M: (Laughs) I love it. I’ll have to borrow that one next time I’m out to lunch. So, what got  you interested in the hackathon?   I know Tanda from previous experiences. I went on the Starter Catalyst trip with Alex  Ghiculescu, one of the directors of Tanda, so thats where I met them. Previous to that, when I  was studying at QUT I had met some of the other Tanda guys as well without realising they had all ended up at Tanda. We did another startup weekend a few weeks back, and were all quite keen on hackathons and anything tech we can get our hands onto. It was also that they actually organised it that gave us a chance to just rock up and enjoy the experience. M: Were you surprised when you noticed you were one of only three women  participating in the hackathon?    Not really. I think I did pick up on it. I did look around the room to see if there were many other girls. But its not really surprising. I’m just used to being surrounded by guys basically. (Laughs) M: Do you get that a lot in the office as well? Well our office is pretty good. We’re quite diverse and multicultural. There are a few more guys than girls, but its just because were quite a small office. I’m one of the developers so the other woman is business operations. It’s well balanced. M: Were you surprised by any of the facts that came out from the hackathon? One was  women arrive to work earlier but men will often stay back later. Not particularly, if you look at it you could assume women tend to go home because generally  they are the primary caregivers. Whereas, generally men can stay back because they have  the opportunity to. I fall more into the male category, I rock up sometimes a little bit later  (laughs) but I usually stay back because I don’t have anything else to do. M: What are your opinions on women often being primary caregivers, while working  and still having to go home and take care of other duties?     I think it is changing, and becoming more balanced. It’s just a generational thing and  culturally, at one point the logical conclusion was to have one parent in the home. And  because of the physiological requirements it happened to be the women caring for children.  But now that we don’t have to go along that path anymore its changing. My boyfriend wants to  be the stay at home dad, he wants to be the primary caregiver and I’m happy to go along with  that and i’ll be the person who brings home the bacon. I think its just a cultural shift. M: And what was it like going overseas on the trip and seeing Facebook , Google and all the others?    It was amazing. My favourite point was walking into the Facebook campus and its just wow.  You feel like you’re in disneyland for a techie.  The whole culture over there is completely  different. You dont have to explain what a software developer is. Actually, over there you get  the name engineer. Theres a completely different approach to it.  It was really interesting to  see how they approach the whole tech industry over there compared to here in Brisbane. if I  tell someone I’m a software developer or that I code they might not even have any idea what  that is, and I’ll have to explain what that entails. M: What was it like trying to do the hackathon in 2 hours, with the mad dash to get  something up and running?    It was actually quite funny, because I really like the high pressure environment of hackathons.  When you’re coding for a long time you get in that groove, and the longer you stay in that  groove the longer you can stand long runs of coding. The accomplishment that you feel at the  end knowing that you’ve put in such a big chunk of time and then to see it work is such a good  feeling. But it was funny because on the Friday night I pitched 4 different ideas,.Then we  ended up choosing one that’s pretty much like Tinder for Tanda ­ called TandER. Basically  when you clock in you’d get a selection of 9 faces, and you could choose people with similar  interests that you might like to go to lunch with. Then it would figure out when people are going to lunch and pair you up with that person who has similar interests and availabilities.  Then I woke up the next morning and thought what would be really cool and probably easier  with the dataset we had ­ is automatic roserting. So using the data to instead of getting people  to figure out conditions and make sure everyone’s working enough ­ to just automate rosters  and get better results from the employees. M: I  love the tag Tinder for Tanda. How did you feel at the end of it?   We got an honourable mention, so i guess you could call that second place? We won a free business lunch with Tanda because they’re doing similar things and might want to work with  us. There was also the Spirit of the Weekend award, I didn’t know until the very end during  pitches but there was a high school team there. That was really cool to see they got similar  statistics to the older teams. Which is great for them to confirm their abilities. Then there was  the Best Selfie award. Which I had to apologise to the girl who won it, because the printed  selfie on the shirt she won was actually my idea. So now she’s got this awesome shirt with her  worst selfie ever  that she’s never going to wear anywhere. But it was really cool to see some  of the other StartUp Catalyst people on the winning team. M: Yeah, the winning team Two Weeks Notice was so professional in that pitch. it was  great.     Oh, thats just the way Matthew Brown is. He’s very business oriented and charismatic. He  can really get you excited for whatever it is he’s talking about. M: Maybe not specifically at the hackathon, but have you ever had any reactions when  you say I’m a female coder?     I’ve actually been reading a lot of blog posts lately where people say that they say they’re a female coder and people laugh or don’t take them seriously but luckily I haven’t had that yet. I’ve never had a surprise look or a “Really?” reaction. It’s always been “Oh, thats cool”,  and its really positive and encouraging. M: It’s good to see there are positives coming through now, and the reactions aren’t so  ridiculous.   I’m sure I will encounter it at some stage in my career. But I’ve been really lucky to surround myself with people who are positive and encouraging. M: What future plans do you have for yourself or the business? Well, I’m currently at Cohort Solutions and I really see that succeeding so I’d like to stay there  for a while. I’ve been with them for a while, but eventually I would like to have my own startup  and bring my own ideas and help change the world in my own way.

