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Dialogue Management

07
Jul
Talkbot Basics
A.I to your aid — Meet your new administrative assistants
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Remember how Google Duplex mesmerised the audience when it successfully booked an appointment with a hairstylist in a live demonstration? It was not only an introvert’s dream but also a sign of technological breakthrough in our times. Now that we have witnessed what A.I. can do for the consumer’s side, what about the business side of things?

Automation of appointment booking systems

Nothing is more exasperating than waiting for a patient to turn up at their appointment, only to realise there has a been a cancellation that you were unaware of. Every client who cancels their appointment at the last minute is a lost business opportunity. Someone could have replaced them if they logged in their cancellation or arranged for a reschedule at an earlier time. While an appointment booking system can partially automate this process, it still requires someone to man the computer or system. Ultimately, the most efficient way to mitigate cancellations would be to call every single client ahead of time to confirm their appointment booking status; but this is only possible with sufficient manpower which many small enterprises do not have. As busy individuals, reminders for appointments are also extremely useful and closely related to customer service excellence. What if we told you that the process of managing your appointments could be fully automated?

Wiz. A.I specializes in hyper-realistic talkbots that can manage your appointment booking system. From rescheduling appointments to logging cancellations, the talkbot is designed to call a large volume of your clients before their appointments to check their booking status and reduce last minute backouts. This would significantly increase the attendance rate and minimise the administrative nightmare of last-minute cancellations. 

One might argue that creating an appointment booking system on an app is another way to manage the high volume of appointments. However, it is always better to initiate first contact, which is why talkbots are perfect for this job. By calling customers at an ideal time, your business would be able to have enough time to make the necessary schedule adjustments which increases work efficiency by leaps and bounds. Additionally, being called by a company to confirm an appointment booking puts the customer at ease and leaves a positive impression of the company’s sincerity and proactiveness. This is standard of customer service excellence that many businesses would strive to achieve and maintain.

Appointment confirmation and its nuances — Can A.I handle it?

We’ve all seen how appointment confirmation processes can become complicated; with both the customer service personnel and customer flipping through their respective calendars to find overlaps. This back and forth exchange of “is this day okay” or “I can’t make it” can also contain a lot of nuances. Driven by A.I., machine learning, automatic speech recognition (ASR), and natural language understanding (NLU), the talkbot is able to accurately identify the intentions of the speaker and manage their appointments accordingly. Furthermore, it is also able to answer a whole bevy of frequently asked questions like the business’ opening hours and address.

The best part about the talkbot: most people are unaware of their existence. Over 90% of users thought they were conversing with a human customer service agent. Such hyper realistic, humanised experiences are a testament to the talkbot’s advanced text-to-speech system. Additionally, with highly customisable and user-centric scripts, conversations can be designed to be concise and efficient, reducing call and hold times.

While ASR and text-to-speech systems work hand-in-hand to provide the best customer service possible, the system’s continuous improvement further adds to its technological prowess. Machine learning ensures that the ASR system only increases in accuracy with every call and that the text-to-speech engine is further refined to provide an even more realistic caller experience. The talkbot is also an amalgamation of all your top customer service agents as the script would mirror their best practices and perhaps come in handy as an A.I. trainer for your newcomers as well. With machine learning, the peak performance of your best human call agents is now the baseline for the talkbot. Imagine the effect this would have on customer satisfaction.

The start of the pandemic was characterized by panic and a surge of calls for many healthcare organisations. If anything, Covid-19 has shown us how high call volumes can come at unexpected times. In the life & death urgency of a contagious pandemic, call centres need to be able to handle these volume surges to put their patients at ease. With such a short notice, it is impossible to hire a large number of call centre agents and administrative assistants, let alone train them to be able to answer business-related questions. In such cases, the talkbot is the perfect solution as it is able to handle the sudden increase in call volume with no time required to overcome a learning curve.

Now that Covid-19 has normalised the need to book appointments in advance, the demand for IT solutions that handle such bookings is also growing rapidly. When it comes to places like clinics and hospitals where overcrowding detrimental to safety, having a robust system for managing appointments is all the more crucial to maintaining public health.

Talkbots are more than a stop-gap measure for appointment bookings during a pandemic. It is also a viable and permanent solution that many companies can turn to. At a time where most business processes are being forced to digitise, many enterprises are already exploring IT solutions to increase work efficiency and reduce costs. Little wonder that A.I. solutions have increased in popularity in recent months, especially when many of these solutions have proven to be effective and can be implemented for the long term. There is no better time to venture into talkbots than now.


07
Jul
Talkbot Basics
AI in Customer Service: Conversational A.I Talkbots
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Imagine a future where you can have phone conversations with robots. And no, we’re not talking about monotonous sounding robots but hyper realistic ones that bear an uncanny resemblance to humans. Once in the realm of science fiction, this scenario has become reality today. Conversational talkbots are artificial intelligence (A.I.) machines powered by natural language processing (NLU), automatic speech recognition (ASR) and several other mechanisms that makes the hyper realism possible. These technologies translate to improved cost efficiencies through lower labour costs and increased sales volume. With that said, what are the benefits of incorporating talkbots into your call centre?

A disruptive technology in the world of business

It is in every business’ interest to reduce their costs in order to maximise their earnings. In a time of economic disruption, it is essential for businesses to ensure that their resources are optimised. When it comes to call centres, time consuming tasks include those that are repetitive in nature, such as calling customers to check in on their interest in a product or to confirm an appointment, for instance. When a call centre agent that is known to have a knack for securing sales is tasked to only confirm appointments, we would consider this to be a misallocation and underutilisation of talent. This is where Conversational A.I. Talkbots can come in handy.

Riding on the worldwide push for task  automation, conversational A.I talkbots can augment your existing workforce by automating repetitive calls such as sending appointment reminders or other relatively straightforward tasks. Improvements in Natural Language Understanding (NLU), Natural Language Processing (NLP) and Automatic Speech Recognition (ASR)  has equipped talkbots with the ability to identity the caller’s intent as well as nuances in their speech. By automating such repetitive calls, businesses are then able to divert their best agents to handle more complex call tasks, thereby ensuring cost efficiency when running a business.

As Wiz.A.I creates highly customisable talkbots for your business needs, these talkbots will mirror your best service agents and their best practices to ensure customer service excellence. When it comes to human agents, any changes to their script or sales tactics requires training, and this in turn consumes precious time with an indefinite outcome as to whether the new skill is effectively learnt and applied. With a talkbot, any updates to the information disseminated to your callers can be implemented almost instantaneously, bypassing steep learning curves. Not only is implementing a new sales tactic now a seamless process, feedback is also available almost immediately through data insights and analytics that track the reception of customers.

