Big data is more than just a buzzword. It’s one of the biggest challenges and opportunities facing almost every industry, business and brand today. With the potential value that it holds, investment in big data, machine learning and AI will be crucial for any business that wants to remain relevant through the ages.
Big Data
noun: extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
Each day 2.5 quintillion bytes of data is generated – a number that continues to grow exponentially. While we have seen improvements in the collection of data over recent years, the ability to synthesize meaning from this data is demanding more from engineers and their technology than ever before.
The problem that we face is sorting through these huge chunks of data to separate the noise from what is important to individuals and their organisation. While automation has offered speed, simplicity and efficiency, the ‘why’ is where the untapped value and excitement lies.
“Contextualisation is key. It’s not about just collecting data, it’s about how that data can provide clear information that enables and inspires action”
Richard Spencer, Chief Marketing Officer at Isentia.
Rather than reflecting on past performance, answering the ‘why’ has the potential to lead action that focuses on influencing the tomorrow. Beyond big data, the ‘why’ behind AI and machine learning may raise new questions. For instance the wider interplay behind machine learnings ability to translate to a language without any knowledge or assumptions about that language.
As teams start to ask these questions, the data starts to be reimagined. The perception of a data point transforms into breadcrumbs of a narrative that can tell a bigger story, and ultimately influence our thinking.
The question is, when big data becomes manageable and meaningful – how fast will it move into being predictive? And even beyond this, be able to simulate what is ‘likely’ to happen.
Loren is an experienced marketing professional who translates data and insights using Isentia solutions into trends and research, bringing clients closer to the benefits of audience intelligence. Loren thrives on introducing the groundbreaking ways in which data and insights can help a brand or organisation, enabling them to exceed their strategic objectives and goals.
We spoke at Marketing Interactive's PR Asia 2025 recently in Singapore around authenticity, trust and how these are at a strain, specifically in this new AI-powered world. We were amongst top leaders in the PR industry who touched upon how crisis and reputational threats need to be dealt with authentically. Most importantly, companies must be ready for any kind of crisis communications to be activated with statements from senior leadership, without a sense of "doing everything reactively", i.e., the logistics need to be in place so that teams have enough time to be responsive rather that reactive.
Audience perceptions of AI: do we know what's real?
Russ Horell, Chief Revenue Officer, APAC touched upon a few cases that set the tone around how audiences have not been able to clearly identify which online content is real and have ridden the wave until someone figures it out. The two main examples that were touched upon were around how Mia Zelu, a virtual influencer on Instagram became the face of Wimbledon this year, until everyone realised she's not real.
The other case was around former Astronomer CEO Andy Byron's fake statement that was circulated - although not AI, it gives us an insight into how trust in CEOs is at an all time low, with this incident taking it further underground. In this world of fakes, audiences have given up on trying to decide what's real. This needs to be urgently addressed by PR leaders when it comes to brand communications, especially during a crisis.
Our CEO for Pulsar Group, Joanna Arnold was in attendance of the speaking session and at our booth to support and motivate as always. This gave us an extra level of confidence to interact with the visitors at the booth and to speak with them about who we are, what we do and more insight into our content.
Assigning cues to audience reactions
With all this in mind, we wanted to understand how leaders, specifically PR leaders can own their content strategy and decision making when it comes to responding effectively.We analysed posts by top executives and c-suite leaders on LinkedIn and audience behaviour to those posts. We then assigned cues - cues that identify which post is the most authentic in terms of cultural relevance, identity, tone & style, trust, information accuracy etc. Prashant Saxena, Vice President, Revenue & Insights, SEA expanded upon how these cues can be utilised to increase engagement 3-fold. This transforms authenticity from subjective performance into an executable framework that any leader can deploy. The pattern is clear, and posts with multiple authenticity cues consistently outperform those relying on tone alone.
Booth interactions
Jenna Wang, Business Development Director and Christian Chan, Business Development Manager for Isentia, Singapore were having engaging and insightful discussions with attendees, considering the topic at hand is an important one with an almost "what to do" playbook that leaders can use effectively in their communications. We knew many would be keen on understanding and wanting to know more as a follow up to the speaking session. Nikita Gundala, SEA Marketing Lead, managed the content and the logistics around the booth display along with timely updates on our social media.
