Digital Trends: The Future

Transcription

1 Digital Trends: The Future Presented by: Melita Francis Friday 1 st September

2 Jan 2017 Global Digital Snapshot Key statistical indicators for the wold s internet, mobile and social media users Total Population Internet Users Active Social Media Users Unique Mobile Users Unique Mobile Users Billion Billion Billion Billion Billion Urbanisation: 54% Penetration: 50% Penetration: 37% Penetration: 66% Penetration: 34% Source: Hootsuite, We are Social

3 Jan 2017 Mobile Connectivity by Region The number of mobile connections compared to population 105% North America 123% West Europe 91% Central America 115% South America 127% Middle East 81% Africa 139% East Europe 99% Central Asia 133% East Europe 100% East Asia 108% Oceania Source: Hootsuite, We are Social Global Average 100%

4 June 2017 Australian Trends On Avg. Twitter users follow 118 accounts 67% prefer to access social media via an app Australians spend 71 hours per person online per month Approximately 86% of Australians 14+ have a smart phone 1.1M businesses on social media. 48% use social daily 46% first up in the AM 24M people 20.1M are online 14.5m Australians online on their phone daily More than 15.7M Australian YouTube users each month. Over 10.4M are streaming over 12hrs 56min monthly per person Individuals have on average 25 apps on their smartphones Over 18.7M Australian s use Google & over 16M use Facebook Source: Nielsen Online Landscape, May June, % of ppl use smartphones to access social media 32.11% of 50+ demo online 23.58% of demo online 17.76% of demo online 11.25% demo online 15.31% 2-17 demo online

5 Brick & Mortar stores are shutting at a record pace Australia s top online retailers according to AC Nielsen 2016 data

6 Trends Internet of Things Robots & AI Freelance Workforce

7 Internet of Things (IoT) 7

8 When connecting the physical world to the internet, everything on our planet becomes:

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10 Internet of Things 10 The Internet of Things is not a futuristic, aspirational technology trend. It s here today in the devices, sensors, infrastructure and business intelligence tools you are already using. INSIGHTS more effective consumer data based insights = smarter investment decisions All this IOT produces big data AUTOMATION smart office & warehouses Automated inventory tracking Speed & productivity

11 The Future ? Each person to be surrounded by 3,000 to 5,000 connected everyday things! The more data collected the more insight

12 Who is doing it already? Rio Tinto Mine robots & driver-less vehicles Vodafone TOBi the artificial intelligence (AI) chatbot.

13 So many devices, so much data. Where does this take us? AI Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already a part of our everyday lives. All those statements are true; it just depends on what flavour of AI you are referring to.

14 AI is not a single type of technology. It takes many forms and encompasses many, many uses. machine learning (MI) deep learning (DL) cognitive analytics (CA) robotics process automation (RPA) bots Collectively, these and other tools constitute machine intelligence!

15 3 KEY Factors Driving the rise in MI for Business Smarter Algorithms MI is steadily creeping towards human thought processes Algorithms 44 zettabytes By 2020 (48 trillion Gigabytes) Processing Power Increased computing ability generates real-time reaction to incoming data streams Computing Data Exponential data growth Companies are generating vast quantities of data, doubling every 12 months

16 The Rise of MI IT Spend ~$2Trillion Decision Support Cognitive 2025 Opportunity IBM estimates that Decision Support will create $2 trillion worth of IT spending by CFO.com estimates 40% of online transactions will be handled via an AI-enabled bot by Data processing of speech and text will enable reason, talk, decisions and learning. ~$1.2Trillion Current Productivity Traditional 2016 IT Spend deeppixel provides AI solutions focused on textbased conversations for businesses in finance, retail and telecom. Source: IBM

17 The Rise of Deep Learning 1950 s 1960 s 1970 s 1980 s 1990 s 2000 s 2010 s Source: nvidia Since an early flush of optimism in the 1950s, smaller subsets of artificial intelligence first machine learning, then deep learning, a subset of machine learning have created ever larger disruptions.

