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Generative AI

25
Sep
Featured Articles  ·  Main Display  ·  Main Posts  ·  Pengenalan Talkbot  ·  Press Release  ·  Teknologi Voice AI
WIZ.AI Melansir Large Language Model (LLM) Dasar Pertama di Asia Tenggara untuk Bahasa Indonesia, Memperkuat Representasi Asia Tenggara di Segmen AI Arus Utama
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SINGAPURA, 14 September 2023 /PRNewswire/ — Pada 13 September lalu, pemimpin industri global asal Singapura yang menyediakan solusi interaksi pelanggan omni-channel (omnichannel customer engagement) dengan dukungan kecerdasan buatan generatif (Generative-AI), meluncurkan 13 miliar parameter Large Language Model (LLM) yang dirancang khusus untuk Bahasa Indonesia. LLM bahasa Indonesia ini dilansir WIZ.AI setelah peluncuran 7B Foundation Model dan Enterprise LLM untuk domain spesifik di awal tahun ini. Langkah tersebut menjadi pencapaian penting di pasar Asia Tenggara yang kini mengadopsi Large Language Model-nya sendiri, serta meningkatkan perkembangan di sektor AI regional.

Peluncuran LLM bahasa Indonesia oleh WIZ.AI juga mendorong komunitas AI internasional agar lebih mengutamakan LLM untuk bahasa-bahasa lokal di Asia Tenggara. Lewat langkah ini, bahasa dan representasi budaya Asia semakin dikenal di kalangan LLM arus utama (mainstream LLM). “Kami sangat senang sekali dapat melansir Large Language Model regional yang pertama di Asia Tenggara. LLM ini menciptakan berbagai peluang bagi pelaku bisnis di kawasan tersebut. Kami juga menyambut baik dampak transformatif dari LLM tersebut,” ujar Jennifer Zhang, CEO dan Salah Satu Pendiri WIZ.AI.

Sebagian besar LLM yang telah tersedia dilatih dengan data dan sumber materi dari dunia Barat. Di sisi lain, LLM WIZ.AI dilatih dengan 10 miliar token bahasa Indonesia. Metode ini menjaring nuansa linguistik dan konteks budaya di Indonesia sehingga dapat mendatangkan hasil yang lebih relevan secara kontekstual.

Model LLM WIZ.AI mengungguli LLM dasar bahasa Indonesia lainnya dalam Hugging Face Open Leaderboard, tolak ukur penting dalam evaluasi LLM.

Penilaian awal atas kinerja LLM WIZ.AI juga menunjukkan hasil yang menjanjikan. Dibandingkan 13B LLM arus utama, misalnya, LLM WIZ.AI dapat melampaui kinerja 13B LLM bahasa Indonesia dalam seluruh metrik penting. Keunggulan kinerja LLM WIZ.AI terlihat jelas dari indikator Hellaswag (commonsense inference) sebesar 33%, disusul sejumlah indikator lain, yakni ARC (reasoning challenge) dan TruthfulQA sebesar 20%, serta MMLU sebesar 7%.

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Performance Evaluation in Bahasa Indonesia between WIZ.AI LLM and Llama 2

Dibandingkan 70B LLM arus utama, kinerja LLM WIZ.AI juga unggul dalam tiga metrik penting bahasa Indonesia dengan rata-rata 4%, termasuk ARC (reasoning challenge) , Hellaswag (commonsense inference), dan
TruthfulQA.

Kinerja LLM WIZ.AI bahkan melampaui LLM arus utama di domain spesifik, seperti perbankan, keuangan, dan e-commerce. Ketika diminta untuk mencantumkan bank terbesar di Indonesia, LLM arus utama menyajikan daftar bank secara umum. Di sisi lain, LLM WIZ.AI memberikan jawaban yang tepat, serta mampu mencantumkan daftar bank terbesar dengan data terkini dan deskripsi lengkap.