We had a wonderful experience at PR Asia this year and we look forward to being a part of (and hosting) more such events where we can bring together industry leaders to understand how they navigate new challenges and what can be done about them.
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Blog
PR Asia 2025: how authenticity is the new currency for PR leaders in this AI era
We spoke at Marketing Interactive’s PR Asia 2025 recently in Singapore around authenticity, trust and how these are at a strain, specifically in this new AI-powered world. We were amongst top leaders in the PR industry who touched upon how crisis and reputational threats need to be dealt with authentically. Most importantly, companies must be […]
If your New Year’s resolution is to get ahead of the tech curve, you’re in luck.
As artificial intelligence (AI) transitions from novel to normalised in 2018, there are many ways you can integrate advanced technology into your day-to-day life, making you more productive at work and at home. Andrea Walsh, one of Australia’s most successful CIO’s, shares tips on how everyone can use machine learning to squeeze more out of the day.
Decision making
You may not trust a computer to make important decisions for you, but it can help guide your choices. Committed to read more in 2018? Amazon will analyse your previous purchasing behaviour to recommend books you might like. If you’d simply like to reconnect with old friends or spend more time with new ones, Facebook will flag friend suggestions for you. If you’re in the market for a new job this year, let LinkedIn’s algorithms suggest jobs you may be interested in or people you should be networking with. Embrace these tools to help cut through the noise and then use your own insight to make decisions on a narrowed, personalised field.
Be more punctual
If you are perennially late and have vowed to be more punctual in 2018, Google Maps is your new best friend, helping you avoid time-sucking activities like getting lost in parking lots or being caught in heavy traffic. Using data from your smartphone, Google is able to provide you with directions to where you parked your car. On the road, Google will analyse your position together with anonymised data from other smartphones to suggest the fastest route to your destination. If driving full-stop is your peeve, then you will be pleased to hear that California authorities will allow self-driving cars to be tested alongside cars driven by humans on roads this year. Experts predict this could result in a 90% reduction in accidents (which will arouse all sorts of ethical debates as to whether humans will still be able to drive cars), 75% less cars on the road and reduce the work commute by almost half.
Boost creativity
With the rise of machine learning comes the fear of job losses. “The development of full artificial intelligence could spell the end of the human race,” Stephen Hawking told the BBC.
An Oxford University survey suggested that 47 per cent of the world’s jobs could be replaced within decades. Autonomous cars present one example of how jobs in transport and logistics may be replaced by robots. With this uncertainty comes the understanding that routine work is far more likely to be automated than jobs requiring skills like creativity or emotional intelligence. Machines may be adept at processing large volumes of data, but they can’t make insightful or creative decisions. The good news is that as machines become smarter, humans are freed from mundane tasks and can become more creative. If you’re in a small business, using accounting products like Xero to manage your financial reporting. This allows you to turn your attention to business boosters like problem solving, improving customer service or creating new products. If you’re in big business, tools like Amazon Transcribe or Amazon Translate can perform laborious tasks like producing and translating documents with lightning speed and accuracy, allowing you to focus on big picture thinking like strategy and profitability.
Stay on top of current affairs
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 to humans with the mind-numbing task of flipping through newspapers in search of stories that might relate to a client. Machines trawl video, audio and digital content across more than 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% accuracy. Use these tools to stay on top of the issues or people relevant to your industry – in real time.
Make your mark in 2018
The robots aren’t ‘coming’, they are well and truly here. Without realising, we interact with ‘smart’ technology at almost every touch point of our daily lives. As a technologist, I am excited by machine learning not only because I see its profit boosting value, but also for how much it can improve our working lives each and every day.
If you learn one thing this year, take the time to discover how AI can help you be a more creative and productive version of you in 2018.