18 Why Should We Care? D. Deloitte s Global CIO survey calls MI to receive 64% of total investments. Retail is being eaten by giants investing in AI Facebook has moved heavily into AI, AR, and VR at the annual F8 conference JP Morgan is using AI to automate finance productivity Telecoms are cutting cost with AI chatbots The Era of Mobile internet investment is over. Baidu is heavily investing in AI All of the Tech Giants heavily investing in machine learning, computer vision, natural language, robotics, and advanced analytics.

19 Why Should We Care? Companies like Google, Baidu, IBM, Facebook, Uber and Amazon compete to be on the forefront of the AI revolution. But if your focus is not on technology, it is almost impossible to compete with these giants. The question becomes: how do I stay competitive?

20 How Companies Around the World Use AI

21 51% of AI leaders predict that by 2020, AI will have its biggest impact on their back office functions - IT, HR, Finance and Accounting. AI technology will free up employees time to focus on deeper work rather than focusing on automatable tasks like password resets and company policy related questions. 21

22 How are Businesses benefiting from MI today? Brands/Retail Telecoms Banking Organizational Order placement Transaction Lookup Order Tracking Brand Questions Cashless Payment Marketing Campaigns Account Balance Transaction Lookup Budget Reminders Fraud Notifications P2P Payments Marketing Campaigns Staff Communications Product Answer Bots IT Process Workflows Employee FAQs Staff Training Password Resets Server/Laptop Deployments

23 MI can improve the customer experience, augment performance, automate work processes and action repetitive business processes. JPMorgan Software Does in Seconds What Took Lawyers 360,000 hours Program is called COIN = Contract Intelligence, interprets commercial-loan agreements

24 Technology, IOT, Data, MI: How will the digital evolution impact our job skills?

25 Jobs less likely to be affected by MI Nurses Specialist Counsellors Psychologists Teachers Customer Sales Reps Nannies

26 Impacts on Job Skills MI Information Systems Repetitive and scripted job replacements Freelance Workforce More transactional project orientated jobs Robots by 2020 AI systems and machines, Robotics, Nanotechnology Increase in freelance workforce The WEF forum notes - humans will retain relatively good potential for upskilling, redeployment and productivity enhancements through technology rather than substitution.

27 Emergence of Freelance Workforce 53 million American freelance workers 4.1 million Australians freelancing = $51b economy Mastering new ways of working will be key to a person s employability! Is the traditional workspace dying?

28 One Third of all Australians prefer Freelance Work Airtasker Freelancer Upwork odesk Elance 99 Designs Guru PeoplePerHr Fiverr

29 Freelance Workforce Advantages Flexibility Higher income within the first year You keep all the profits Aspirational career path Control over jobs and clients You re the boss Disadvantages Hours Start-up phase Non-steady workflows Strong work ethic personal time vs work time Not getting paid on time No employer benefits In the next economy, work may be more lucrative and fulfilling, but the idea that you'll be professionally rewarded because you've been loyal to a company will be a thing of the past.

30 Impacts on job skills - Freelance Workforce New strains on our public fiscal system that s centred around fixed employment By 2040, more jobs will be many part -time assignments, decreasing job security Small business growth will lead to a boost in wages More recruiters looking for a standard worker Everyone is responsible for their own success To be successful, individuals will have to be more entrepreneurial in thinking and planning, constantly selling their services, defining one s own work and educating themselves for future assignments.

31 Data Scientist Big Data Engineer Data Analyst Business Analyst Jobs in Demand Data Security Technician Technology Consultant UX Designer Security Network Engineer Web Developer Chief Technical Officer Chief Digital Officer Future Digital Jobs 1. Digital Detox Therapist 2. Crowd funding specialist 3. Productivity Counsellor 4. Urban Shepherd 5. Vicarious Videographer 6. Quantified-Self Personal Trainer 7. Cultural Intelligence Agent UI Designer Cyber Security Officer Change Analyst Lead Program Architect Intelligence Analyst

32 Thank you! Connect with me via: Facebook: Melita Digital LinkedIn: Web: