Be a Gamechanger, be a Data Scientist
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Be a Gamechanger, be a Data Scientist
- 1. Be a Gamechanger, Be a Data Scientist
- 2. 5 out of 10 jobs haven’t been created yet. To thrive, professionals need to be agile enough to adopt innovation solutions that will solve problems that may not even exist yet.
- 3. By 2050, virtually all industries from banking to manufacturing will be integrating digitised automation and robotics, economists predict. Future of Jobs
- 4. 24.5 million Internet users in Malaysia – which equals to 76.9% of the population Smartphone is the main medium on how Malaysia access the Internet, 89.4% (21.9 milllion peoples)Almost all Malaysian Internet users (96.3%, 23.59 million) use Internet for text communication such as Whatsapp, Facebook Messenger, WeChat etc. 97.3% of Malaysians (23.83 million) have a Facebook account. 46.7% are Instagram users (13.74 million). Malaysia has Highest Percentage (%) of Internet Penetration in ASEAN
- 7. Data Scientist Online Community Manager IOS Developer Social Media Manager Cloud Computing Specialist Big Data Analyst Youtube Content Creators Drone Operators Driverless Car Engineer GRAB Driver 10 JOB TITLES THAT DIDN’T EXIST 10 YEARS AGO
- 8. 10 Professional Jobs Under Threat From Big Data More and more, sophisticated algorithms and machine learning are proving that jobs previously thought to be the sole purview of humans can be done — as well or better — by machines. 1. Healthcare 2. Insurance 3. Architects 4. Journalists 5. Financial industry 6. Teachers 7. Human Resources 8. Marketing and Advertising 9. Lawyers and Paralegals 10.Law Enforcement Source: Forbes, 2016
- 9. What Can Big Data Do? CURE DISEASE AND PREVENT CANCER FEED THE HUNGRY EXPLORE DISTANT PLANETS PREDICT AND RESPOND TO NATURAL AND MAN-MADE DISASTERS PREVENT CRIME MAKE OUR EVERYDAY LIVES EASIER AND MORE CONVENIENT
- 10. Data Scientists are specialists that apply their expertise to make predictions and answer key business questions. Data Engineers build and optimize the systems that allow data scientists and analysts to perform their work. Data Analysts deliver value by taking data, using it to answer questions, and communicating the results to help make decisions.
- 11. What Does It Take To Be A Data Professional?
- 13. “We can't solve problems by using the same kind of thinking we used when we created them.” - Albert Einstein
Notes de l'éditeur
- For those whose training is becoming obsolete, and organizations needing completely new skills in a short amount of time, the transition will be complicated. As the author Alvin Toffler once predicted, the future belongs to those who can unlearn and relearn. History tells us that technology creates more opportunities and jobs. The state of the world might look confusing and worrying, but it is not. Virtual or tangible, automated or humanized, work is changing in many ways, but the fundamentals remain: acquiring skills and doing things that people need.
- If you think the pace of change in the workplace has been fast lately, hold onto your hat. A new report published by Dell Technologies says things are about to get a lot faster. So fast, in fact, that 85 of the jobs that will exist in 2030 haven't even been invented yet, estimates the report, which was authored by the Institute for the Future (IFTF) and a panel of 20 tech, business and academic experts from around the world. "The pace of change will be so rapid that people will learn 'in the moment' using new technologies such as augmented reality and virtual reality. The ability to gain new knowledge will be more valuable than the knowledge itself," Dell Technologies said in a statement. In other words, get ready for a lifetime of skills training and retraining, in real time.
- Source: Data gathered from MCMC (Malaysian Communications and Multimedia Commission), Facebook, Department of Statistics Malaysia, etc. http://iamk.com.my/articles/2018/01/12/internet-usage-statistics-in-malaysia-for-2017/
- For those unaware, the Internet of Things (IoT) refers to ‘smart’ objects – anything from car, to home appliances – that can connect to a network to pass and receive data. Essentially, a device that links the physical and digital worlds. Although IoT has been around for many years, with some evidence of it as early as 1832, it would have been unheard of by anyone other than high level technology folk until recent years. According to Cisco Internet Business Solutions Group (IBSG), the IoT was born in-between 2008 and 2009 at simply the point in time when more “things or objects” were connected to the Internet than people. Since then, innovation has shifted even further, moving beyond traditional connected devices to pretty much anything with a power supply. Nowadays, IoT is a widely used phrase that you’re likely to have heard or spoke about at some point or another. This popularity hasn’t gone unnoticed and other industries want a piece of the pie. Manufacturers have created their own version of IoT, Industrial Internet of Things (IIoT), which is commonly used to monitor production processes and capture data for quality control and management. A recent research report by Navigant found that IIoT devices, software and services are expected to exceed $1 trillion by 2027. While it’s clear that more companies are adopting IoT and IIoT competencies to service a competitive advantage, many are still unaware of how to harness the potential connected devices can offer ― not to mention concerns around security and data breaches. If we fail to make the most of the benefits the technology offers, there is a growing risk that traction will be halted.