Headquartered in Sydney, Australia, Isentia is a media intelligence company operating since 1982. The company is backed by over 1,200 employees with 18 offices across Australia, New Zealand, Asia, Europe and the US. Isentia provides more than 5,000 clients, including many of the world’s leading brands, companies and governments, with media intelligence software and services that help drive more informed and timely business and communication decisions.
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Tips For Success: Make A Robot Your Partner In Crime In 2018
As artificial intelligence (AI) transitions from novel to normalised in 2018, there are many ways you can integrate advanced technology into your day-to-day life, making you more productive at work and at home.
It’s official: artificial intelligence has arrived. But how will this disruptive technology transform businesses in the near future?
After more than a few false starts, artificial intelligence (AI) is finally here, and it’s powerfully disrupting the way business is done. We don’t need to ask if or when businesses will adopt AI – the question is where and how widely it will be employed.
AI is already a big player in the technology industry. In particular, there is a growing use of AI in IT’s backroom functions like cybersecurity and tech support. A Tata Consultancy Services (TCS) survey of 835 company executives found that nearly half of respondents were using AI to detect and fend off intrusions – the most frequent use of the technology. But a number of other industries are also opting for AI.
Worldwide spending on cognitive and AI systems is expected to reach $12.5 billion this year, according to IDC, a whopping increase of 59.3 percent over 2016. Much of this growth is powered by use cases like the examples above. But there’s another area where AI is rapidly being adopted: automated customer service agents, or chatbots as they’re more commonly known.
Customers now expect AI to be used by companies and they are comfortable interacting with the technology (up to a point). Research from HubSpot found that nearly half of people are happy with the idea of buying products from a chatbot. Perhaps more importantly, 40 percent of respondents said they were indifferent about receiving customer support from either a chatbot or human – provided they got the help they needed fast and easily.
Dealing with data
Whether patrolling a computer network for intrusions or trawling through financials for signs of fraud, AI is most often employed to intelligently handle vast amounts of data quickly. “AI is best deployed in companies with significant amounts of data and robust data systems,” says Andrea Walsh, Isentia’s CIO.
Gartner predicts that, in 2018, half a billion users will save two hours a day as a result of AI-powered tools. Every time a business gains efficiencies, it saves money – and that is AI’s chief benefit.
AI’s smarter processing power is also helping companies generate more quality leads on new customers, using IBM’s Watson AI, for example. Finding, contacting and closing new sales is a time and resource-heavy activity. But AI-based sales assistants can tirelessly work on reaching out to people, while intelligently analyzing data on leads. This can then be effectively communicated with point-of-sale staff.
When employees hear the word “efficiency,” they often assume it will lead to lay-offs. While there is no question that some jobs will be replaced by AI programs, the naysayers are largely exaggerating their mass-redundancy predictions.
AI is a data-cruncher, and it is often employed to take care of something that didn’t even exist 30 years ago: big data. When it accomplishes its analysis, a human is still needed to interpret the results, such as in cybersecurity and anti-fraud scenarios. Even in the case of customer service chatbots, these will mostly be applied to routine queries and simple support functions, augmented by human representatives for complex problems. “AI should not stand alone as a technology,” say Walsh.
Enhancing existing infrastructure
As with all industrial revolutions, AI will create jobs even as it replaces them. There are already glaring shortfalls in STEM-trained employees across the world, and that’s likely to continue as the rapid pace of technological transformation outruns educational reforms. But eventually, new generations will be trained and educated to do jobs created by innovative technologies like AI.
Any business can benefit from AI programs, but when it comes to how broadly they adopt AI, companies need to look at how the technology can augment their existing capabilities. Instead of replacing staff, current AI should be used to support them and put their invaluable human minds to the best use, saving tedious, data-crunching work for the machines. For customers, AI needs to be a helpful, timesaving addition to their experience, and companies should never try to create the false impression that a human is doing the work. People are ready for AI; companies need to be too.
Andrea Walsh, Isentia's Chief Information Officer
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Transformative tech: What to expect from AI in 2018
It’s official: artificial intelligence has arrived. But how will this disruptive technology transform businesses in the near future?
