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June 24, 2019

Embracing automation: How to drive value for your business in 2018

The benefits of automation go far beyond cost savings. From elevated insights to industry disruption, here’s how to truly benefit from this emerging technology.

Alongside flying cars, home-helper robots have long been predicted as a staple of how we’ll live in the future. And with the likes of Amazon Echo and Google Home taking over day-to-day tasks, we’re well on the way to having mechanised butlers. Outside the home, similar technologies are becoming more common in the workplace, generating new opportunities, facilitating cost savings and generally transforming business practices.

Unfortunately, not everyone recognises these opportunities for what they are. A common misconception is that digital automation means robots will replace people and no one will have a job to go to. Similar fears were voiced when computers first became part of our professional lives. But while computers have rendered some roles unnecessary, they have created far more jobs than they ever replaced. The same is predicted of automation.

According to a study by Adobe, only the most mundane tasks will be automated. This will free up human capital to be used on more creative, fulfilling and ultimately strategic duties. Another misconception is that automation is solely about cutting costs, when there are many other benefits to reap.

Industry disruption

“Automation is not about taking out cost – it’s about becoming more competitive,” says Sean Smith, Isentia’s CEO Media Intelligence. “Done right, it can uncover new business models and revenue streams, and improve outcomes with more efficient processes and better-quality products and services.”

For example, Daimler used sensors as part of the Internet of Things (IoT) in its car2go on-demand service. Thanks to these sensors, it could monitor the performance of individual vehicles and analyse data to maximise efficiency. It could also manipulate this user-specific data to offer drivers customized insurance policies, rather than traditional policies based on data from all users. This meant better value for the drivers, and more revenue for Daimler.

This is just one example of how automation can disrupt traditional models to provide a competitive edge in the market. And if your competitors are doing it and you aren’t, you’ll likely be left eating their dust.

“Automation creates opportunities for deeper insights and analysis,” says Smith. However, to really reap rewards, you need to consider the bigger picture. Daimler wouldn’t have thought of adding personalised insurance if it was solely focused on getting car2go up and running. Instead, it looked further ahead, saw the potential for creative collaboration with adjacent industries, and found some easy wins using the same system. As Smith says: “It’s an investment that requires vision beyond year one.”

How to get the most from automation

So how do you embrace this brave new world? The first step is to fully audit your business and find the low-hanging fruit where automation can drive the biggest impact. Cincom, a provider of enterprise software, audited its content as part of its behavior-based content marketing campaign. It also tracked its users, gained a clearer picture of them using progressive profiling (asking them their company name and size, and requesting more information with each subsequent website visit) and tagged its content to see who was reading what. Once Cincom had built a detailed picture of its audience, it was able to market to them more effectively.

The result? An average of 18 new sales leads every week. Most importantly, it achieved this without overhauling how its business functioned. It didn’t change what it did; it was just able to execute it better.

Upskilling and educating staff

The final piece of the puzzle is your most valuable asset: the people who work for you. It’s imperative you assuage any fears of robots “stealing” their jobs, and steer the conversation towards a more positive outlook. Emphasise what automation can do for the company, and for their careers. Explain how it will mean fewer mundane tasks for them, and more creative, strategic work instead. Consult with them to identify where their skills would be best utilised and focus on making the most of them – for their benefit as well as the organisation’s.

Automation is just one emerging technology with the power to transform your business and the working lives of both you and your colleagues.

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The immediate challenge is not killer robots, its job replacement. If individuals are automated out of jobs, the future for society is bleak.

Computers can already take orders, fold clothes and even drive cars, but where to from here?

The robots are coming. Although often spoken of in future tense, the truth is machine learning is well and truly here. Without realising, consumers interact with ‘smart’ technology at almost every touch point; from robotic vacuums to facial recognition technology, artificial intelligence (AI) is helping to complete tasks faster, cheaper and – sometimes - more effectively than ever before.

In an economy that’s driven by speed and efficiency, it should come as no surprise that a computer’s ability to communicate at a trillion bits per second is favoured above the human capability of about 10 bits.

McKinsey recently reported that 40 per cent of work tasks can be automated using existing technology, prompting everyone from factory workers to lawyers and accountants to consider the threat of being replaced by robots as not just inevitable, but imminent.