- What Is Digital Disruption? Digital disruption is a transformation that is caused by emerging digital technologies and business models. These innovative new technologies and models can impact the value of existing products and services offered in the industry. This is why the term ‘disruption’ is used, as the emergence of these new digital products/services/businesses disrupts the current market and causes the need for re-evaluation. An Example of Digital Disruption: Kodak Cameras Fail To Capture Future Markets Kodak were one of the first to introduce cameras to the mainstream market. They monopolised the markets for the majority of the 20th century, but unfortunately failed to keep up with the changing identities of their customers and the changing needs and expectations that came along with them. Digital cameras made the move from being a just piece of photographic equipment to being a much more life-friendly, fun gadget. And where as Kodak originally had their target consumer pegged as female, the male digital camera market opened up thanks to the ‘gadget’ culture. Some clever marketing from other digital technology brands led to changes in consumer perceptions and created a new ‘need’ for photographic gadgets. This allowed brands such as Sony and Canon to swoop in and steal the hearts of the consumers with their new technologies and approaches, while Kodak stuck to their guns and fought the change for as long as they could. Despite rapidly losing market share, they refused to succumb to the inevitable force of digital disruption and in 2012 they eventually declared bankruptcy.
- In 2006, Facebook was in its infancy, Twitter was being launched, and nobody had iPhones. Over ten years on, the world is a very different place, and so is the workplace. Jobs exist now that we’d never heard of a decade ago. One estimate suggests that 65% of children entering primary school today will ultimately end up working in completely new job types that aren’t on our radar yet. This pace of change is only going to get faster thanks to rapid advances in the fields of robotics, driverless transport, artificial intelligence, biotechnology, advanced materials and genomics, according to the World Economic Forum’s latest annual Human Capital Index. Big data analyst/data scientist With volumes of data growing at a rate of 40% per year, it’s no wonder that people who can analyse and process all this information are in high demand. App developer The iPhone arrived in 2007 and the Android shortly after, and now nearly half the world’s adults have a smartphone. This has generated a huge appetite for apps: in July 2015, Android’s Google Play and Apple’s App Store had 1.6 million and 1.5 million apps respectively. As a result, there is a booming market for app developers. Social media manager Back in 2006, there was no need for social media managers as most platforms had yet to be created. Today Facebook has more than 2.2 billion monthly active users worldwide and, alongside other platforms such as Twitter and Instagram, has become an indispensable marketing tool with which brands can engage with consumers. In 2018, the number of Facebook users in Malaysia is expected to reach 12.75 million, up from 11.9 million in 2017. Uber driver The app-based ride-hailing company was only founded in 2009, but has already grown to become the world’s most valuable start-up at $62 billion. In 2015, Uber doubled the number of active drivers on its US platform, and the company is announcing new services in cities around the globe. However, it seems that in the not-too-distant future the Uber driver may become a thing of the past – the company is eyeing up self-driving cars. Driverless car engineer While driverless cars look set to wipe out the roles of taxi drivers and couriers, they are also beginning to create some new jobs as well. Driverless cars won’t be able to mend themselves, so engineers, mechanics and software developers who work on vehicles will be increasingly in demand in the not-too-distant future.
- When news stories come out about the imminent takeover of robots and algorithms that will eliminate jobs for human workers, many times the first examples given are blue-collar jobs like factory workers and taxi drivers. And you may have mentally congratulated yourself because your “professional” job is safe from the threat of being outsourced to computers. But don’t feel so safe just yet. More and more, sophisticated algorithms and machine learning are proving that jobs previously thought to be the sole purview of humans can be done — as well or better — by machines. Boston Consulting Group has predicted that by 2025 as much as a quarter of jobs currently available will be replaced by either smart software or robots. A study out of Oxford University also suggested that as much as 35 percent of existing jobs in the U.K. could be at risk of automation inside the next 20 years. Automation, which includes both mechanized robots (whether humanoid or drone-shaped) and artificially intelligent software programs, are predicted to eliminate 6% of the jobs in the U.S. in the next five years. And it’s not just low-wage employees that need to be worried. Highly skilled, knowledge-based employees in some sectors, including legal and accounting, could see their jobs decimated in the next decade. Deloitte estimates that 39% of jobs in the legal sector could be automated in the next 10 years. Separate research has concluded that accountants have a 95% chance of losing their jobs to automation in the future.
