1) Which of the following is the largest number of jobs that could theoretically be within the software industry at present, based on the

information available?

-2 million

-3 million

-7 million

-5 million

-10 million

2) what timescale is the title of the graph in Data source 4 most likely to be referring to when it says 'Future?

-2070

-2045

-2030

-2027

-2020

3) How does Data Source 2 most strongly show its point of view?

- Reference experts

- The choice of title

- Choice of timeframes discussed

- Choice of language

- Structure of the article

4) According to Data Source 1, which of the following time periods will have the largest annual average increase in the percentage of jobs that

could be fully automated? (Note: Assume the current year is 2020.)

- 2020-2025

- 2028-2030

- 2030-2035

- 2030-2050

- 2040-2050

5) How does the average Transport & Storage annual salary compare with that of the UK as a whole?

- Transport & Storage between 2,000 and 4,000 less than average

- Transport & Storage between 4,000 and 6,000 less than average

- Transport & Storage between 6,000 and 8,000 less than average

- Transport & Storage between 8,000 and 10,000 less than average

- Transport & Storage between 10,000 and 12,000 less than average

6) If all positions were paid equally, how much would the UK spend on wages for unpredictable physical work per month?

- 1.6 billion

- 8.1 billion

- 16.9 billion

- 81 billion

- 85 billion

7) What is the ratio of total jobs at risk in Waste Management to those at risk in Manufacturing?

- 4.8:5.76

- 8:12

- 41:35

- 60:48

- 6:5

7) If all positions were paid equally, how much would the UK spend on wages for data processing in a year?

- 1.3 billion

- 2.65 billion

- 125 billion

- 130 billion

- 145 billion

Preparing for Automation Posted " Preparing for Automation Posted July 20th 2020 The possibility of having robots or mechanical assistants completing our laborious, dangerous, or repetitive dayetoeday tasks has long been a dream of humanity. Now, as Robotic Process Automation (RPA) becomes commonplace. this dream or concern, depending on viewpoint - is getting closer. RPA, far from the walking. talking android commonly found in science fiction series, can be thought of as a programmable piece of software which, through using a series of rules, will complete repetitive tasks with a lower error rate and less interruption than a human completing the same tasks. The aim of RPA, beyond improving efciency, is to free up humans from the monotony of roles iike data entry. stock management and predictable physical work. to focus on more critical. unpredictable tasks such as decision making interpreting. and delivering insight to customers. Ask any expert and you can almost guarantee that they will inform you that years ofdata reliably point to the conclusion that automation has always created more jobs than it has removed. The invention of the plough has allowed us to stop working on farms and technology has continued in this fashion, boosting productivity and, in turn. providing greater work satisfaction and improved living standards. It is currently estimated that 3% of roles could be entirety automated using the technology we have available to us now. By 2025 this will have risen to around 30%. by 2030 it will be at 50% and by 2050 scientists are predicting advanced artificial intelligence (Al) technologies will have replaced 85% of current jobs. A more astonishing figure is the 42% of roles which could be made more efcient, more productive. and more enjoyable through automating individual tasks within the wider role. This is not spread evenly across industries, however certain industries like Waste Management, an industry with a 40 billion salary bill in the UK, where many humans are currently paid 'hazard pay to do dangerous but repetitive tasks. is seen as the UK industry with the highest potential for automation. Other industries with hazard pay are the Transport & Storage industry. which has an annual salary bill of 65 billion. and the Manufacturing industry, which has an annual salary bill of80 billion. As we begin to enter this Fourth Industrial Revolution. it is becoming apparent that there is a separation of organisations into two clear groups: those who are using basic digitisation to support their business. and those who have re examined the way they do business and integrated combinations of technologies. including RPA, to great effect. 50, should we run for the hills or turn and embrace RPA? The answer is not clear but. looking at those who have benetted from this technology already, preparation for automation will be key. "By 2080 scientists are predicting advanced articial intelligence (AU technoiogies will have repiaced 85% of current jobs" The Human Element Posted onjuly 18th, 2020 | 0 comments The rise of automation has been hailed as the solution to all of society's ills by the tech elite. By removing the \"human element from the job, the thinking goes, we can produce more, faster, better and cheaper The problem with this is that the 'human element' here is, well, human. By removing people from these roles, we are looking at creating deemployment on a massive scale. There is little we can do to stop the advance of this technology and it is all coming at too quick a pace for regulators to account for. We already see evidence ofa lack of opportunity to work in our society. People working in the UK are now working for an average of 20.3 hours a week when holidays are taken into account They are earning on average 503 a week. The UK currently has an unemployment rate of 4.7% with 1,530,000 people currently unemployed. Tech analysts are predicting that we will lose 25% of currentjobs in the next 6 or 7 years. Population increases year on year of 0.8% will further compound this issue. All of this leads one to ask, what wiEl people do for work in an automated future? So, what will a postautomation society look like? By separating capital generation completely from labour, we are set to embark on an age of mass unemployment, the likes of which we have never seen. Mass unemployment is likely to create large proportions of our society without a productive outlet or sense of identity, as well as widening the gap between rich and poor. This future could be a very bleak one indeed. People working In the UK. are now '-.Morking for an aye-rage of 203 hours a week when holidays are ta ken into account Will be lost In the to .7 years Robotic Process Automation - Where does it fit in? Automated Processing Text Generation and Learning Higher-Level Thinking Robotic Process Automation (RPA) Natural Language Generation (NLG) Intelligent 'Chat-Bots' Used for rules-based, simple, repetitive processes Used for converting data into natural Automates interactions online language text Encourages: Encourages: . Faster handling time Used in: . Learning from individual customers . Higher volumes . Generating form letters and creating stories based on data Used in: . Reduced errors and costs . Retail Unstructured Data Conversion Machine Learning Intelligent Assistance Asks questions to find patterns in data and Learns from cause and effect analysis Learns from stimuli as new scenarios are converts the unstructured into structured presented Encourages: Encourages: . Forecasting Encourages: . Greater data mining . Decision making . Additional consultation . Work with unusual forms of data Used in: Used in: Used in: . Financial forecasting . Medical diagnosis . Converting emails, contracts and receipts into structured dataLikelihood of industries becoming automated in the future Proportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation. 60% 55% Transportation and Storage 50% Series Value 45% Proportion of Jobs at Risk of Full Automation 52% 40% Employment Share of Total Jobs 9% 35% 30% 25% 20% 15% 10% 5% 0% Other Waste Management Transportation and Manufacturing Retail Administration Finance and Insurance Electricity and Gas StorageLikelihood of industries becoming automated in the future Proportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation. 60% 55% 50% 45% 40% 35% 30% 25% ...5... 20% 15% 10% 5% 0% Other Waste Management Transportation and Manufacturing Retail Administration Finance and Insurance Electricity and Gas StorageData Processing Technical feasibility of job automation Likelihood of automating job tasks Series Value % of Task which Could be Automated 69% Predictable % of Time Spent on Tasks in all UK Operations 16% Physical Work Data Processing Data Collection Unpredictable Physical Work Stakeholder Interactions Applying Expertise with Clients Managing Others 40% 45% 50% 55% 60% 65% 70% 75% 80% 10% 15% 30% 35% 0% 5% 20% 25%