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Capture more than an mp3, video, or flat transcript – unlock the power of Conversational Intelligence with Dubber AI.

Conversational Intelligence: beyond basic recording and transcription to an enriched data-set of words, speakers, emotions, languages, and themes. With these meaning-enriched data sets, users can create and trigger real-time automated actions and workflows.

Download our Dubber AI whitepaper to find out:

• How to unlock comms channel data silos with Unified Conversational Recording
• How we embed Dubber AI into every conversation; to hit compliance mandates, plus fuel revenue, people, and customer intelligence
• What’s under the hood in Dubber AI & the Voice Intelligence Cloud
• Use cases & best practices for Dubber AI-enhanced conversational analysis & actions – improve customer experience, boost employee performance, heighten fraud detection, and more

Capture conversations, enrich with AI for the full picture, surface dataset insights in real-time, and create trigger-based actions on conversations as they happen.

Here’s how Dubber AI does it.

Are your Zoom conversations compliant?

Don’t get lost in the midst of manually trawling through your team’s conversations making sure they’re adhering to compliance regulations – keep a scalable system of record with Dubber.

With today’s compliance challenges, can you really afford to turn a blind eye to the risks of non-compliance in your business?
Read our guide on a more in-depth look into how we’re prioritising surveillance with Zoom conversations:

• Solving compliance problems with Unified Conversational Recording (UCR)
• Why small and large businesses are recording their Zoom conversations
• Legacy Call Recording Vs Unified Conversational Recording
• 15 Conversational Recording imperatives

Download the guide now to help your business enhance sales performances, drive operational efficiency, improve customer service, and help reduce costs significantly- all compliantly.

The Australian Refrigeration Council turned to Dubber for better staff training, to monitor the quality of contact centre calls and collect the evidence it needs to deal with abusive calls.

The ARC operates a call centre where employees help tradespeople and other specialists apply for new licences and renew existing licences. It’s the main point of contact for the organisation.

IT operations manager Andrew Growcott says at first the ARC deployed Dubber call recording in the Melbourne-based call centre. There’s a team of about 18 staff who handle around 1100 calls each week. They wanted recordings to track the quality of customer interactions and also to help deal with abusive calls when they happened.

Why ARC Chose Dubber

Andrew says ARC found Dubber when searching online for call recording systems. He liked the fact that Dubber is an Australian-based business and that the service is available from Telstra and runs on their calling system, Telstra TIPT. He says it was easy to deploy and get started.

Before it used Dubber, managers were able to listen in on calls for training purposes. If an abusive call came in, they might jump on the line, but often by the time the manager was involved, the caller had calmed down so the conversation was missed. There was no recording or transcription.

Staff training

Team leaders review calls for staff training purposes. If someone reports an issue, they’ll focus on that call, otherwise they pick calls to review at random. The team leaders will sit with staff members and help train them on how they can handle calls better and how to answer certain questions.

“It helps us identify who is lacking knowledge in certain areas and needs more training”, Andrew says.

Visibility during COVID lockdown

In normal times they all work in the main building, however during lockdown the people worked from home. Dubber, which works in the cloud and records at the carrier network level, was able to go on recording all incoming calls as normal. That’s not something on-premise recording systems are able to do. This meant team leaders still had access to every call without interruption.

Dealing with abusive calls

Sometimes the call centre receives abusive calls from customers that might be unhappy with the cost or frustration with the licence process.

Team leaders use Dubber to review the calls and either coach staff in how to better handle difficult customers or so the manager can follow up with the customer.

Expanded use

Since first deploying Dubber, the ARC has expanded its use and recording now covers almost everyone in the business.

Andrew says: “We looked at how well recording went in the call centre and decided to expand the recording to everyone in the business. If managers get abusive calls forwarded to them we can now track that whole interaction. Letting everyone record means we can now review the calls and decide how to deal with them.”

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Data is what runs an enterprise. If you don’t believe it, just take a look at your business financials. But we’ve come a long way from just analysing revenue and spend. There’s now the opportunity – and business imperative – to look at all business data. And what greater goldmine of information than the conversations within your business, with your partners, with your customers, and with the public?