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Response Comparison between WIZ.AI LLM and Llama 2

LLM WIZ.AI sepenuhnya dikembangkan di pasar lokal, serta dirancang untuk aplikasi berstandarkorporasi. Lebih lagi, LLM WIZ.AImenawarkan fitur analisis data “berstandar korporasi” (enterprise-grade), serta respons cepat dan keamanan yang lebih baik. Setelah penyempurnaan dan optimasi, LLM WIZ.AI bekerja 2,5 kali lebih cepat seperti 13B LLMarus utama. Sementara, kinerja cepat ini tidak mengurangi aspek privasi dan keamanan. LLM WIZ.AI memiliki sistem keamanan berstandar korporasi yang melindungi informasi dan data sensitif. Sistem keamanan ini juga menjamin penggunaan data yang hanya dibatasi untuk pengembangan dan pemeliharaan LLM.

Kehadiran LLM bahasa Indonesia akan membuat bahasa Indonesia semakin dikenal. Saat ini, LLM bahasa Indonesia hanya tersedia untuk penggunaan komersial. Namun, WIZ.AI tengah merencanakan peluncuran versi terbuka (open-source) untuk publik. “Kami memimpin inisiatif ini guna mengembangkan ekosistem LLM yang dinamis. Dalam ekosistem tersebut, pemain utama AI, peneliti AI, dan penggemar AI akan bekerja sama mengembangkan inovasi LLM dan AI di Indonesia. Mereka juga akan memperkenalkan bahasa Indonesia dalam AI arus utama, serta meningkatkan pengaruh pasar Asia Tenggara di pasar global,” kata Jennifer Zhang.

Dengan jangkauan luas di pasar Asia Tenggara, WIZ.AI selalu membuktikan komitmennya pada kawasan ini lewat inovasi dan ekspansi bisnis. Hingga kini, WIZ.AI telah menyediakan dan menerapkan solusi korporasi yang didukung AI bagi lebih dari 200 klien di Asia Tenggara, meliputi industri penting termasuk perbankan dan keuangan, asuransi, telekomunikasi, FMCG, dan E-commerce. Lebih lagi, WIZ.AI membantu klien menjawab tantangan dalam penggunaan dan penyediaan AI.

Ke depan, WIZ.AI ingin gencar melaksanakan strategi LLM dan memperluas jangkauan LLM dasar untuk bahasa-bahasa lain di Asia Tenggara. Bahkan LLM bahasa Thai telah memasuki fase pelatihan. Di sisi lain, WIZ.AI akan tetap menyempurnakan Enterprise LLM untuk domain spesifik agar memenuhi kebutuhan industri, serta mendorong inovasi AI regional lewat solusi LLM mutakhir yang berstandar korporasi, serta model dasar yang inovatif.

LLM WIZ.AI kini tersedia bagi klien perusahaan yang terpilih. Anda dapat mengajukan permohonan penggunaan LLM tersebut untuk dipertimbangkan dan disetujui oleh WIZ.AI: https://www.wiz.ai/llm-access-request/

Tentang WIZ.AI
WIZ.AI, pemimpin industri global asal Singapura yang menyediakan solusi interaksi pelanggan omnichannel (omnichannel customer engagement) dengan dukungan Gen-AI, membuat terobosan dalam komunikasi B2C. Terobosan ini hadir dalam solusi omnichannel customer engagement yang mutakhir dan sangat personal. Didukung ahli teknologi lokal, platform pintar WIZ.AI memfasilitasi lebih dari 100 juta interaksi pelanggan secara otomatis dalam setiap jam. Solusi WIZ.AI mewujudkan layanan pelanggan dan ROI bisnis terbaik. Dengan jangkauan internasional yang kianluas, WIZ.AI melayani lebih dari 200 klien di berbagai industri yang tersebar di 15 negara. Sebanyak 60% klien WIZ.AIberasal dari perusahaan yang tercantum dalam daftar “Fortune 500” dan usaha rintisan bervaluasi di atas $1 miliar (unicorn start-ups)


20
Sep
Featured Articles  ·  Main Display  ·  Main Posts  ·  Talkbot Basics  ·  Voice AI Technology
How Voice AI is Rapidly Driving Customer Growth

As digital transformation reshapes industries, companies are increasingly leveraging artificial intelligence (AI) to reimage their business operations. Among various AI technologies, voice AI-powered omnichannel engagement solution stands out as a powerful tool, as it enables businesses to automate huge amount of phone conversations while delivering hyper-personalized communication based on customer reactions. Today’s customers prefer this kind of direct human connection to address their queries and concerns in real time. In this article, we’ll delve into how Voice AI, particularly WIZ.AI’s TalkGPT, is revolutionizing customer engagement, leading to rapid customer growth for businesses.