Driving Sales with A.I

Closing a sale is also a time consuming and time sensitive process. When a company is able to call a customer when he/she is in the midst of deliberating, there is a higher likelihood of successful conversion. Like the proverbial striking of the iron while it is hot, getting the time right is already half the sales battle won. It is however, tricky to know when that window of opportunity will open. This is where customer analytics becomes crucial. Using the Conversational A.I Talkbot, companies would be able to conduct some form of customer segmentation after identifying their intentions. After retrieving this valuable information, businesses can then devise a better strategy to tackle each customer persona. For example, the talkbot would be able to identity who are the customers who have expressed great interest, before shifting their attention to persuading them.

 

Using A.I. for customer service calls can also allow for greater customer outreach and loyalty. Being able to reach out to numerous people at one time while checking in on their interests not only allows for companies to have a higher chance of sealing the deal, it also makes for a memorable customer and brand experience. Small gestures like congratulating customers or letting them in on an exclusive deal will also build brand loyalty, leading to higher returns in the long run.

Furthermore, machine learning which is an integral part of these talkbots allows these intelligent systems to become progressively better at picking up the intentions of the callers. The more data and exposure to different conversations, the better it is and the faster the progress. The rapid rate of technology development in A.I. also allows for system upgrades and hence, customer service excellence.

Most customer service calls are often outsourced to countries where labour costs are more affordable. As such, these agents who are not working directly under the company may not be able to understand the image that the company is trying to present to the general public. Engineering a talkbot and scripting to accurately reflect your company image to deliver the right information to the audience makes a world of difference. Building a talkbot for your company allows your business to regain control of your brand image, while maintaining its consistency through A.I. delivered service standards.

Every call centre agent has their fair share of nasty calls, making it increasingly difficult to maintain a positive and professional tone during a long day at work. Talkbots may hence be in a better position to handle such tricky situations as its tone of speech is maintained. When necessary, the call can be also be transferred to relevant departments. Such arrangements prevent unwelcome scenarios such as when an exasperated customer meets a tired call centre agent who is misunderstood to be insincere.

Companies may also sometimes experience a surge in call volumes where increasing the number of call centre agents in such short notice would be impossible. Once again, talkbots are well equipped to rise to the challenge, handling sudden fluctuations with ease.

All in all, adopting A.I for higher levels of automation is becoming a business strategy proven to have significant returns. This is a golden opportunity to supercharge your call centre services and elevate your business to the next level.


07
Jul
Talkbot Basics
How COVID-19 has changed the call centre
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Covid-19 not only pushed the world to intensify digital transformation efforts, it also made companies aware of the necessity of automating some business processes to meet their immediate needs in times of crises. Numerous call centres screeched to an abrupt halt during the lockdown as many companies were unprepared for remote work. More often than not, call centre agents are outsourced and not within the premises of the company’s office. Moving the phones and its accompanying infrastructure was a logistical nightmare especially in such short notice. While Covid-19 forced the majority of the world to adopt remote work arrangements, it drove companies to realise the potential of Artificial Intelligence (A.I.) and how automation could revolutionise call centres.

A.I and the changing landscape

The call centre is typically in charge of handling outbound and inbound marketing calls or other relevant customer enquiries. A large team of call agents is often sufficient in handling large call volumes, but when lockdowns are imposed and everyone is forced to stay at home, the workforce immediately gets thinned out, and the usually manageable call volume becomes a formidable task. Enter, Conversational A.I. talkbots. These intelligent talkbots are powered by A.I. and are able to engage in human-like conversations with caller. This is possible because the talkbot is driven by systems like Natural Language Understanding (NLU), Automatic Speech Recognition (ASR) and Machine Learning; to name a few. Equipped with the capability to engage a customer, high call volumes are easily handled and when confronted with complex enquiries, the talkbot is smart enough to transfer the call to a human agent who can promptly provide a solution.

As mentioned previously, most companies outsource their call centre agents to other countries where labour costs are lower. As a result, these call centre agents may not have a deep understanding of the company they are working for. By contrast, the talkbot is curated, scripted, and customised according to the company’s needs. The process of building a conversational talkbot is centred on the company’s messaging, the image they would like to portray to the public, or a sales tactic they would like to employ on customer calls. All in all, this allows the company to have better control over their content, messaging, and image – elements which are easily lost when telemarketing calls are outsourced to external labour.

Businesses that were forced to look into automating some processes would also have realised how A.I. is able to reduce the cost of production significantly. Furthermore, the quality of the service is not only maintained but arguably, has become better than before. How does this happen?

While constructing the talkbot, Wiz.A.I looks at the best practices of your top-performing call agents. We then incorporate these practices into the structure of the talkbot’s conversation to ensure that inbound and outbound marketing calls are not only intuitive, but also engaging and convincing. The talkbot is engineered to be strategic in the information that is provided to the caller to maximise the efficiency and effectiveness of the conversation; two qualities which have become increasingly important in a society where time is precious and attention spans are shorter than ever.

Take the following scenario: A call centre agent is tasked to call 200 customers by the end of the day to confirm their appointments. It is not surprising that by the time the agent calls the 50th customer of the day, his enthusiasm would have dampened and his tone, noticeably fatigued and exasperated, especially if he/she has endured difficult calls. Talkbots by contrast, are able to maintain a consistent tone throughout all 200 calls, which in turn translates to higher quality calls and consistent service standards. Frustrated customers are more likely to be put at ease when the call agent is patient and sincere.

With one talkbot to handle a large volume of customers at once, your call centre agents can be put on standby to handle more complex tasks instead of repetitive ones. It’s better to let your talkbot do the mundane task of recording the caller’s intentions like whether they are able to make it for the appointment or need to reschedule, while the valuable skills and emotional capacity of your call centre agents can be fully utilised in more productive areas.

This new work environment sounds too good to be true?

A.I. technology is no longer in the realm of science fiction or just another pipe dream, it is being applied to several aspects of daily life. Take smart home devices, for example. With A.I., our personal lives are much easier and it is a given that companies would try to leverage technological advancements to improve their businesses.