“Data Masters enjoy 22% higher profitability, 70% higher revenue per employee, and 245% higher fixed asset turnover over their peers”
– Data Mastery, Capgemini.

Turning conversations into meaningful business data is the first hurdle. Leveraging that data is the next. Here are the common challenges faced by enterprises in harnessing the power of conversational data sets.

Challenge: Legacy technologies have fragmented datasets 

“80% of data producers and consumers regularly have data quality issues.”
– The State of Data Quality in 2021, Datafold.

Data is locked in legacy systems and often incomplete

Organisations have been using legacy, on-site and even manual technologies to record, store, transcribe and annotate voice conversations. With these solutions, archives may be limited and the data itself limited (e.g. only sound files stored, manual and incomplete data tags).

Data is usually fragmented across multiple channels/systems

Legacy systems generally only capture one channel at a time, which is no longer useful when considering that we now operate across call centres, Zoom, mobile, and more. There may be a number of different systems across different channels, each with its own data, views, and storage formats. This siloed effect means conversational data is fragmented.

Solution: Unified Conversational Recording technology

Bringing together conversational data in a centralised location across all the different channels is imperative – where it can live as one standard dataset. While some channels may lack particular data points (e.g. voice calls won’t have a video recording), the data across channels and services will be standardised. This data needs to be instantly portable so that it can be used in other business applications.

Challenge: Lots of data is required for AI to be accurate (maybe more than you have)

“There is a difficulty of obtaining data sets that are sufficiently large and comprehensive to be used for training.”
– Driving impact at scale from automation and AI, McKinsey

Industry-specific (e.g. Financial Services regulation) or domain-specific (e.g. Sales) context and dialects

Industry, domain and company-specific context and dialects aren’t always understood immediately by AI – it needs the right metadata, direction and training. For example, in Australia’s new internal dispute resolution regulatory guide for financial services businesses – ‘RG 271’ – the directive is that these businesses need to acknowledge complaints and respond within given timeframes. But what does a complaint necessarily look like in a conversation? Is it the word ‘complaint’, an angry tone of voice, or a specific utterance? Are there cultural conversational identifiers that indicate a complaint?

Solution: Capture everything, using NLP to learn your business language

Using NLP to do a deep dive into your conversational data is the only way to be able to address these type of specific business needs. Being able to acutely examine tone, sentiment, and regional differences is the key to actually understanding your employees and customer base. Without conversational metadata and NLP in circumstances like this, you’ll be left in the dark. Once you have all the right data, AI can do its job properly.

Challenge: Leveraging the cloud to reduce time to value

“The hybrid cloud platform can deliver value to the business by enabling digital transformation, giving it the best from the public cloud and on-premises infrastructure services, and transcending the corporate boundary.”
– The Business Benefits of a Hybrid Cloud Platform, DXC.technology

Some large organisations are still in the early stages of their cloud strategy implementation, and may still be working out or piloting solutions to find the best-fit and economics for their hybrid model. This complexity and legacy infrastructure limits the pace at which the organisation can change.

Solution: Look to cloud-native solutions that can integrate with legacy infrastructure

No matter where you are in your cloud maturity across the enterprise, what you can do is ensure new enterprise solutions like Conversational Intelligence are themselves cloud-native by design with the ability to integrate with your existing legacy solutions. While other cloud migration activities may take time, you can benefit from new cloud-native solutions immediately.

Challenge: Innovating with the data  

“Accompanying any technological shift is a change in tools, processes, and equally as important, people and behaviour. Even with the most cutting-edge technology and well-documented processes, users need to feel empowered to adopt modern BI solutions, as they are the ones who will drive insight-driven decision making.”
– Modern Business Intelligence, Deloitte.

Many enterprises are still focused on creating data assets – which is great, but doesn’t create value in and of itself

Yes, getting quality, complete, clean datasets is a significant priority. But alone, this data is only useful to data workers – who need directives and business questions from leadership, departments, and individuals to make sense of the data.

Solution: Develop strategic plans for what to do with the data

Make a start building the business capabilities to leverage data

Leveraging business data is where leaders in business are streaking ahead. This equates to data workers, data-ingesting applications and strategic plans and roadmaps for analysis, reporting, and automation of business data. Learning how to use data effectively is the first step.