The power of voice AI for customer growth

Nothing beats a human voice conversation when it comes to engaging customers and driving growth. Telemarketing has been a classic yet popular marketing choices for many busienesses. It delivers instant interactivity and feedback that emails, ads, messages, or website visits simply can’t match. Customers tend to give phone conversations their full attention. They listen to brands’ offerings, ask questions, and provide valuable intent signals, allowing for personalized follow-ups. It’s these real-time insights into customer needs that enable impactful conversations and drive greater customer growth.

Voice AI solutions can mimic this kind of natural and real-time human interaction well. Utilizing Automatic Speech Recognition (ASR), Natural Language Processing (NLP) and Text to Speech (TTS), voice bots can really understand how people talk and stimulate human-like interactions based on customer reactions. They respond appropriately to questions and objections, capturing key insights and identifying high value leads for human agents to follow up. More importantly, voice AI allows companies to engage audiences on a massive scale, i.e. millions of calls in a few hours. The bots can work around the clock to spread out time-sensitive promotional offers and filter high-potential leads.

This perfect balance of automation and personalization empowers businesses to scale their outreach and create human connections that is critical for gaining trust and buy-in.

Introducing TalkGPT: a game changer for customer engagement

TalkGPT is a self-service generative AI-powered talkbot by WIZ.AI. It is a game-changer in proactive outbound customer engagement. With zero set-up cost and quick deployment, businesses can build and launch customized Talkbot campaigns that provide human-like and automated phone conversations at scale, in just a few minutes.

Tired of relying on professional support for every script tweak? With TalkGPT, you are in complete control. Quickly tailor conversations to your branded voices and optimize results, no code or AI experience needed. Such rapid adaptability is crucial in situations that require constant iterations in marketing messages or during A/B testings to identify the most effective approach.

High scalablity with human touch

The power of TalkGPT: real-life use cases

TalkGPT provides conversation templates based on known best practices. Businesses can leverage these handy templates and quickly draft campaign messages. Companies can also add a FAQs list. With the list added, TalkGPT can smartly pull answers from FAQs during live conversations, when asked relevant questions.

Based on our conversations with clients, we found TalkGPT is particularly effective in two main scenarios: running promotional campaigns and filtering leads.

Scalable promotion campaigns

Capitalizing on flash sales and limited-time offers is key for boosting conversions. But ensuring your time-sensitive promotions reach customers quickly at scale remains a challenge. TalkGPT delivers targeted promotional messages on scale(up to 1 million in an hour), based on purchase history and CRM data. Real-time intent collection allows for tailored follow-ups to interested prospects.

The bot also handles hesitant customers well. By probing why these people are undecided, TalkGPT uncovers key insights to further define them with a “neutral” or “not interested” tag. The insights can be leveraged to refine future campaign targeting and messaging.

Conversation script between a TalkGPT bot and a human customer in more detail. The car insurance company also added FAQs for the bot to handle customer queries.

Lead filtering

TalkGPT can be a powerful ally for human agents when selling high-value products such as property or insurance. By making initial calls and asking qualification questions, TalkGPT can identify high-value customers and pass them to human agents for follow-up via calls or WhatsApp.

Overwhelmed by too many leads? TalkGPT provides fast, intelligent lead filtering to focus on what matters. With advanced natural language capabilities, our bots conduct personalized conversations to qualify prospects in real-time. They can engage up to 1 million leads in an hour, capturing key details like budget and transaction intent to instantly categorize hot, warm and cold leads. This takes the manual grunt work out of lead analysis while reactivating warm leads. With voice AI handling initial outreach, human agents can follow up on qualified, sales-ready leads.

Language support and data analytics

TalkGPT offers multilingual support, including English, Bahasa, Taglish, Thai, Australian English and more to come, making it a versatile tool for local enterprises as well as businesses operating in multilingual markets.