Wondering if callers might realise they are speaking to talkbots? Wiz’s A.I. technology has refined the art of human-like conversations to the extent that 90% of our callers thought they were speaking to a human! This is possible because of the text-to-speech technology which generates talkbot voices that sound as human as possible. Additionally, talkbots also recreate the various nuances of human conversations – pausing when interrupted, clarifying questions when confused, and adapting the conversation flow according to new questions. This all makes for a hyper-realistic customer service experience. Additionally, machine learning allow the talkbot to be continually refined in its accuracy in understanding nuances in the human language; a tricky task that is second nature to humans but not so to computers. Trained on large amounts of data, the talkbot only gets better with time. Instead of lengthy learning curves, any updates to the information disseminated or the incorporation of a new sales tactic in outbound marketing can be incorporated into the calls instantaneously, saving the company precious time and money.

In spite of the economic challenges of the past year, there is a golden opportunity to ride the wave of A.I. adoption. Rather than a dystopian narrative of a “robot takeover”, A.I. technology constitutes a handy tool that compliments your workforce, positioning your business for elevated growth, and revolutionising the call centre industry as we know it.


07
Jul
Talkbot Basics
Age of Automation: Which calls should I automate?
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

The  pace of workplace automation is expected accelerate in the next three years. The automation of key segments of the production process is critical to boosting efficiency while maintaining competitiveness in the economy. Cutting edge technology such as artificial intelligence (A.I.) is also becoming increasingly popular among companies seeking IT solutions to meet their business needs. The surge in the adoption of A.I. solutions is spurred by the twin pressures of Covid-19 lockdowns, and the constant need for efficiency. When offices closed and remote work became the default arrangement, automation became a solution to labour shortages, causing a substantial spike in the demand for A.I. related technologies. For instance, A.I. can be used to automate both outbound and inbound calls for call centres or companies engaging in telemarketing. Wiz. A.I. specialises in creating hyper-realistic talkbots that are powered by natural language processing (NLP) and machine learning— tools that can be useful for meeting sudden surges in call volumes and increasing your customer outreach.

Wiz’s talkbots are engineered to be able to understand the nuances in the human language (and yes, this includes complex ASEAN languages) while engaging customers in meaningful conversations. Far from being science fiction, our talkbot technology has refined the art of humanised conversations to the extent that over 90 percent of users could not recognise that they were speaking to A.I. over the call. Instead of a monotone, robotic voice that one would commonly associate with voice-layered chatbots like Alexa and Siri, customers speaking to Wiz’s Talkbots are greeted with friendly, human-like voices. This experience is only possible because of the text to speech (TTS) speaker model that is meticulously developed and consistently refined by Wiz’s dialogue engineers to mirror the human voice.

Which types of calls can be handled by talkbots? 

  1. Repetitive tasks

Take the healthcare industry, for example. When it comes to managing appointments, it is not uncommon for people to forget their appointments or cancel them prior to a consultation. To ensure that appointments are managed in an orderly manner, staff in charge of administrative matters will have to spend hours calling patients who have made a booking, lest they miss their appointments entirely. Tasks such as appointment confirmation and reminder calls are rule-based and can be automated with talkbots. By carefully constructing a conversation flow that is user centric and intuitive, talkbots can be utilised for this task. Crucially, the time spent confirming appointments is significantly reduced as the talkbot can manage multiple callers at once. Additionally, the intention of the caller (whether they can make it) is automatically recorded in the system, significantly reducing administrative complexity.

But what if someone does not pick up on the first call? Talkbots are able to identity missed calls and automatically schedule a later time to redial.  With human error minimised, you can rest assured that every caller on the list will be contacted. In the event that the caller has a unique and complicated request that requires the assistance of a human staff member, the call can also be immediately transferred to relevant departments.

  1. Telemarketing

According to Deloitte, voice-based communications are still preferred over emails or chats when it comes to complex conversations. Telemarketing or ‘cold calls’ can also be considered a repetitive task and is arguably straightforward. A user can have one of the following three intentions: (1) interested, (2) uninterested, or (3) on the fence. If it is the second or third option, the talkbot can also be designed to be persuasive by mirroring some of the best practices of top performing call centre agents. At the very least, the talkbot will leave some form of information that the user can easily recall, such as the name of your website. This piece of information can be disseminated either verbally at the end of the call or via a text message. If your potential customer decides to change their mind, they would at least know where to find more information.

Cold calling is both a tedious and time consuming process when done manually. Hence, it is also important to conduct audience segmentation to ensure that calls are targeted at the right people to maximise conversion rates. To this end, call logging or transcribing is necessary but onerous. With conversational talkbots and its speech-to-text capabilities, call logging is automated and the conversations can also be easily analysed. Not only does this generate valuable insights, it can also be used as a guide on how to further improve your script. Furthermore, as talkbots are essentially computers, learning curves are no longer an issue; any updates or changes are instantaneous and no time is lost while attempting to secure a customer. The talkbot is able to provide timely calls and ‘strike while the iron is hot’— and that is the most ideal way of securing a deal.

  1. Calls that require large amounts of emotional labour

Emotional labour is defined as the arduous task of having to perk yourself up every single time you pick up a call from another customer, regardless of whether you have been picking up calls for the past 3 hours or if your previous call was an extremely unpleasant one. This takes an emotional toll on call centre agents which in turn, inevitably affects their performance in the long run. As employees either make or break the business, especially in customer-facing roles, it is in the company’s interests to protect their emotional needs. Adopting talkbots to handle difficult calls allow employees to  monitor calls from a distance and intervene at the right time. Additionally, because the talkbot is able to keep its tone consistent at all times, customers may be more satisfied with the call as it is highly unlikely that they will be speaking to a tired call agent who may come off as insincere – a disastrous setup if customers are already frustrated on their end.

Talkbots are the future

All in all, A.I.-driven automation might be your best bet at increasing cost efficiency and optimising your work processes. Seize the opportunity to leverage A.I. technologies to elevate your business for success.