Industry Insights    |    read

What the hell is happening at 7 Eleven’s head office?

The Australian Senate enquiry into franchise business 7 Eleven’s alleged underpayment of staff has heard that two thirds of stores have been underpaying staff – that’s up to 10,000 people. In a scramble to resolve the issue, 7 Eleven’s management recently wrote to 15,000 former and current staff, encouraging underpaid workers to come forward. Early results have shown the underpayment has been endemic across the group. Where did 7 Eleven go wrong? As the enquiry rolls on, 7 Eleven will likely claim the data was unavailable to have enough oversight into the practices of franchisees. The other side of the argument will claim the 7 Eleven was simply hiding from a tough business conditions, and was happy to underpay staff to get ahead. What’s going to happen to 7 Eleven? The total liability of the losses is still unknown, but 7 Eleven has set up a third-party company “Independent Claims” which will hide the balance sheet liabilities, handle the underpayments and manage the claims. Head office is going to back pay staff directly, and then attempt to recover underpaid amounts from franchise owners. The big questions is how widespread this is across other groups. The fundamental economics of the competitive pricing models in franchise groups will likely come into question as the enquiry rolls on. It wasn’t too long ago that Dominos and Pizza Hut franchisees were up-in-arms about $5 pizzas, claiming it would force them to find cost cuts in other parts of the business. What should 7 Eleven and other franchise groups do? Head offices should review IT systems and get with the times. Franchise models are successful because of the combination of hard-working and well incentivised owners and best-practice scalable business systems. The best franchises are the ones with the best systems. It was this formula which saw the franchising model take the world by storm in the 20th century. Everyone is talking about big-data and the potential to be unlocked in customer data. A better place to start is to get all of the financial and payroll data in once place. Not only does this give full oversight into wages, but also allows head office to focus on optimising labour costs. The most successful franchisees we work with do one thing very well – they correlate their wage cost with their revenue extremely tightly. Only time will be able to tell the outcome of the enquiry. Our guess is this just the start and the recent Fair Work amendment bill will throw some serious fuel on the fire.

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About the author

Jasper Cooper

Working exclusively within the Enterprise sector, Jasper employs his passion for improving workforce efficiency and optimisation, to help organisations of all sizes to invest in their workforce success.

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Industry Insights

Why are we doing this?

We decided to start Tanda (PayAus) because we believe that accurate employee data will become increasingly important for businesses of all sizes in the next 5 years. Not just so businesses can cut costs, but so they can make smarter decisions. The scalability of Tanda makes it possible for the smallest of businesses to monitor […]

Industry Insights

Women, the Workforce, and What Tanda Uncovered

Kelsey Stay is a Web Developer and Graphic Designer working at start­up company Cohort Solutions. Cohort Solutions helps international students get their affairs in order while remaining safe upon arrival to Australia. In 2014, she was selected to participate in the Startup Catalyst Tour, that sends 20 young tech entrepreneurs to the headquarters of Facebook, […]

Industry Insights

What the hell is happening at 7 Eleven’s head office?

The Australian Senate enquiry into franchise business 7 Eleven’s alleged underpayment of staff has heard that two thirds of stores have been underpaying staff – that’s up to 10,000 people. In a scramble to resolve the issue, 7 Eleven’s management recently wrote to 15,000 former and current staff, encouraging underpaid workers to come forward. Early […]

More Resources

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