For technologists, we are witnessing first-hand how this emerging field is transforming the companies we work for.

In my work at Isentia, we use machine learning to process seven million news items each day. Not long ago this was a task relegated performed solely by humans with the mind-numbing task of flipping through newspapers in search of stories that might relate to a client.

We have a duty to empower those around us to learn everything they can about what their job may evolve into in order to become the very best man-machine partner possible.

Today, machines trawl video, audio and digital content across over 5,500 new sites at a rate of 234 stories per second and present meaningful summaries to clients in real-time.

Whether a story breaks on Twitter and then spills across news platforms and onto television and radio, machine learning can track and analyse how a story evolves with 99 per cent accuracy.

While AI is revolutionising the way that we work, the impact is far greater for those in the tech industry. In our mission to develop software that can learn complex problems without needing to be taught how, the success of the AI industry ultimately comes down to technology professionals: our ability to automate, and the pace at which we expand the field of machine learning.

With an annual growth rate of 19.7 per cent percent (predicted to be worth $15.3 billion by 2019), it’s safe to say our foot is well and truly on the pedal. While this relies greatly on our technical capabilities, it is something that challenges many of us ethically: what set of values should AI be aligned with?

Two of the greatest technologists of our times, Elon Musk and Stephen Hawking, have spoken about both the potential benefit and the harm that an AI arms race could deliver. An eradication of disease is not unfathomable, but nor is a threat to humanity. They hold grave concerns as to whether or not robots can be controlled against misuse or malfunction.

While thought provoking, the immediate challenge is not killer robots, it’s job replacement. Employment may not seem like an ethical problem, but if individuals are automated out of jobs, the future for society is bleak. While the phrase ‘Thank God it’s Friday’ has forged its way into the 9-to-5 vernacular, for most people, jobs create a huge sense of personal and professional satisfaction… not to mention a means to pay bills.

An apocalypse might be somewhat melodramatic, however I do agree that it is important to consider just how closely we should merge biological and digital intelligence.

Computers can already take orders, fold clothes and even drive cars, but where to from here? It’s both exciting and terrifying. The last time we experienced a revolution like this was in the early 1900s when cars, telephones and the airplane all emerged at once.

Contrary to the hype, there lies an enormous opportunity for humans to work with artificial intelligence, not be replaced by it.

Make no mistake: at some level every job can be carried out by a robot. But there are certain jobs, particularly in technology, that require decision making, planning or coding software.

While computers do a brilliant job of executing well-defined activities - such as telling us the fastest route to get from home to work - it is safe to say that humans are an essential component of goal setting, interpreting results, humour, sarcasm and implementing common sense checks.

The most difficult jobs to automate are those that involve managing and developing people. While in this industry most of our jobs are safe (for now), we should heed the advice of Musk and Hawkings and protect those outside our field by proceeding with caution. How then to facilitate human and robots working together harmoniously without the workforce morphing into cyborgs? The secret is to not sail out farther we can row back.

As technologists, we also have a duty to empower those around us to learn everything they can about what their job may evolve into in order to become the very best man-machine partner possible. It's the best, and most ethical, way to prepare for the inevitable advent of AI.

First publish in CIO New Zealand

Andrea Walsh, CIO

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Blog
It’s time to slow down the AI arms race

Computers can already take orders, fold clothes and even drive cars, but where to from here?

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The Australian public’s reaction to government reforms and leaders was especially eventful. Debates about campus safety by the Royal Commission, a tax deal between Labor and the Greens unsettling the finance and property sectors, and a speech on “monoculture” by Pauline Hanson shifting opinion polls in an unexpected way; were three complex stories that saw audiences taking different sides, leading to many perspectives and angles.

We used Isentia's Lumina to track the different viewpoints, key people, and stories with the largest volume and audience. Over four weeks (22 June to 17 July), we found 62 unique perspectives and nearly 900 media items across these three stories.