Schedule a demo now

07
Jul
Pengenalan Talkbot
Revolusi Industri 4.0: Otomasi Bisnis Lewat Kecerdasan Buatan
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Percepatan otomasi industri diperkirakan akan meningkat drastis dalam beberapa tahun kedepan. Otomasi pada segmen-segmen kunci proses produksi sangat penting dalam meningkatkatkan efisiensi sekaligus menjaga kompetisi ekonomi. Teknologi terdepan seperti Kecerdasan Buatan (A.I.) juga makin populer di kalangan pelaku industri yang menggunakan solusi teknologi untuk memenuhi kebutuhan bisnis mereka. Meningkatnya adopsi solusi AI pada 2 tahun terakhir ini terjadi karena dua hal yaitu; Lockdown saat pandemi Covid-19, dan kebutuhan untuk terus menjadi lebih efisien. Saat perkantoran tutup dan sebagian besar orang harus work from home (WFH), otomasi menjadi solusi untuk kurangnya tenaga kerja, yang mengakibatkan peningkatan permintaan yang substansial terhadap teknologi berbasis AI. Misalnya pada call center, AI dapat mengotomasi panggilan telepon inbound dan outbound yang menggunakan telemarketing. Terlebih lagi dengan adanya sistem Talkbot canggih oleh WIZ.AI yang dibuat dengan teknologi Natural Language Processing dan Machine Learning yang sudah. Kedua teknologi ini memberikan kemampuan Talkbot untuk menangani peningkatan volume telepon secara mendadak. sekaligus juga meningkatkan kesempatan perusahaan untuk menjangkau lebih banyak pelanggan.

Lalu apa saja aspek-aspek bisnis dalam cakupan customer service dan call center yang dapat diotomasi?\


 1. Pekerjaan yang sifatnya repetitif

Salah satu kesulitan dalam usaha customer service atau pada call center yang sering dihadapi adalah pekerjaan simpel yang selalu diulang-ulang. Pekerjaan-pekerjaan tersebut sangat penting, namun waktu dan tenaga yang terbuang jika menggunakan tenaga manusia akan sangat sia-sia. Contohnya saja pada industri kesehatan. Ketika pelanggan melakukan janji dengan rumah sakit, atau klinik sering kali mereka lupa atau bahkan membatalkan janji mendadak sebelum waktu pertemuan. Untuk memastikan pelanggan tidak melewatkan janji pertemuan, staff administrasi harus meluangkan banyak waktu hanya untuk menelepon pelanggan dan mengingatkan mereka agar tidak melewatkan atau membatalkan pertemuan di saat-saat terakhir. Pekerjaan seperti konfirmasi janji, dan panggilan untuk mengingatkan janji pertemuan adalah pekerjaan yang mempunyai alur yang pasti dan dapat dengan mudah diotomasi dengan Talkbot. 

Dengan membangun alur percakapan yang intuitif dan berdasarkan percakapan dengan pengguna, Talkbot dapat dengan mudah melakukan pekerjaan ini. Dengan menggunakan Teknologi Talkbot, waktu yang dibutuhkan untuk mengkonfirmasi janji pertemuan secara signifikan dapat dikurangi karena Talkbot dapat menangani beberapa penelepon sekaligus. Selain itu, maksud dari penelepon (terkait apakah mereka dapat menghadiri pertemuan) akan secara otomatis disimpan di dalam sistem, sehingga dapat mengurangi kebutuhan administrasi. Disisi lain, masalah dapat timbul ketika pelanggan tidak menjawab panggilan telepon. Jika hal seperti ini terjadi sistem AI Talkbot dapat langsung menjadwalkan waktu untuk melakukan panggilan pada masa mendatang. 

Dengan tingkat human error yang minimal. perusahaan dapat memastikan seluruh pelanggan yang ada di daftar telepon akan dihubungi. Pada kasus-kasus tertentu di mana pelanggan membutuhkan bantuan yang unik dan spesifik, serta membutuhkan  bantuan dari agen spesialis, Talkbot dapat mengalihkan panggilan ke departemen terkait. 

 

2. Telemarketing

Menurut Deloitte, komunikasi lewat suara masih lebih disukai ketimbang email atau chat text terutama pada percakapan yang kompleks. Telemarketing atau yang juga biasa dikenal dengan cold calls merupakan salah satu pekerjaan yang sifatnya repetitif dan bisa dibilang lugas. Setiap pelanggan yang ditelepon biasanya memiliki tiga motif yakni; (1) Tertarik, (2) Tidak Tertarik, atau (3) Belum pasti. Jika motif pelanggan adalah pilihan nomor 2 dan 3, Talkbot dapat didesain untuk menjadi lebih persuasif, sesuai dengan best practice yang dilakukan oleh agen call center. Paling tidak, Talkbot akan memberikan informasi yang mudah diingat oleh pelanggan. Informasi ini dapat diberikan pada akhir panggilan telepon atau, melalui pesan teks. Jadi, jika sang pelanggan berubah pikiran, mereka tau di mana mereka dapat melihat informasi lebih lanjut. 

Cold calling terkadang bisa menjadi suatu aktivitas memuakan yang memakan banyak waktu jika dilakukan secara manual. Karena itu, perlu dilakukan segmentasi pelanggan untuk memastikan setiap panggilan secara ditargetkan pada pelanggan yang tepat untuk memaksimalkan tingkat konversi. Untuk melakukan hal ini, pencatatan atau transkripsi panggilan merupakan hal yang perlu dilakukan, walaupun sangat sulit. Dengan Talkbot percakapan, dan teknologi speech-to-text, pencatatan dan transkripsi panggilan dapat dilakukan secara otomatis, sehingga dapat dengan mudah dianalisis. Hal ini bukan hanya menghasilkan pengetahuan pasar yang berharga, tetapi juga dapat digunakan untuk memperbaiki skrip panggilan telepon. Lebih dari itu, karena Talkbot adalah mesin komputer, proses pembelajaran bukan lagi menjadi masalah. Setiap update atau perubahan dapat dilakukan secara instan, dan tidak ada waktu yang terbuang saat menutup penjualan. Talkbot dapat melakukan panggilan pada waktu yang tepat dan memanfaatkan kesempatan dengan baik.  Itulah cara paling ideal untuk menarik hati pelanggan. 

 

3. Panggilan Telepon yang Membutuhkan Usaha Emotional Labor yang Besar

Pernah dengar istilah Emotional Labor? Emotional Labor adalah proses mengelola emosi anda dalam melakukan suatu pekerjaan. Contohnya saja ketika anda harus menyemangati diri anda untuk mengangkat telepon dari pelanggan, walaupun anda sudah menjawab telepon selama  3 jam, atau baru saja berbincang dengan pelanggan yang tidak menyenangkan. Hal seperti ini memberikan beban emosional yang berat kepada agen, yang nantinya akan mempengaruhi performa agen tersebut dalam jangka panjang. Perlu diingat bahwa pegawai adalah aspek penting perusahaan terutama dalam berkomunikasi dengan pelanggan. Untuk itu, menjaga kesehatan emosional pegawai adalah salah satu perhatian utama perusahaan. 