- Right now, Big Data projects are helping to: Cure disease and prevent cancer – Data-driven medicine involves analyzing vast numbers of medical records and images for patterns which can help spot disease early and develop new medicines. Feed the hungry – Agriculture is being revolutionized by data which can be used to maximize crop yields, minimize the amount of pollutants released into the ecosystem and optimize the use of machines and equipment Explore distant planets – NASA analyzes millions of data points and uses them to model every eventuality to land its Rovers on the surface of Mars and plan future missions. Predict and respond to natural and man-made disasters – Sensor data can be analyzed to predict where earthquakes are likely to strike next, and patterns of human behavior give clues which help aid organizations give relief to survivors. Big Data technology is also used to monitor and safeguard the flow of refugees away from war zones around the world. Prevent crime – Police forces are increasingly adopting data-driven strategies based on their own intelligence and public data sets in order to deploy resources more efficiently and act as a deterrent where one is needed. Make our everyday lives easier and more convenient – Shopping online, crowdsourcing a ride or a place to stay on holiday, choosing the best time to book flights and deciding what movie to watch next are all easier thanks to Big Data.
- What is a data engineer? Data engineers build and optimize the systems that allow data scientists and analysts to perform their work. Every company depends on its data to be accurate and accessible to individuals who need to work with it. The data engineer ensures that any data is properly received, transformed, stored, and made acessible to other users. What is a data analyst? Data Analysts deliver value to their companies by taking data, using it to answer questions, and communicating the results to help make business decisions. What is a data scientist? A data scientist is a specialist that applies their expertise in statistics and building machine learning models to make predictions and answer key business questions. A data scientist still needs to be able to clean, analyze, and visualize data, just like a data analyst. However, a data scientist will have more depth and expertise in these skills, and will also be able to train and optimize machine learning models.
- Since 2000 digital disruption has demolished 52% of the Fortune 500, with tech disrupting many industries such as music, publishing and retail. There are many cases already of established players who failed to ignore customer demands and reacted too slowly. Remember Blockbuster? We now have Netflix. Other examples abound: Companies like Amazon, Volkswagen and McDonalds are all at the top of their game through fostering and leveraging innovative, even disruptive, supply chains built around strategic relationships and mutual trust In four years, Airbnb has completely disrupted the hotel industry and today has more than 100 million users Robotic process automation helped an international insurer cut down reporting times from 90 to 12 minutes, with 100% accuracy Electric carmaker Tesla, which produces a fraction of vehicles compared with major US automakers, has achieved a higher market capitalisation than any — based on its prospects, not profits. It uses personalized digital marketing, as opposed to a dealer network, to drive sales.
- What Is Learnability Anyway And Why Should You Care? Learnability – or the desire and capability to develop in-demand skills to be employable for the long-term – is fueled by an individual's eagerness to learn and capacity to change based on acquiring and acting on new learnings. Some of us are born with it, some of us acquire it, and all of us are capable of it. To find success on our terms and live a rewarding life requires learnability. Without it, we risk becoming obsolete and losing our way in our fast-paced, changing world. In the business world 4.0 the need for new skills grows as fast as the need for others decreases. According to a study by ManpowerGroup, employers believe that 65% of people born after 1995 will be employed in jobs that don’t even exist yet, and up to 45 % of people's activities can be automated. This doesn’t necessarily mean that there will be less jobs, rather there will be new jobs requiring different skills. In such a world, curiosity and learnability are required of the employee of the future to be able to adapt to new business conditions. The so-called learnability, which means the willingness and ability to learn and adapt new skills during working life, will become the key to success for both employees and entrepreneurs. The following four steps are recommended to incorporate learnability successfully: Look beyond the curriculum vitae: the skills that students are taught in university are not necessarily the ones they need on the job market today. Recruiters should look for candidates and employees that show enthusiasm and thirst for knowledge. Choose carefully: the best further education options should be reserved for employees who have proven their ability to learn fast and are highly motivated. Give it time: if you want to establish a habit of learning, you have to create a space where the mind is challenged - for example by looking at a business case from an unusual angle. Motivate learners: you can reward employees who initiate actions to promote learnability. Such actions are, for example, inviting external speakers or organizing discussion groups. The best employees want to expand their competencies, says Swan: “Give them the opportunity to challenge themselves”. From an individual standpoint, learnability is enhanced when you: Find areas of interest. Go long, go broad, go differently. Stretch yourself. Convert your coffee habit into a learning habit. Learn that one thing you have been putting off Find a friend/ buddy/ partner to learn with, sharing the investment and the community of learning. Make it social. Online learning communities abound. Reward yourself. Seek increased pay or monetary rewards if it’s a vocation as much as an exploration. Nurture yourself through new knowledge, new skills and the accomplishment of positive change.