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?
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.
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.
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.
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Blog
From Complex To Context
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.
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.
In Singapore, the rise of podcasting has shifted from entertainment and lifestyle into a new arena – public discourse and politics. As the 2025 General Election draws near, podcasters are making waves across online news and social media. To kick things off, we used Narrative AI, the first search engine for public opinion, to identify how large the global narrative on podcasts and their influence on audiences is in the last 6 months, using data from X.
We subsequently narrowed the focus of this global trend to Singapore and analysed on Pulsar TRAC more than 7k mentions across platforms like YouTube, Facebook, Reddit, TikTok, podcasts, Online News, blogs and forums to understand where the discourse is coming from, which channels are capturing the podcasters’ content and how audiences are responding to this content.
Mentions of podcasts in news and social media are growing
Social media is where the larger chunk of podcast conversation is taking place, specifically those episodes that feature a political figure, journalist or those that include healthcare-related discussions. The audiences that engage with these videos, majority being on YouTube, search for political credibility that resonates with them. Young Singaporeans watching these podcasts expect to see leaders who don’t just uphold the image of being a politician, but also someone who is grounded and trustworthy.
Youth and politicians' lives dominate podcast narratives
The audiences that consume these podcasts the most are young Singaporeans looking to participate in the conversation as much as they can. These audiences are being more proactive than ever.
With younger voters consuming media differently, these appearances are efforts by political candidates to connect with the public. Lawrence Wong, Josephine Teo, Indranee Rajah, and Desmond Tan, have used podcasts to communicate directly with the public – sidestepping traditional media filters.
Top podcasters on election-related content
When we focus on who the most mentioned podcasters around election content are, the Straits Times’ podcasts, the Daily Ketchup and Yah Lah BUT emerge on top. These podcasts have figured that the most discourse happens around content that’s either educational or controversial around elections. The public is actively responding to political content shared via podcasts, particularly those by The Straits Times and independent shows like Yah Lah BUT.
Satire and irony are key strategies to make politics palatable, especially for younger, digital-native audiences. The Daily Ketchup and Yah Lah BUT are blending serious topics like the GE2025, party agendas, healthcare, and opposition voices with humour that make them almost meme-worthy. Posts such as “PAP really said: ‘Trust me, bro’” TikTok clips show that these are genuinely made for content to go viral while retaining serious undertones too.
What’s interesting to note is that The Common Folks, with content in Malay and Indonesian, is tapping into a cross-border Southeast Asian audience and has some of the highest engagement on its content. Local slang, cultural jokes, and casual festive content like Raya greetings and songkok jokes have generated thousands of views, at times outperforming English-language political pods. This suggests a large, under-acknowledged appetite for vernacular podcast content that has a blend of humour and relatability.
Podcasts are no longer just background noise – they’re becoming one of the most relevant ways Singaporeans engage with politics. With high engagement on platforms like TikTok and YouTube, a wide spread of topics from youth issues to party politics, and growing presence in both mainstream and social media, podcasters are carving out a key role in shaping the GE 2025 conversation.
What is making podcasts stand out ahead of the Singapore GE2025?
In Singapore, the rise of podcasting has shifted from entertainment and lifestyle into a new arena – public discourse and politics. As the 2025 General Election draws near, podcasters are making waves across online news and social media. To kick things off, we used Narrative AI, the first search engine for public opinion, to identify […]
As the federal election campaign reaches its midpoint, patterns in media coverage and public attention are beginning to shift. Early social engagement was driven by cost-of-living pressures, energy policy, and political point-scoring, but has waned following the first leaders debate, despite this forum providing leaders the opportunity to set the agenda and strategies of the major parties. So how has coverage focus evolved since the first debate and are audiences still engaging with the campaign or switching off?
Social media engagement ahead of the federal election has been sharp and personal. It focused less on policy and more on identity and representation. From debates on topics such as immigration to housing stress and culture, social media has driven a values-first narrative. But while early attention was strong, both media coverage and social engagement have started to wane in the weeks since the campaign launched. The first leaders debate briefly reignited attention—trust, identity, and media—but coverage patterns suggest a shift away from daily blow-by-blow reporting towards broader social and cultural tensions.