Dengan menggunakan Talkbot untuk menangani panggilan telepon yang sulit, memberikan kesempatan untuk agen memonitor panggilan, dan mengintervensi ketika dibutuhkan. Selain itu, karena Talkbot dapat menjaga intonasi secara konsisten, pelanggan juga akan merasa lebih puas karena mereka tidak berbicara dengan agen call center yang sedang lelah, yang mungkin terdengar kasar atau tidak sopan. Terlebih lagi jika pelanggan sedang merasa frustrasi.

Jika dilihat, otomasi berbasis AI merupakan pilihan terbaik dalam meningkatkan efisiensi biaya dan optimasi pekerjaan. Jadi, mulailah berinvestasi pada solusi berbasis teknologi AI untuk meningkatkan kesuksesan bisnis.


07
Jul
Pengenalan Talkbot
A.I. Datang Membantu – Asisten administrasi baru anda
Jennifer Zhang

Jennifer Zhang

CEO & Co-Founder

Apakah anda masih ingat saat di mana Google Duplex mencengangkan seluruh penonton ketika ia berhasil melakukan pembuatan janji dengan seorang hairstylist? Bukan lagi hanya mimpi orang-orang introvert, hal ini juga merupakan tanda terobosan teknologi yang sangat penting. Kehadiran AI sudah mempermudah berbagai hal dari sisi konsumen seperti Asisten Virtual , Mobil dengan kendali otomatis, hingga perangkat-perangkat smart home, smart cities, dan infrastruktur “Smart” lainnya. Lalu bagaimana dengan kegunaan AI untuk bisnis?


Otomasi Sistem Booking (Buat Janji otomatis)

Tidak ada yang lebih menjengkelkan daripada menunggu pelanggan yang sudah membuat janji, yang ternyata membatalkan pertemuan secara sepihak tanpa memberitahu anda. Setiap klien yang membatalkan pertemuan pada sesaat sebelum pertemuan adalah kesempatan bisnis yang sia-sia. Bukan hanya karena janji yang dibatalkan, tapi juga karena waktu dan tenaga yang terbuang untuk mempersiapkan pelayanan bagi klien yang ujung-ujungnya membatalkan pertemuan. Jika klien tersebut membatalkan pertemuan lebih cepat, anda dapat mengalihkan waktu dan tenaga untuk melayani pelanggan lain, atau bahkan melakukan reschedule untuk pertemuan dengan pelanggan tersebut. Dengan adanya sistem booking ada beberapa aspek pembuatan janji yang dapat diotomasi, tapi tetap dibutuhkan admin yang harus siap standby menangani sistem tersebut. Tapi, pembatalan janji pada menit-menit terakhir masih menjadi masalah. Bisa dibilang cara terbaik untuk mitigasi pembatalan janji adalah dengan menelpon pelanggan beberapa waktu sebelum pertemuan untuk mengkonfirmasi status booking mereka. Tapi hal ini hanya dapat dilakukan jika perusahaan mempunyai tenaga kerja yang cukup yang tidak dimiliki oleh kebanyakan perusahaan-perusahaan dengan ukuran kecil dan menengah. Pengingat janji pertemuan adalah hal yang sangat berguna dalam memastikan pelanggan menepati janji pertemuan, dan merupakan hal faktor penting dalam memberikan pelayanan terbaik bagi pelanggan anda. Jadi, bukankah akan sangat baik jika proses manajemen janji pertemuan dapat sepenuhnya dilakukan dengan otomatis?

Untuk mengotomasi manajemen pembuatan janji ada beberapa sistem yang dapat digunakan. Salah satunya adalah penggunaan sistem Talkbot hyper-realistic yang dibangun dengan teknologi AI terkemuka seperti teknologi Machine Learning Natural Language Understanding, Automatic Speech Recognition, dan Interactive Voice Response (IVR). Teknologi Talkbot ini didesain untuk membantu perusahaan menghubungi pelanggan dalam jumlah besar lewat panggilan telepon untuk mengkonfirmasi status booking mereka, dan juga mengurangi pembatalan janji pada menit-menit terakhir. Dengan teknologi ini perusahaan dapat secara signifikan memaksimalkan tingkat kehadiran pelanggan, dan meminimalisir masalah administrasi yang disebabkan oleh pembatalan janji di saat-saat terakhir.

Ada beberapa pendapat yang mengatakan bahwa membuat aplikasi sistem pembuatan janji adalah salah satu cara untuk mengelola jadwal pertemuan yang banyak. Tapi, akan selalu lebih baik jika perusahaan melakukan kontak terlebih dahulu. Inilah mengapa Talkbot merupakan menjadi pilihan yang tepat. Ketika kita dapat menghubungi pelanggan pada waktu yang ideal, perusahaan dapat melakukan penyesuaian jadwal yang dibutuhkan yang dapat  meningkatkan efisiensi kerja secara signifikan.  Lebih dari itu, menelepon pelanggan untuk mengkonfirmasi pertemuan dapat membantu pelanggan merasa lebih tenang dan diapresiasi, yang akhirnya akan memberikan kesan positif bagi pelanggan, dan membuat perusahaan terlihat tulus dan proaktif. Inilah standar kualitas layanan pelanggan yang harus dipenuhi oleh perusahaan. 


A.I. untuk mempermudah seluruh aspek pembuatan janji

Kita semua sudah tahu bagaimana rumitnya proses untuk mengkonfirmasi janji pertemuan ketika pelanggan dan agen customer service harus repot-repot mengecek kalender untuk mencari jeda pada jadwal mereka yang padat. Percakapan tentang “apakah bisa dilakukan hari ini?” atau “Maaf saya sibuk pada tanggal ini” juga dapat memiliki konteks yang berbeda. Dengan teknologi  machine learning, automatic speech recognition (ASR), dan natural language understanding (NLU), Talkbot dapat secara akurat mengidentifikasi maksud dari pelanggan dan memanage janji pertemuan mereka sesuai dengan keinginan pelanggan. Selain itu, Talkbot juga mampu menjawab berbagai pertanyaan yang sering diajukan (FAQ) seperti waktu operasional, lokasi usaha, maupun layanan atau produk yang ditawarkan.

Hal terbaik tentang Talkbot adalah banyaknya orang yang tidak tahu akan keberadaan Talkbot. lebih dari 90% pengguna mengira mereka sedang berbicara dengan agen customer service. Padahal, mereka sedang berbicara dengan Talkbot. Kemampuan talkbot untuk terdengar seperti manusia dapat dicapai dengan sistem text-to-speech yang mutakhir. Sistem text-to-speech juga bekerja sama dengan teknologi ASR untuk memberikan pelayanan terbaik bagi pelanggan.  Selain itu, pengembangan sistem yang berkelanjutan juga memberikan nilai lebih dalam penggunaan Talkbot. 