Key Stories, Key Drivers

Here’s a quick overview:

▸  Campus Antisemitism at the Royal Commission — Pro-Palestinian groups, Jewish advocacy groups, and the federal government each put a different framing on the same hearings. Key drivers: Nasser Mashni, Yasmine Johnson, the Australian Union of Jewish Students, Jason Clare, TEQSA.

▸  The Labor–Greens Tax Deal — Government and Greens call it fairness for first-home buyers; finance and business groups call it policy on the run. Key drivers: Jim Chalmers, Nick McKim, the Self-Managed Super Fund Association, the Australian Chamber of Commerce and Industry.

▸  Pauline Hanson's Monoculture Speech — A push for cultural unity that critics called divisive, followed by a real slide in the polls. Key drivers: Pauline Hanson, Paul Hogan, Murray Watt, Newspoll, Redbridge.

The Royal Commission on campus anti-semitism

The Royal Commission on Antisemitism and Social Cohesion’s hearings on university campuses was the biggest story by far. In less than a week, it drew 33 perspectives and 453 media items, reaching over 628k audiences. The story’s size came from the many institutions involved—student groups, representative bodies, and the federal government—each offering their own view on the same testimony.

Pro-Palestinian advocacy groups had the widest reach, making up about a third of all coverage. Spokespeople like Yasmine Johnson from Students for Palestine and Nasser Mashni from the Australia Palestine Advocacy Network told the commission their campus protests are a legitimate justice movement. They also raised concerns that criticism of government policy is being confused with antisemitism, which they say limits open debate.

Jewish student and staff groups also received significant coverage, making up about a fifth of the total. The Australian Union of Jewish Students described campuses where some students feel hesitant to attend and highlighted gaps in how universities handle complaints and support those affected. Most of this coverage came from wire services and was widely shared across news outlets like The Australian or the Midwest Times.

The federal government provided a third perspective, with similar coverage. Education Minister Jason Clare said universities had been slow to act and announced plans to tighten governance standards. This includes clearer anti-racism policies covering both antisemitism and Islamophobia. Reports also noted that TEQSA, the regulator, warned universities about outside groups joining campus protests, and the government’s antisemitism envoy suggested universities could face funding cuts if they do not do enough.

The Labor-Greens Tax Deal

The second-biggest story was more focused but still managed to stir strong reactions. Labor’s deal with the Greens to close a borrowing loophole for self-managed super funds, in return for Greens support on capital gains tax and negative gearing changes, led to 22 perspectives and 232 media items, reaching nearly 177k audiences.

The government, supported by the Greens, presented the deal simply — it closed a loophole that allowed wealthy investors to use their super funds to compete with first-home buyers at auctions. Treasurer Jim Chalmers cited a 2014 recommendation to support the change, and Greens treasury spokesman Nick McKim called it a win against "wealthy property investors."

The Greens, however, took a tougher stance and received similar coverage for saying the deal was only a partial win. They argued that allowing existing arrangements to continue would let Labour protect wealthy investors rather than renters, and said the housing crisis would now be "squarely of Labor's design." This shows that support from a governing partner does not always mean they are satisfied, as Country News highlighted.

Finance and business groups pushed back with nearly as much coverage. The Self-Managed Super Fund Association and the Australian Finance Industry Association said the borrowing rules did not pose a systemic risk and argued that regulators should focus on "aggressive marketing" and property spruiking, not legitimate investors. The Australian Chamber of Commerce and Industry warned that the wider capital gains tax changes could hurt business investment. ABC News gave the most detailed account of this perspective, noting the sector was "surprised" by how the deal was made.

Pauline Hanson’s monoculture speech

This story had the fewest perspectives (just seven) but still reached nearly 236k people through 210 media items. That’s a bigger audience than the tax story, which had three times as many viewpoints.

The story began when Pauline Hanson used a National Press Club speech to argue that Australia should replace multiculturalism with a single "monoculture." She cited Paul Hogan and the Socceroos as examples. The backlash was quick and unexpected and Hogan himself called her a "pelican" and said her views were racist. His response ended up shaping the story more than her monoculture speech.

What makes this story notable is what happened afterward. Two polls, Newspoll and Redbridge, showed One Nation’s primary vote dropping by about two points (Dairy News Australia) and Hanson’s personal approval falling ten points into negative territory. Labor regained a narrow lead and Labor minister Murray Watt quickly described the numbers as a "reality check,". This framing spread almost as widely as the original speech, as the Bendigo Advertiser reported.