The product isn’t just a communication tool; it’s also a data powerhouse. It offers insights into call data, customer behaviors and intentions. Businesses can find out insights such as how many people picked up the calls, how many showed interest, and when customers are most available for calls.

Elevate TalkGPT’s outreach impact on WhatsApp

Seamlessly blending AI conversational ability with instant messaging, TalkGPT’s integration with WhatsApp provides businesses with an omnichannel solution to engage and convert modern customers. Here are a few ways businesses can integrate TalkGPT with WhatsApp to offer nuanced, personalized interactions on a large scale.

Trackable campaigns for maximizing conversions

TalkGPT calls allow interactive introduction of brand offerings, such as membership benefits. WhatsApp messaging then delivers the direct membership registration link. When a potential customer clicks the link to register, this action will be calculated as a successful conversion. This end-to-end experience creates a seamless journey for customers, from initial awareness to final conversion, thereby optimizing campaign performance.

On-demand details via WhatsApp

For complex products like credit cards and investment plans, TalkGPT provides a consultative overview over phone calls. Customers can then request full details sent via WhatsApp for later review. This caters to different consumers’ preferences while capturing every potential lead.

Automated information collection

Customers can ask queries during a TalkGPT call. Subsequent follow-up will then continue on WhatsApp. Questions and responses on WhatsApp are automatically compiled into an organized sheet, ready for businesses to review.

Act now for our time-limited offer

You’ve seen the power of our voice AI-powered omnichannel engagement solution to transform customer engagement. Starting today through September 30th, we’re providing 500 minutes of FREE calls plus a no-obligation free trial of our full service!

Don’t wait – this unprecedented offer does not last long. Click here to register immediately and unlock voice AI capabilities that will revolutionize your businesses.


14
Sep
Featured Articles  ·  Main Display  ·  Voice AI Technology
Mitigating Biases: Building Inclusive AI Products

With generative AI gaining more and more popularity, AI bias has become a major concern. We’ve noticed high-profile cases of algorithms exhibiting stereotypical thinking such as on race and gender. However, biases can manifest in subtle ways beyond the obvious. In this article, we would like to firstly discuss two less visible biases, then delve into how we can avoid these biases by embracing inclusive datasets and hyper-localized and personalized solutions.

Uncover the overlooked biases

Selection bias

This bias occurs when lacking diversity to represent all users. It stems from overlooking outliers and minorities. For example, mainstream large language models (LLMs) today are predominantly pre-trained from English text, limiting AI advancements to English-speaking environments. And even in the English-speaking world, an AI system that is trained on US English data may possibly fail to recognize slang words or phrases in the UK, Australia or Singapore.

Popularity bias

This bias occurs when AI algorithms are built based on popular choices only. Popular choices from the majority become the only visible choices. This risk excluding people who make less mainstream choices. For instance, an e-commerce platform’s AI algorithms might only recommend bestsellers, neglecting niche interests.

Crafting responsible and inclusive AI

To mitigate the biases, we need broader sourcing and sampling to capture true diversity, embrace localized and personalized solutions that avoid majority defaults. At WIZ.AI, we are committed to making AI inclusive for all, which is an indispensable part for us practicing responsible AI.

Hyper-localized solutions for diverse consumers

With an established and growing presence across the Southeast Asian markets, the challenge for WIZ.AI from day one is that the region is fragmented both geographically and linguistically. To help enterprises and their consumers easily and inclusively access our generative AI-powered customer engagement solutions requires multilingual capabilities. We embed hyper localization in our products’ DNA, such as in our flagship Talkbot. The smart bots can understand multiple languages and even dialects, including Bahasa Indonesia, Thai, Taglog, Singlish, etc. This ensures our Talkbots to have barrier-free conversations with diverse consumers in the region.

LLMs-powered hyper-localization

Our hyper-localization effort includes training localized LLMs too. We just launched LLM for Bahasa Indonesia, and our LLM for Thai is under training. During LLM training, we fed the model diverse real-world customer conversation calls, reflecting local culture, dialect and language contexts in actual applications and scenarios and minimizing selection bias.