29
May
Featured Articles
Singapore AI startup Wiz nets $6m in pre-series A round led by GGV Capital

Wiz.ai, a Singapore AI startup that aims to digitize customer engagement, has raised US$6 million in a pre-series A funding round led by GGV Capital. Wavemaker Partners, ZWC Partners, Insignia Ventures, and Orion Fund, which is managed by K3 Ventures, also participated in the round 

Photo credit: Andriy Popov / 123RF

 

With the investment, the company plans to expand its product offerings and grow its teams in Southeast Asia. Wiz employs scientists, researchers, linguists, and dialogue designers in its offices in Singapore, China, and Jakarta. 

 

Launched last year, the startup focuses on developing conversational AI for Southeast Asian languages. The company said its solution can help businesses cut costs while improving customer service with personalized inbound and outbound calls.

Its front-end talkbot encourages customers to engage more in conversations. The back-end, meanwhile, sifts through the data in real time and stores insights from the conversations into the company’s existing customer relationship management system. Wiz then analyzes the data at both the granular and aggregated levels.

According to a statement, the startup currently serves businesses in healthcare, insurance, banking, telecommunications, and ecommerce sectors, as well as the Singapore government for payments. 

Meng Xiong Kuok, founder and managing partner at K3 Ventures, noted that automation is important for business continuity especially amid the Covid-19 crisis.

The development of AI in Southeast Asia still lags behind AI global hubs such as China and the US. Singapore, however, is currently leading in AI implementation across the region. In November last year, the city-state rolled out a national AI strategy and committed more than S$500 million (US$354 million) to fund AI activities under its Research, Innovation, and Enterprise 2020 Plan.

Currency converted from Singapore dollar to US dollar: US$1 = S$1.41.

This article was written by Written by Doris Yu and Published on Tech In Asia
 
 

29
May
WIZ
Featured Articles
Bagaimana 3 Inovator yang Berbeda Menyederhanakan Kehidupan Konsumen Mereka

Selalu ada kesempatan di setiap kesulitan. Pandemi COVID-19 yang belum kunjung usai di berbagai negara membuat para pelaku bisnis harus beradaptasi, berjuang, serta memberi nilai tambah dari solusi yang ditawarkan.

Salah satu caranya adalah dengan membantu klien melakukan transformasi digital sesuai kondisi masing-masing. Dengan memberikan kustomisasi layanan, para founder menyadari mereka bisa mendapatkan hasil yang lebih baik. Simak bagaimana tiga perusahaan startup berikut membantu para klien masing-masing bernavigasi menuju digitalisasi.

Manycore: Menyederhanakan hidup pemilik rumah melalui layanan SaaS

Memilih perabotan rumah bisa jadi hal yang melelahkan. Tak sedikit pemilik rumah yang menghabiskan terlalu banyak waktu dan uang untuk mendesain tata ruang rumah dengan desainer interior.

Untuk mengatasi masalah ini, tiga orang alumni dari University of Illinois–Victor Huang, Chen Hang, dan Zhu Hao–mendirikan Manycore pada 2011. Dua tahun setelahnya, mereka merilis software-as-a-service (SaaS) jasa desain berbasis cloud untuk keperluan perabotan rumah tangga dan sektor real estat. Namun, di awal usaha, mereka sempat kesulitan menarik perhatian audiens yang jadi target: desainer interior.

“Kebanyakan desainer interior menyampaikan (kepada kami) jika mereka memakai tool berbasis web, para konsumen malah beranggapan desainer hanya menghabiskan sedikit waktu dalam mendesain prototipe, sehingga terkesan bahwa desainer tidak profesional,” ujar Huang.

Menghadapi respons pasar yang kurang antusias, Manycore banting setir untuk memperkenalkan produk mereka kepada para pemilik rumah. Mereka menawarkan pengguna untuk mendesain rumah dalam hitungan menit, dan mendapatkan gambar fotorealistik dalam hitungan detik, sembari menghemat biaya desain interior. Dengan menjembatani celah ini, masyarakat awam dan para pemilik rumah mampu mendesain interior rumah mereka dengan solusi yang ramah.

“Sebelumnya, pemilik rumah butuh waktu berhari-hari–bahkan beberapa minggu–untuk menghubungi, bernegosiasi, hingga membuat kesepakatan dengan desainer interior,” papar Huang. Ia menambahkan, software interior desain terdahulu cukup sulit dipelajari, serta membutuhkan waktu berbulan-bulan hingga pengguna bisa membuat desain yang simpel.

Dengan makin banyak pemilik rumah yang menggunakan platform Manycore, para desainer interior mulai mau beradaptasi untuk menggunakan platform tersebut dalam pekerjaan masing-masing. Pada 2018, Manycore melebarkan sayap ke ranah internasional dan meluncurkan Coohom, platform yang membuat perusahaan mengumpulkan 22 juta pengguna hingga hari ini.

Bahkan pemasok kebutuhan interior rumah mulai melirik platform ini. Saat perusahaan keramik Marco Polo asal Cina memulai kemitraan dengan Coohom pada 2019, momen itu jadi langkah pertama digitalisasi bisnis Marco Polo di usianya yang ke-25.

Platform Coohom juga memungkinkan desainer Marco Polo menghasilkan desain produk terbaru secara efisien. Kemitraan ini menghasilkan dua keuntungan: membuat konsumen bisa mendapat gambaran yang lebih jelas tentang produk-produk Marco Polo, sementara para desainer Marco Polo jadi punya ruang untuk meningkatkan kemampuan desain masing-masing.

Wiz.ai: Membuat solusi AI sesuai kebutuhan tiap perusahaan

Tak jarang tiap orang menghadapi masalah yang spesifik untuk bisnis atau industri masing-masing. Bagi CEO dan Co-Founder Wiz.ai Jennifer Zhang, produk yang baik adalah yang dibuat bersama-sama dengan klien untuk mencapai tujuan perusahaan serta konsumen sekaligus bisnisnya.

Didirikan pada 2019, perusahaan rintisan Singapura ini menggunakan machine learning, automatic speech recognition, dan natural language processing untuk membangun solusi engagement dalam bentuk smart voice AI. Implementasi dari produk ini memungkinkan perusahaan-perusahaan dari berbagai industri–mulai dari keuangan dan perbankan, hingga logistik dan e-commerce–mengganti call center mereka dengan chatbot berbasis suara.