The speech and the poll results are really one story seen from three sides — Hanson’s message, her critics’ reactions, and Labor’s use of the polling. Each angle received similar coverage, showing that the speech missed its mark and gave the government a useful talking point.

How does this inform PR & Comms Strategy?

First, the number of perspectives in a story is important. A story with many viewpoints, like the antisemitism hearings, needs a different monitoring approach than one with just a few, because the loudest voices might not always be the most important.

Second, pay attention when several perspectives are about the same size, as in the tax deal. If no single viewpoint stands out, the issue is likely still being debated. It’s a good idea to check back after some time instead of treating the first coverage as the final answer.

Third, compare any polarising message to the Hanson example before recommending it to a client. The numbers show that a divisive message can get attention but still turn public opinion against the speaker.

Conclusion

What links these stories is how much is lost when they are reduced to just two sides. The antisemitism hearings, the tax deal, and Hanson’s polling drop were all more complex than their main headlines suggested.

That’s why it’s valuable to track a story by its different perspectives and key drivers. See what Lumina can reveal for your industry or clients, and check out more analysis like this on the Isentia blog. 

​

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Blog
Who really shaped Australia’s latest social cohesion debates?

See how Isentia’s Lumina tracked 62 perspectives across 3 major Australian stories, revealing how media coverage really spreads and who ends up controlling the narrative.

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There is a new frontier where public perception is shaped: Large Language Models. Right now, LLMs are answering critical questions about your organisation. What are they saying? And more importantly, which sources are shaping those answers?

To navigate this landscape, public relations professionals don't need generic tools, but rather technology that speaks their language, and addresses the realities of a changed media and informational landscape.

That is why we're unveiling Lumina AI View, the latest addition to our intelligent suite of AI tools from Isentia. Trained specifically on the workflows and challenges of modern PR & communications, Lumina AI View helps you understand exactly what AI knows about you, and how it learned it.

A new standard for AI visibility

AI View tracks your citation strength and source quality alongside those of your competitors, giving you a clear view of where you hold authority and where you have gaps.

Lumina AI View maps your AI reputation from the ground up, allowing you to:

  • See which sources matter: When tools such as ChatGPT or Gemini discuss your organisation, which outlets do they cite? Track your source footprint over time and view the impact of key target media on how you’re discussed. We measure your citation strength and source quality alongside those of competitors, giving you a clear view of where you have authority and where you have gaps.
  • Gain industry-specific insight: Your competitors get cited from Financial Times and Bloomberg. You get cited on Reddit. Each brings opportunity – and risk. Discover how you measure up against industry standards, and target the sources that actually influence how AI represents you.
  • Catch narrative shifts early: AI responses change when new sources appear, sentiment shifts, or old controversies resurface. Get alerts when citation patterns change suddenly, before they impact the way you’re perceived by stakeholders.

Measure your progress: From media monitoring to full media intelligence

Lumina AI View is built on the principle that insights get stronger with repeated measurement. To help you maintain a clear view of your reputation, our proprietary scoring system provides regular updates that show you:

  • Evolving trends in how sources cite your organisation
  • Competitive standing and benchmark metrics
  • Where models differ in information presented, and sources cited 

Whether you run it weekly, on-demand, or whenever you need a check-in, patterns will emerge, trends will become clear, and you will build a baseline that makes any sudden narrative changes both comprehensible and the prerequisite to action.

Lumina AI View is part of Lumina AI, a comprehensive suite of AI tools built specifically for communicators. Our Lumina suite evolves traditional media monitoring into narrative intelligence, enabling you to truly understand how perceptions form, evolve, and impact your reputation.

Get in touch to register your interest and see what Lumina AI View can do for you.

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Blog
Introducing Lumina AI View: AI Visibility Built for PR & Comms

Lumina AI View, the latest in Isentia’s AI suite, is trained on PR & comms workflows to help you understand what AI knows about you — and how it learned it.

Ready to get started?

Get in touch or request a demo.

Contact us Request a demo