What’s the Albanese government’s real game plan for its second term, and how will it play out in the media? Isentia recently brought together three of Australia's top political journalists to pull back the curtain: Peter Gearin, Editor in Chief atThe Mandarin, Jason Koutsoukis from The Saturday Paper, and acclaimed broadcaster Virginia Haussegger AM, for a panel with our partners CPRA at the Government Communications Forum, held at the National Press Club
For communications pros, the conversation was packed with clues about what to expect next from Canberra.
A smart strategy or a wasted opportunity?
The panel honed in on the government’s positioning since its “monumental election victory” an “oddly quiet return to political normality.” It’s a question every political operator is asking: is this a calculated, smart and stable approach, or is the government squandering a chance to be “bold and progressive”?
Peter Gearin suggested the caution is deliberate and here to stay. His take? The government learned a huge lesson from the Voice referendum, when Labor bit off too much, meaning the Government now wants to occupy the political centre and won’t risk getting caught out like that again. Expect the cautious approach and the first-term playbook to continue.
What sits behind this posture is a desire to move beyond being a party in power to being seen as the party of government. While critics argue this looks like stagnation, supporters see a measured style that prioritises trust over spectacle.
What’s on the agenda? Policy and Parliament
So, what are the key issues the government needs to nail this term? The panel highlighted several areas to watch closely:
Economic messaging: The recent Economic Roundtable was seen as the government’s attempt to carefully make the case or test the waters for change. How this translates into actual policy will be a major test.
The public sector: The Mandarin’s editor pointed to the ongoing agenda for Australia’s public servants and the government’s plans for improving the sector. Katy Gallagher is driving a vision of “evolution, not revolution” with a focus on strengthening in-house capability and reducing reliance on consultants.
Parliamentary chess: With the new makeup of parliament, will the government keep trying to find consensus with the opposition, or will it work with the Greens to drive a more progressive agenda? This strategic choice will define the term. The Greens are repositioning to be more pragmatic at the federal level, while the Coalition remains fragmented. A weak opposition could make the government’s path smoother, but it also risks reducing contestability and scrutiny in the system.
Leadership and cabinet confidence
Much of the government’s steadiness comes from its internal team. Albanese is viewed as a strategic operator with deep Labor roots, and his confidence is backed by a cohesive cabinet. Ministers like Jim Chalmers and Katy Gallagher have emerged as key players, bolstering the sense of stability. This team-based strength underpins the government’s cautious but deliberate style.
Balancing foreign policy and national interest
While domestic policy dominates headlines, the government is also asserting national interest abroad. Stability in foreign policy has been part of its strategy to project maturity and avoid overreach. This layer of pragmatism adds to the perception of a government intent on consolidating itself as a long-term, steady hand.
From broadcasting to narrowcasting
For communicators, the real gold was the discussion on how to get a message across in today’s complex and vast media landscape.
The panel explored the government’s newer tactics, like the PM’s appearances on popular podcasts with influencers such as Abby Chatfield and Hannah Ferguson. This reflects a broader shift from broadcasting to narrowcasting, with messages tailored to segmented audiences rather than a one-size-fits-all approach. Success now depends on understanding fragmented channels and feeding high-quality, diverse content into the ecosystem.
But even as the playbook evolves, there’s an argument for getting the basics right. Gearin believes the media’s core job is to talk truth to power and explain how government decisions actually affect citizens, rather than just focusing on the politics or the optics. As news consumption habits change, especially among younger Australians, this balance between accountability and relevance is more important than ever.
We are watching a government playing a cautious long game, intent on cementing itself as the party of government while avoiding the risks of overreach. At the same time, the opposition’s weakness and media’s evolution raise questions about accountability and contestability. For communicators, understanding both the government’s measured strategy and the fast-changing media playbook is essential to navigating the term ahead.
Cautious, considered, or coasting? Decoding the Albanese government’s second term
What’s the Albanese government’s real game plan for its second term, and how will it play out in the media? Isentia recently brought together three of Australia’s top political journalists to pull back the curtain: Peter Gearin, Editor in Chief atThe Mandarin, Jason Koutsoukis from The Saturday Paper, and acclaimed broadcaster Virginia Haussegger AM, for […]