Kolaborasi dengan konsumen dimulai dari serangkaian workshop kreatif. Kegiatan ini dilakukan untuk memahami dan mengidentifikasi cara penggunaan terbaik pada bisnis para konsumen, kata Zhang.

Jennifer Zhang, CEO and co-founder at Wiz.ai (baju hijau), dengan timnya.
 

“Dari sini, kami memetakan titik kontak dalam keterlibatan konsumen yang paling umum, sehingga dapat diotomatisasi menggunakan voice AI,” tambahnya. “Kami kemudian bekerja sama dengan para pemangku kepentingan internal untuk menentukan cakupan talkbot, mengintegrasikan Wiz.ai ke dalam sistem yang ada, dan melakukan beberapa kali pengujian untuk memastikan produk bekerja dengan lancar.”

Pada Desember 2020, Wiz.AI bekerja sama dengan Carro untuk meluncurkan talkbot. Tool yang dapat membantu marketplace mobil berbasis di Singapura ini melakukan automasi proses penjualan aktif serta panggilan ke konsumennya. Talkbot ini mampu menangani hampir empat kali panggilan lebih banyak daripada manusia, dan menghasilkan tingkat respons konsumen yang serupa, hingga Carro mampu memanfaatkan 20.000 prospek potensial yang sebelumnya tidak tertangani.

Faktanya, talkbot sulit dibedakan dengan suara manusia. Zhang mengatakan bahwa sering kali konsumen menyampaikan terima kasih kepada talkbot ketika mengakhiri pembicaraan.

Labster: Solusi edtech dari Eropa ke Amerika Utara

Saat Covid-19 mendorong para warga dunia untuk bekerja dan belajar dari jarak jauh, startup edtech Denmark Labster berada dalam situasi yang penuh tantangan. Perusahaan mencoba untuk memenuhi kebutuhan sekolah di pasar terbesarnya, Amerika Utara, sementara mereka berbasis di Eropa.

“Itu adalah waktu yang sangat intens,” kata Michael Jensen, pendiri dan CEO Labster. Saat sekolah-sekolah ditutup, perusahaan menanggapi fenomena tersebut dengan memperluas cakupan bisnis yang awalnya terfokus pada mahasiswa. Kini Labster juga menyasar siswa sekolah menengah.

“Kami sangat yakin dengan menggratiskan sebagian besar produk kami, manfaat dari membangun awareness (terhadap produk kami) akan berdampak positif untuk kami dalam jangka panjang,” jelas Jensen. Strateginya berhasil. Dalam beberapa minggu, lebih dari 50.000 guru telah mendaftar ke Labster.

Mads Tvillinggaard Bonde, founder dan executive chairman dari Labster (kiri), and Michael Jensen, founder dan CEO

Karena sekolah harus dimulai kembali dari rumah sesegera mungkin, Labster hanya punya waktu 2 minggu untuk melatih dan mengajari 2 juta siswa dan ratusan guru.

Untuk mengatasi rintangan ini, Labster memperkenalkan program fleksibel yang melibatkan webinar dan pelatihan harian. Program ini memungkinkan guru dan administrator sekolah untuk masuk dan keluar sesi sesuai dengan jadwal masing-masing. Ini menghasilkan peningkatan penggunaan sekitar 20 kali dibandingkan periode yang sama tahun lalu, kata Jensen. Ke depan, Jensen mengincar kawasan berkembang seperti pedesaan Afrika, di mana infrastruktur untuk konektivitas internet masih terbelakang.

“Simulasi dan teknologi kami dirancang untuk akses bandwidth yang sangat rendah, hanya butuh sekitar 50 MB untuk mengunduh [konten],” kata Jensen. Ia menambahkan bahwa hal ini membuat Labster sebagai kandidat sempurna untuk area dengan konektivitas internet yang tak merata. Siswa bisa menggunakan koneksi 3G atau Edge untuk mengakses simulasi Labster.

Mengingat pelatihan berbasis video yang sering kali menggunakan bandwidth yang besar, solusi data-friendly dari Labster membuat pendidikan lebih mudah diakses oleh banyak orang.

Manycore, Wiz.ai, dan Labster adalah perusahaan portofolio di bawah GGV Capital. Untuk mengetahui lebih lanjut tentang pendanaan dan dukungan yang ditawarkan perusahaan modal ventura kepada perusahaan portofolionya, kunjungi situs resminya di sini.


Konten ini diproduksi oleh Tech in Asia Studios dalam partnership dengan GGV Capital 

(Artikel ini pertama kali dipublikasikan dalam bahasa Inggris. Isi di dalamnya telah diterjemahkan dan dimodifikasi oleh Dini Utomo sesuai dengan standar editorial Tech in Asia Indonesia. Diedit oleh Iqbal Kurniawan)

 Source: Tech In Asia 




29
May
Featured Articles
Singaporean Wiz.ai bags USD 6 million in a pre-Series A round
Wiz.ai plans to develop its conversational AI technologies and expand teams in Southeast Asia.

The Singapore-based AI company Wiz.ai on Friday announced that it completed a USD 6 million pre-Series A funding round, led by GGV Capital. Also participating were Wavemaker Partners, ZWC Partners, Insignia Ventures, and the Orion Fund, which is managed by K3 Ventures. The company said that it aims to expand the company’s product offerings and grow its teams in Southeast Asia.

Founded by Jennifer Zhang in 2019, Wiz.ai has deployed conversational AI technologies within large corporations in Southeast Asia. The firm’s focus is to adapt AI solutions for ASEAN languages. Its offices in Singapore, China, and Jakarta are housing a growing team of scientists, researchers, linguists, and dialogue designers.

“Through improved AI chatbot technologies, conversational AI will revolutionize call center functions and improve customer engagement,” Zhang said in a press statement. “Deploying these technologies in businesses across Southeast Asia requires a deep understanding of local languages, culture, and the business landscape, so we continue to bring in exceptional talent from the region to our diverse team of experts in conversational AI.”

The company finds that a key challenge is the capturing and processing of insights from interactions with customers. Wiz.ai says it’s able to cut costs while improving service levels with personalized inbound and outbound calls in English and other languages like Bahasa.

“People typically think of a talkbot as just an automated mouth. Wiz.ai’s talkbot also has the ears and the brain to form a complete solution,” said Paul Santos, managing partner at Wavemaker Partners.