An interesting finding revealed by our R&D team, LLMs’ learning ability, actually made the training easier and faster than traditional AI models’ training. In reality, being inclusive is very difficult. There can always be minority and missing cases. For example, one of our enterprise clients offers hundreds of cigarette brands. For local Indonesians, they can have multiple ways to refer to a single one of these brands. In the past with traditional AI training, we had to always feed all varieties of naming a brand during the training stage for the system to understand the saying in actual conversation. However with LLM, if we find out a new nick name locals give to a brand, we can inform LLM that “new nick name = X brand” in a prompt, the LLM can instantly pick up this new knowledge without the need to be trained all over again.

Capturing cultural sensitivity

Besides languages, we are also taking local cultural norms into consideration. When we first launched our Talkbot in Indonesia for debt collection use cases, we had a straightforward and honest tone for the Talkbot. For example, our bot may simply tell Indonesian consumers that if they are late for repayment, they can be disqualified for BNPL(buy now, pay later) service or their account on the e-commerce platform will be shut down. As people in Indonesia don’t consider this direct approach to be rude.

Later, when we launched the product in Thailand, we strategically revised the conversation tone to be more polite and friendly. When Thai users may be late for their repayment, our bot may simply remind them that there can be negative consequences for their credit. This is because Thai people tend to place a high value on courtesy and avoid confrontation in daily interactions.

Never let any user feel excluded

When we feel products are not right for us or simply a bit “off”, it could indicate overlooked perspectives in product design. At WIZ.AI, we try our best to avoid these “off” moments and design our products to cater for diverse users.

Inclusion of vulnerable groups

On the back-end, there is no human training required for our Talkbot, neither are customers forced to adopt digital self-service solutions on the front-end. The Talkbots work well on various telecommunication mediums like traditional landline telephones, analogue phones, and smartphones, ensuring that all segments of our enterprise clients’ customer base are effectively covered.

For example, one of our enterprise clients in the Philippines has hundreds of mom-and-pop stores as their distributors across the country. These store owners, most being elderly people, usually have difficulty using the online booking system to order items on smart phones. Some of them don’t even have a smart phone. In the past, the enterprise client had to send human agents to each of these stores every week to collect orders in person. Now with our smart Talkbots, the client can give automated calls to these shop owners over telephones for order collections, saving vast human effort on a weekly basis.

Inclusive knowledge base

To create an inclusive knowledge base to train AI, WIZ.AI’s experts used to devote days to studying real-life customer service recordings, and brainstorm possible conversation scenarios in particular use cases. Considering users are returning products as an example, how many different ways of expressions might they have? Now with LLMs’ empowerment, we get to generate hundreds of possible expressions and conversation scenarios in seconds, enabling a truly inclusive knowledge base!

Prior to deployment, the WIZ.AI team always conducts extensive user testing to gather feedback. The goal is to create a solution that is effective, inclusive and enjoyable across customer segments for our enterprise clients, providing a memorable and positive experience.

Building an inclusive culture

We believe products reflect who builds them. Having broad representation enables holistic perspectives. With this in mind, WIZ.AI hires local talents in our technology, product management as well as customer experience teams across the ASEAN region, including Singapore, Indonesia, Philippines, Thailand and Malaysia.

Towards a future with democratized AI access

At WIZ.AI, we are continuously innovating to democratize AI access and make AI solutions inclusive for all. As we enter the era of AGI, we remain committed to developing AGI solutions for enterprise users worldwide and expanding AI access for our customers. Only through embracing diversity can AI enable a fair and equitable future.

In the near term, our LLM for Bahasa Indonesia will soon open for tests and is considered to be open source in the future. Further developments will focus on feeding even more diverse types of data, including Indonesia’s many local dialects and everyday slang.

Want to explore how WIZ.AI’s generative-AI powered, hyper-localized and omnichannel solutions can empower your customer engagement at scale? Talk to our experts today.