As the federal election campaign nears its halfway mark, last week’s media highlights show a contest still struggling to cut through. Key moments included the first leader’s debate, the Treasurers Debate, the energy showdown at the National Press Club, and Senator Jacinta Price’s Perth appearance with Peter Dutton, which drew attention for its MAGA-style rhetoric. The first leaders debate was billed as a chance to reset the race—but for many viewers, it reinforced existing divides. Media attention around the debate momentarily lifted visibility for all major parties—but the spike was short-lived. The only party that has seen continued increases in social media engagement is the Liberal Party. The Liberal Party’s sustained rise in social media engagement may be linked to its digital-first strategy, including an AI-generated campaign ad spruiking a fuel excise cut and a meme-style diss track targeting Anthony Albanese—tactics designed to capture online attention and drive shareability.
The Liberals also pitched a $1200 tax cut, Labor attacked their WFH backflip, and the Greens pushed housing and tax reform. Meanwhile, Dutton warned of a Labor-Greens-Teal alliance. Coverage suggests public engagement is driven more by polarising moments and political theatre than detailed policy.
When the election campaign officially kicked off, cost-of-living pressures dominated the news agenda. Fresh off the back of the federal budget, it’s no surprise that affordable healthcare, lower gas and energy prices, and tax cuts were the key messages party leaders wanted to land with voters. But coverage quickly pivoted. In the past week, foreign diplomacy—particularly how each leader would manage Donald Trump—has surged in prominence. While Trump’s role in tariff threats has made headlines, his influence on the broader election narrative goes beyond trade. Media reporting has increasingly centred on Albanese and Dutton’s capacity to navigate a potential Trump presidency, with ideological alignment, national security, and economic fallout all in play. The first leaders’ debate was expected to refocus the campaign on domestic issues. However, it briefly touched on international concerns, with Prime Minister Anthony Albanese addressing the potential economic impact of Trump's proposed tariffs. Albanese described these tariffs as an "act of economic self-harm" that would dampen global growth, highlighting the intertwining of foreign policy with domestic economic concerns. This suggests that sustained attention is more likely when domestic issues are reframed through the lens of foreign diplomacy, and national identity.
In the social media landscape, Trump was a flashpoint in election-related conversation. His influence—real or perceived—was quickly linked to the Liberal Party, with MAGA-style rhetoric and Trumpian policy cues gaining traction online. These narratives tend to escalate on platforms where ideological alignment and cultural grievance amplify engagement. But it wasn’t all imported culture wars—the federal budget, and the Liberal Party’s fuel excise rebuttal, also drove significant social chatter. In recent weeks, comparisons between major party messaging and Trump-era policy—from international student caps and nuclear energy to debates about school curricula—have continued to dominate discussion.
The first leaders’ debate briefly touched on foreign policy, with Albanese warning Trump’s tariffs could hurt global growth, while Dutton framed it as a test of strong leadership. Domestically, Dutton’s renewed push for nuclear power reignited social media debate—drawing comparisons to Trump-era policies and fuelling discussion about Australia’s energy future. At the same time on social media, promises like HECS cuts, free TAFE, and more funding for public schools sparked genuine engagement, especially among younger voters and education workers, showing that practical, future-focused policies can still cut through. Compared to the start of the campaign, where cost-of-living dominated as a top-line concern, the conversation has expanded: audiences are now weighing both hip-pocket issues and the national values shaping Australia’s future.
While the debate itself tended to be overshadowed by frustrations about access and media control, a few political undercurrents still surfaced. Anthony Albanese drew some positive mentions, but reactions were far from policy-focused. The Liberal Party’s early claim of victory became a point of humour, with several users likening it to Trump-style misinformation tactics. Disillusionment with the major parties ran deep, with repeated calls to “break the donor-fuelled duopoly” and shift support toward independents or smaller parties. Still, these reactions seem more like a symptom of broader voter cynicism than a sign of energised political engagement, reflecting broader themes around the declining trust.
The leaders' debate didn’t reset the race—it refracted it, spotlighting how media coverage is now shaped less by policy detail and more by polarising symbols and cultural cues. As election day nears, the contest for attention is revealing just as much about media strategy and voter fatigue as it is about party platforms.
Did the leaders debate reignite voter interest or just stoke the culture wars?
As the federal election campaign reaches its midpoint, patterns in media coverage and public attention are beginning to shift. Early social engagement was driven by cost-of-living pressures, energy policy, and political point-scoring, but has waned following the first leaders debate, despite this forum providing leaders the opportunity to set the agenda and strategies of the […]