This article was written by Written by Cindy Silviana and Published on KrASIA


28
Apr
Featured Articles  ·  Main Display  ·  Main Posts
SBR Technology Excellence Awards 2021 recognises Singapore’s most innovative companies

As the COVID-19 pandemic continues to reshape the global business landscape, the question has shifted from how companies can survive the restrictions to how they can adjust and thrive despite the crisis. It’s not just the “survival of the fittest”, but it’s now the “survival of the smartest”. Companies that create smart innovations that propel business growth, or those that spearhead technological advancements that defy convention and mediocrity allow them a more secure footing amidst the uncertainties that the crisis brings. It is also these businesses that deserve recognition for their remarkable achievements in technology.

Following social distancing and safety guidelines, Singapore Business Review has awarded these enterprises at the SBR Technology Excellence Awards 2021 held via individual studio and virtual presentations throughout the second and third week of April.

Now in its third year, the awards programme lauds the country’s most outstanding companies that are riding the digital disruption wave and leading the technological revolution and digital journeys of their respective industries.

This year’s winners were judged by an elite panel that includes Daryl Pereira, Head of Cyber at KPMG; Cheang Wai Keat, Partner, Consulting at Ernst & Young Advisory Pte. Ltd.; Henry Tan, Group Chief Executive Officer and Chief Innovation Officer at Nexia TS; Sivakumar Saravan, Senior Partner at Crowe Singapore; Cecil Su, Director, Head of Cybersecurity of BDO Singapore.

Congratulations to the winners!
  • AI – Automotive Services
  • 21 United Holdings Pte Ltd
 
  • Digital – Engineering
  • ABB Pte Ltd
 
  • Digital – Travel Services
  • Accenture
 
  • Facial Recognition – Financial Services
  • ADVANCE.AI
 
  • Digital – Life Insurance
  • AIA Singapore
 
  • Cloud – Oil & Gas
  • Air Liquide, APAC
 
  • Digital – Remittance
  • Aleta Planet
 
  • Digital – Health Products & Services
  • Align Technology
 
  • Fintech – Payments
  • Atome
 
  • Robotics – Health Products & Services
  • Avalon SteriTech Limited
 
  • Digital – Chemicals
  • AVIENT COLORANTS SINGAPORE PTE. LTD.
 
  • Analytics – Life Insurance
  • Aviva Ltd
 
  • Mobile – Telecommunications
  • Better.SG
 
  • Enterprise Software – Apparel
  • Browzwear
 
  • Software – Startup
  • Canapii
 
  • Augmented & Virtual Reality – Telecommunications
  • CITIC Telecom CPC
 
  • Cloud – IT Services
  • Cloud4C
 
  • Biotechnology – Health Products & Services
  • CooperVision Singapore
 
  • Fintech – Mergers & Acquisitions
  • Datasite
 
  • Robotics – Warehouse
  • Dematic & Bolloré Logistics
 
  • Blockchain – Metals & Mining
  • Digix Global
 
  • Digital – Real Estate
  • Far East Organization
 
  • Blockchain – Logistics
  • Freightchain Technologies Pte Ltd
 
  • Digital – Healthcare
  • Fullerton Health
 
  • Fintech – Trading Services
  • Futu Holdings Limited
 
  • Digital – Logistics
  • GeTS Asia Pte Ltd
 
  • Cybersecurity – IT Products
  • Group-IB Global Private Limited
 
  • Online Services – Real Estate
  • Huttons Asia Pte Ltd
 
  • Augmented & Virtual Reality – Manufacturing
  • IBM Manufacturing Solutions Pte Ltd
 
  • Big Data – Advertising
  • iClick Interactive Asia Group Limited
 
  • Fintech – Payment Cards
  • IDEMIA
 
  • Mobile – Healthcare
  • IHH Healthcare Singapore
 
  • Digital – Financial Services
  • IMTF BANKING SOFTWARE PTE LTD
 
  • Software – Energy
  • INOVAANTAGE PTE LTD
 
  • Cybersecurity – IT Services
  • Insightz Technology Pte Ltd
 
  • Cloud – Financial Services
  • IPC Systems, Inc.
 
  • Software – Computer Software
  • JobKred Private Limited
 
  • SIEM – Computer Software
  • LogRhythm
 
  • AI – Computer Software
  • Luminance
 
  • Nanotechnology – Automotive & Transport Equipment
  • Nanofilm Technologies International Limited
 
  • IoT – Education
  • Nanyang Technological University
 
  • Enterprise Software – Media & Entertainment
  • Nintex
 
  • API – Business Insurance
  • NTUC Income Insurance Co-operative Limited
 
  • Mobile – Life Insurance
  • NTUC Income Insurance Co-operative Limited
 
  • Robotics – Commercial Real Estate Trust
  • OTSAW Digital Pte Ltd
 
  • IT Storage – IT Services
  • Pure Storage
 
  • Mobile – Human Resource Technology
  • Qualee Technology Pte Ltd
 
  • AI – Financial Services
  • Refinitiv Labs Asia
 
  • Information Management – Non-Profit or Government Organizations
  • REVEZ Corporation Ltd
 
  • Analytics – Banking
  • SAS Institute
 
  • Robotics – Logistics
  • Schenker Singapore Pte Ltd
 
  • Cybersecurity – Network
  • SentinelOne
 
  • Software – Internet/New Media
  • Shootsta
 
  • Analytics – IT Services
  • SIFT Analytics Group
 
  • AI – Banking
  • Standard Chartered Bank
 
  • Computing – Aerospace
  • Stratus Technologies
 
  • Augmented & Virtual Reality – Engineering
  • Surbana Jurong Consultants Pte Ltd
 
  • Software – Shipping
  • SVM Solutions and Technologies Pte. Ltd. (Solverminds)
 
  • Information Management – Metals & Mining
  • Syniti Asia Pacific & Japan
 
  • Cloud – Retail
  • Tencent
 
  • AI – Telecommunications
  • Tetherfi
 
  • Mobile – Brokerage
  • Tiger Brokers (Singapore) Pte Ltd
 
  • IoT – IT Services
  • Tracesafe Asia Pacific Pte Ltd
 
  • Mobile – Transportation
  • Transit Link Pte Ltd
 
  • Fintech – Payment Invoicing
  • Uqpay Technology (SG) Pte. Ltd.
 
  • Network and Broadband – Telecommunications
  • VIAVI Solutions
 
  • AI – Customer Experience
  • WIZ HOLDINGS PTE. LTD. 
 
 This article was published on Singapore Business Review 

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