Reference:

Joyce Chou, Roger Ibars, Oscar Murillo. Microsoft. In Pursuit of Inclusive AI. Retrieved from: https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RWEmS3
Google. Responsible AI practices. Retrieved from: https://ai.google/responsibility/responsible-ai-practices/
Personal Data Protection Commission (PDPC) of Singapore, Compendium of Use Cases: Practical Illustrations of the Model AI Governance Framework. Retrieved from: https://www.pdpc.gov.sg/-/media/Files/PDPC/PDF-Files/Resource-for-Organisation/AI/SGAIGovUseCases.pdf


13
Sep
Featured Articles  ·  Main Display  ·  Press Release
WIZ.AI Unveils Southeast Asia’s First Foundation Large Language Model (LLM) for Bahasa Indonesian, Amplifying Regional Representation in Mainstream AI

On September 13th, WIZ.AI proudly unveiled its 13 billion-parameter Large Language Model (LLM) tailored specifically for Bahasa Indonesia. This release comes out shortly after its release of the region’s first 7B Foundation Model and domain-specific Enterprise LLM earlier this year, marking a significant milestone for the Southeast Asia market as it embraces its very own Large Language Model and takes a leap forward in the region’s AI advancements.

The launch of WIZ.AI’s Bahasa Indonesia LLM also marks a tremendous step towards encouraging the international AI communities to focus more on LLMs for Southeast Asian languages, further amplifying the Asian language and cultural representation in the mainstream LLMs. “We are thrilled to introduce Southeast Asia’s first regional Large Language Model. Our LLM opens up new possibilities for business in the region, and we are excited to see its transformative impact.” said Jennifer Zhang, CEO and co-founder of WIZ.AI.

While the prevalent LLMs are primarily trained on Western data and materials, WIZ.AI’s LLM is trained on an expansive 10 billion Indonesian tokens. This captures the linguistic nuances and cultural contexts of the region, leading to more contextually relevant outputs.

WIZ.AI’s LLM model outperforms Llama 2 in Bahasa Indonesia, according to the Hugging Face Open Leaderboard, the authoritative benchmark for LLM evaluation.

A preliminary assessment of WIZ.AI’s LLM performance is already promising. Compared with Llama 2-13B for example, WIZ.AI’s LLM beats its performance for Bahasa Indonesia across all key metrics. WIZ.AI’s LLM outshines especially in Hellaswag (commonsense inference ) by 33%, followed by ARC (reasoning challenge) and TruthfulQA by 20%, and MMLU by 7%.

Performance Evaluation in Bahasa Indonesia between WIZ.AI LLM and Llama 2

Compared with Llama 2-70B, WIZ.AI’s LLM also excels in three key metrics in Bahasa Indonesia by an average of 4%, including ARC (reasoning challenge) , Hellaswag (commonsense inference ) and TruthfulQA. 

WIZ.AI’s LLM particularly outperforms Llama 2-13B in domain-specific areas like banking, finance and e-commerce. When tasked with providing the largest bank in Indonesia, Llama 2-13B provides a general list of the banks, while WIZ.AI’s LLM has the answer spot-on, providing the largest bank with up-to-date data and a comprehensive description.

Response Comparison between WIZ.AI LLM and Llama 2

WIZ.AI’s LLM is entirely homegrown and engineered for enterprise-level applications, offering “enterprise-grade” data analysis capabilities, as well as rapid response and enhanced security. After fine-tuning and optimization, WIZ.AI’s LLM performs 2.5 times as fast as the Llama 2-13B. Meanwhile, fast speed doesn’t compromise on privacy and security. WIZ.AI’s LLM features enterprise-level security that safeguards sensitive information and data, assuring that data usage is limited to only developing and maintaining LLM. 

The advent of the Bahasa Indonesian LLM will definitely boost Indonesian presence. Currently exclusive to commercial use, plans are underway for an open-source public release. “We’re spearheading an initiative to build up an dynamic LLM ecosystem, where the regional AI key players, AI researchers and AI enthusiasts will come together to propel the LLM and AI innovation in the region, bring Bahasa Indonesian into the AI mainstream and enhance the Southeast Asian market’s impact on a global scale.” reiterated Jennifer Zhang.

With deep roots in Southeast Asia markets, WIZ.AI has consistently demonstrated its commitment to the region through its innovation advancements and business expansion in the market. To date, WIZ.AI has provided and deployed AI-powered enterprise solutions to over 200 clients across Southeast Asia, spanning key industries including banking and finance, insurance, telecommunications, FMCG, and E-commerce, empowering customers to resolve the challenges in last-mile AI adoption and delivery.

