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June 25, 2019

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.

Early adopters

In entertainment, companies like Netflix and Amazon are using machine learning to help their movie recommendation engines. Health care has seen myriad applications, including virtual assistants for doctorsapps that can interpret test results and even AI-based spine surgery technology. In the financial sector, AI has been put to work in regulatory compliance and fraud prevention – PayPal uses a combination of its own AI program and human analysts to combat fraud, for example, and HSBC has teamed up with Silicon Valley startup Ayasdi to automate anti-money-laundering investigations.

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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A World Of Information Without Noise 

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.

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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.

Originally featured on Women Love Tech.

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Blog
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.

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Photo of stakeholders engaging with insights as part of an organisation strategy

Insights promote action and change with stakeholders

Research, measurement and evaluation needs to promote action with relevant stakeholders including the general public. It’s easy to fall into a trap of measuring something because you think you should or because someone has asked for a few charts on a communication team's activity. But your stakeholder engagement strategy is missing an opportunity to create long term impact with key audiences.   

Stakeholders (internal and external) are an effective resource for driving change and shifting narratives. Stakeholders are a crucial avenue for advocacy of communications activity but are usually not provided with the necessary information. They need motivation to change their behaviour and support your objectives. 

A project that champions this is the Media and Gender research the Isentia insights team produced with Sport New Zealand. This research examines how women are portrayed across sports news in New Zealand and shines a light on where there is work to do. The research itself is engaging and builds rich insight into an area often not looked at on this scale. The most success lies in how research helped motivate and support behaviour change within the primary stakeholder - the media.

Move stakeholders with data-led evidence

Editor of The LockerRoom, Suzanne McFadden, said this study encourages national representation of women in sport,

“A surge in women's sport in NZ media, but a fall in female bylines, highlight the latest Sport NZ study - which also shows where LockerRoom leads the pack.”

Article referencing the research and how it's impacting women in sports coverage by online news publication, RNZ. An example of stakeholder engagement strategy
Article referencing the research and how it's impacting women in sports coverage by online news publication, LockerRoom. An example of stakeholder engagement strategy in action.

Jennie Wylie, Netball New Zealand’s Chief Executive said to Radio New Zealand, that media coverage plays a vital role in female participation in sports,

"What we do know is the cost of our young people not participating in sport, and the gap for young women and girls in that participation, it plays out in terms of media coverage, so if you can't see it, you can't be it."

Sport New Zealand was able to build a stakeholder engagement strategy using data and research that goes beyond numbers. It encourages those at the source of reporting to strive to improve. 

Here are some tips on how to rethink your approach to research and evaluation, so your organisation can do the same: 

4 considerations for your stakeholder engagement strategy

1. Don’t only focus on your own activity

It’s easy to fall into the measurement trap of focusing on your own activity and neglect your audience and sector. It’s important to understand if your communication is successful, but you're missing key opportunities (and threats) that you can only see if your research lens is wider.

2. The value of pre-research

Research performs at its best when used to determine where you should be going instead of only where you’ve been. Bring research into your planning early and give insight into what your audiences already experience as well as their responses and their preferences, so you can tailor your organisation’s activity based on evidence. 

3. Use your evidence to generate conversations

Engage all your stakeholders in the research process and as early as possible to increase their investment in the results, regardless if it means changing their own behaviour. The more measurement and research is collaborative and unites stakeholders within a common purpose, the more effectively it will spur change.

4. Measure more than once

Changing audiences and information requires your organisation’s research lens to focus on what's relevant to your objectives and audiences. 

measurement lens graphic for stakeholder engagement strategy.
A blue and white gradient graphic

Talk to the experts about how Isentia insights can refocus your stakeholder engagement strategy

Ultimately, research should help drive conversations, and in those conversations is where you can create change. It doesn’t always work the first time, so be persistent - it’s worth it! 

Contact us to discuss how we can create a tailored measurement programme that supports your goals.

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Thought Leadership
A targeted stakeholder engagement strategy in 4 steps

To have an impactful stakeholder engagement strategy you must use the right data-led insights to drive interest in your objectives.

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The state of the electric vehicle industry in Malaysia

Malaysia's automotive industry is one of the more environmentally-friendly industries. Various parties, such as the government and local automotive industry players, have continuously sought to promote electric vehicles (EVs). 

The subject of electric vehicles (EV) is growing among the Malaysian public in the social media sphere due to continuous efforts to promote EVs by various parties such as the government, local automotive industry players as well as companies directly involved in several aspects of EV (charging facilities/networks etc.)


Using data from Pulsar, Isentia analysed the conversations surrounding the topic of EV amongst Malaysia's social media users.

 

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How did discussions involving electric vehicles in Malaysia go?

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In this word bank powered by Isentia’s vast datasets, some of the most common keywords used by Malaysians when discussing EVs, apart from the topic itself, are 'drive', 'chargers', and 'battery'. EV is also associated with ‘future’ and ‘expensive’.

Across the country, social media users agreed that Malaysia is lagging behind neighbouring nations (such as Indonesia and Thailand) in EV facilities and vehicle development. They also agree that EVs are only accessible to rich people in the country because of a lack of affordable options and that the Malaysian government and other players should do more to promote electric vehicles as a practical form of transportation.

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What are the audience segments that have been talking about electric cars online?

Malaysian social media users who are more interested in electric vehicles are most interested in watching movies and TV. The three main audience segments include the Conservatives, Technology Enthusiasts, and Innovation Seekers. They are predominantly male audiences aged between 18 and 24. 

They also have high media affinity with Malaysia's prominent media outlets, such as Astro Awani, Bernama, and technology-focused outlets, such as Amanz and Digital News Asia.

 

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Conservatives follow social media accounts of mainstream news outlets and the government (ministers, ministries, agencies etc.) They believe government policies would benefit their daily lives, such as EV-related ones.

Technology enthusiasts seek out exciting posts on new technologies and actively participate in discussions surrounding them. They are advocates of technologies that would make the environment that they live in better, as well as efficient technologies.

Innovation seekers are actively sharing news and involved in conversations about innovations that enhance the development of industries relying on the newest technology. They tend to evolve their lifestyles accordingly and embrace innovations available at their disposal.

 

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What are the catalysts of EV discussions among Malaysians?

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Several points between April and July 2022 peaked due to active discussions among Malaysians on EV:

Launch of Automotive High-Tech Valley on 14 April - The launch would assist in positioning Malaysia as a hub for EV manufacturers and component suppliers to the ASEAN market.

Foxconn announced plans to build a facility in Malaysia on 19 May - Taiwanese company Foxconn plans to build a chip production facility in Malaysia with Malaysia's Dagang NeXchange Berhad to fulfil the demand for EV semiconductors.

Criticism of parking at charging facilities on 10 June - There was criticism towards road users in Malaysia who parked their vehicles at EV charging facilities.

Samsung develops plant in Malaysia on 21 June - Samsung SDI Energy Malaysia Sdn Bhd announced that they are developing a RM7 billion plant in Negeri Sembilan to pioneer the EV battery cell industry in the country.

First Range Extended EV developed in Malaysia on 21 July - Mimos Berhad has developed the first Range Extended Electric Vehicle (RE-EV) in Malaysia with the cooperation of Motosikal dan Enjin Nasional Sdn Bhd (Modenas) and Universiti Malaysia Perlis (UniMAP).

Get in touch with Isentia today to learn more about what consumers are saying about your brand. 

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This blog was produced using data from our sister company 
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Isentia Malaysia Case Study | Electric Vehicle (EV) Conversations in Malaysia’s Social Media Sphere

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