Looking ahead, WIZ.AI plans to double down its LLM strategy and extend the foundation LLM to other Southeast Asian Languages, with Thai already in the training phase. Meanwhile, the focus will remain on refining the domain-specific Enterprise LLM to better support industry use cases, aspiring to spur regional AI innovation with its cutting-edge enterprise LLM solution and pioneering foundation model.

WIZ.AI’s LLM is currently open for selected enterprise customers to use. Please submit your request here for review and approval: https://www.wiz.ai/llm-access-request/


28
Apr
Featured Articles  ·  Main Display  ·  Main Posts
WIZ.AI launches its groundbreaking Large Language Model for business verticals

SINGAPORE – Thursday 27th April 2023 – WIZ.AI, a Singapore-based AI-native leader in omnichannel customer engagement, today announced the launch of its first Large Language Model (LLM) that can be tailored for business verticals. This is the latest innovation in WIZ.AI’s constant growth as an AI-native company since its founding in 2019. WIZ.AI’s solutions automate hundreds of millions of customer interactions daily, serving over 200 businesses across diverse industries such as banking and finance, insurance, FMCG, e-commerce, telecom, and healthcare in more than 15 countries.

WIZ.AI’s launch of their groundbreaking domain-specific LLM redefines AI as more than just an efficiency and cost-saving tool, positioning it as a business advisor that bridges the gap between humans and technology. By using a custom, business-focused LLM, companies can unlock a new library of interconnected, AI-powered workflows. This promises to shape the future of work, with AI sitting alongside humans as a co-pilot. By having bespoke LLMs, businesses can fully embrace AI and use it to revolutionize their operations, propelling industries to new heights.

A first-of-its-kind enterprise large language model (LLM)

WIZ.AI’s LLMs, unlike general-purpose models, are designed for specific business verticals. Tailor-made LLMs excel in automated dialogues, tasks, intelligent assistance, and provide insights from proprietary data. They turn raw, industry-specific data into valuable information, allowing AI to work effectively alongside humans. Bots can identify critical role-related tasks, provide professional assistance, and automate business-specific processes.

Domain-specific LLMs by WIZ.AI provide enterprises with many key benefits that general purpose LLMs do not, namely:

      1. Reliability: WIZ.AI LLM offers enterprises a professional and accurate company-specific LLM, quickly updating frequently requested information and proprietary or brand-based information for optimal accuracy and timeliness.
      2. Domain Focus: Data that resides within the LLM are customized to specific industries or businesses. By having a bespoke LLM, businesses can quickly deploy AI solutions in multiple diverse scenarios, from internal employee onboarding to addressing customer queries.
      3. Data Security: WIZ.AI’s unique, in-house LLMs are exclusive to each specific customer, providing enhanced data confidentiality and security. This approach safeguards corporate clients’ sensitive information and business secrets, preventing information leakage and security risks.
      4. Intelligence and Analytics: Localized, custom LLMs can harness more nuanced insights from unstructured data including test and voice, because it understands your specific business context better. You gain a deeper understanding of customer needs, market dynamics, and potential opportunities for growth.
 

How WIZ.AI’s LLM impacts industries: An FMCG use case

WIZ.AI’s LLM can impact industries on several levels beyond the customer engagements it automates. Take the FMCG industry for example, by adopting a more proactive outreach approach for the client, WIZ.AI Talkbots helped upsell more stock-keeping units (SKUs). LLM enhanced accuracy in order-taking conversations while keeping it human-like, which greatly reduced the man-hours spent visiting clients for order-taking.

The order-checking process also benefits from WIZ.AI’s LLM, as it automatically reviews client feedback during dialogues and triggers re-confirmation to ensure accurate deliveries. Additionally, the deeper insights gleaned from unstructured dialogue data enable FMCG customers to improve their product and procurement processes. This comprehensive solution not only helps avoid SKU stockouts but also enhances gross merchandise value (GMV).

Empowering AI transformation

WIZ.AI aims to transition businesses from digital transformation to intelligence transformation, focusing on leveraging AI to automate complex tasks, improve decision-making processes, and integrate AI-driven analytics and insights for strategic planning and operational efficiency. By providing solutions in a Model-as-a-Service format, WIZ.AI makes its AI-based products more accessible to businesses of all sizes.

“The future of work is one where AI acts as a co-pilot, working seamlessly alongside humans. With our bespoke LLMs, businesses can fully embrace AI’s potential, revolutionizing their processes and propelling industries forward. Our vision is to create a world where customized AI solutions empower businesses to make smarter decisions, automate complex tasks, and drive meaningful insights.” shares Jennifer Zhang, CEO and co-founder of WIZ.AI.

This future is within reach, and promises to truly transform Southeast Asia – a breakthrough transformation driven by artificial intelligence.

Originally published on https://www.prnewswire.com/in/news-releases/wizai-launches-groundbreaking-large-language-model-for-business-verticals-301809039.html


03
Apr
Featured Articles  ·  Main Display  ·  Main Posts
WIZ.AI launches TalkGPT, ASEAN’s first ChatGPT-powered customer engagement solution for business

SINGAPORE, March 31, 2023 /PRNewswire/ — WIZ.AI, a global leader in AI-powered customer engagement solutions, launches TalkGPT, ASEAN’s first generative AI-enabled omnichannel solution for customer engagement. Designed to revolutionize customer outreach across industries, TalkGPT leverages ChatGPT’s large language model and WIZ.AI’s localized expertise, providing a smooth, omnichannel conversational experience.

In a few clicks, TalkGPT enables users to design dialogues for customer conversations that can be facilitated using WIZ.AI’s Talkbot solution that understands and responds to customers’ responses just like human agents.

TalkGPT is a self-service solution where users can create, test and deploy a ChatGPT-powered WIZ.AI Talkbot within 5 minutes. Campaigns can be implemented in just a few clicks. TalkGPT automatically generates dynamic call conversations and WhatsApp messages. The designed campaign communications are then delivered by the WIZ.AI Talkbot, the company’s flagship solution that understands and responds to customers’ responses just like human agents. These optimized customer engagements, based on proven practices that are informed by the ChatGPT language model, deliver persuasive and emotionally-tuned messages. The result is a more engaging conversational experience for end users and customers.

Because it is built on the foundation of WIZ.AI’s platform, TalkGPT can engage with over 1 million customers in just 1 hour. This makes TalkGPT a viable go-to solution for large-scale customer growth efforts. With TalkGPT, companies of any size can quickly engage with customers through various channels, leading to timely customer interactions and improved ROI. Key to TalkGPT’s accessibility to all kinds of businesses is its entirely self-service process of ideating, iterating, and implementing customer engagement campaigns.

 

New tech, same mission: revolutionizing customer engagement for businesses

“The technologies used may evolve rapidly as we see today with ChatGPT, but ultimately we are still focused on the same mission: offering businesses innovative ways to engage with customers through AI, solutions that can enhance efficiency, drive growth, and deliver an elevated customer experience.” shares Jennifer Zhang, CEO and co-founder of WIZ.AI. “Now everyone can be their own CMO. TalkGPT unlocks new content ideas and channels to reach their target customers.”

In Southeast Asia, there is a significant market potential for solutions like TalkGPT, as businesses seek to adopt more efficient and cost-effective ways of engaging with customers. With this latest customer engagement solution tucked into its portfolio, WIZ.AI is poised to further expand its reach and impact in the region. Many of WIZ.AI’s clients have already experienced up to 40% increase in engagement rates and 5.3x higher cost efficiencies from the WIZ.AI flagship Talkbot solution. Many of these businesses have plans to deploy WIZ.AI products to other business units and develop further use cases.

The possibilities for TalkGPT are numerous, with use cases ranging from promoting products and services to sending timely reminders to customers. For instance, businesses can use TalkGPT to announce promotional campaigns, new product launches, and other marketing initiatives. The solution can also send personalized and timely reminders to customers, reducing missed payments and appointments. Moreover, TalkGPT can also be used to send secure one-time passcodes via phone calls or messages, based on customer preferences.

Originally published on https://www.prnewswire.com/apac/news-releases/wizai-launches-talkgpt-aseans-first-chatgpt-powered-customer-engagement-solution-for-business-301786609.html




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