Ultimately, organisations want to empower every employee to be able to use data insights to drive efficiencies and answer relevant complex business questions in their work.

Equally important is changing culture and ways of working

Data and insights are historically hidden in organisations, only accessed by managers or disclosed quarterly. Data capture activities have been mysterious. By opening up the visibility of capture and useful real-time insights to a wider audience, we’re able to change the culture within the organisation to feel empowered by, and trust, business data.

This trust component also underpins technology program rollouts. Workflows and automations built on business data need to be used to have effect. When leadership falters on directives and messaging, employees default to known processes. While hesitancy in revolutionary technology is natural, the business benefits you’ll gain can’t be disrupted by a 2010 mindset.

Are enterprises today ready to harness the power of conversational data sets?

Technology-forward businesses have made great strides in leveraging conversational data sets, but for the rest, there is still foundational work to be done. Picking the right technologies, using the right data, and – most importantly – knowing how to put that data to work is the path to success.

The use of artificial intelligence in sales has been increasing in popularity as it facilitates customer service or sales professionals to concentrate on more important work, as machines do the ‘busy work’.

While AI promises to do much to boost sales productivity and effectiveness, most are still in the earliest stages of realising its benefits According to The AI Dossier survey 2021, 74% of businesses are still in the AI experimentation stage and only 26% of businesses focus on deploying high impact AI use cases at scale.

Here are six ways to improve your sales outcomes using a conversational intelligence service – like Dubber – to analyse and action call, chat and video conversations. And implement successful strategies to improving retention, training, and customer experience.

What is voice intelligence?

Voice intelligence uses artificial intelligence (AI), in the shape of machine learning, natural language processing (NLP), and real-time speech recognition to analyse calls, and digital conversations.

Dubber’s voice intelligence comes in the form of a specialised Unified Conversational Recording platform. Dubber’s UCR enables organisations to be more efficient in the management of their day to day communications and learn more from customer conversations. From automating note-taking to detecting customer sentiment, conversational intelligence is ending not knowing in businesses of every kind.

1. Don’t miss a conversation

As we say at Dubber: record, replay and reveal.

Having a solid foundation for Unified Conversational Recording (UCR) is essential for capturing, storing, and centralising your customer sales interactions.

Recording every voice, video, text, and chat across any communication device and end-point is where your sales will see an improvement. This enables you to catch sales conversations and turn them into actionable insights – seeing where you can drive an increase in revenue and retention.

Conversational Intelligence and UCR are two quintessential pieces in capturing recordings. These conversations are where 80% of the most crucial conversations with customers and employees occur.

2. Get the full picture with intelligent transcription and search

By complimenting Dubber’s advanced AI and natural language processing with multi-vendor AI technologies – live transcriptions can help seal the deal in your team’s sales conversations.

Here’s how the sales team and managers use Dubber’s live transcriptions:

• Always have context as to the previous conversation
• Understand the customer — know their requests, interests or boundaries
• Verify orders and T&Cs — key to effectively resolving future issues and disputes
• Note important details — stay focused and save time with the notes automagically connected to your CRM platform
• Use transcriptions to coach and train staff
• Monitor advice provided in line with compliance regulations

Take advantage of our advanced features to automatically detect the dominant language spoken.

Let’s say: A customer mentions she previously spoke to an employee about a different plan but can’t remember which plan it was. Easily search transcripts to find precisely which plan your employee suggested- without wasting any time.

3. Learn more about customer and employee sentiments

Sometimes we can have a hard time reading people’s emotions- especially when you’re not face-to-face.

With Dubber’s AI sentiment insight, you can now know what your team and customers are saying, feeling and needing. This is a distinct advantage to the growth of your sales as the tone analysis helps sales reps provide a consistent and compliant delivery. Boosting satisfaction and customer experience increases the chances of consumers making another purchase by 89%.

Dubber AI sentiment analytics combined with machine learning and NLP to save you time conducting employee call evaluations.

It analyses the spoken words in conversations by:

• Categorising them as positive, neutral, or negative
• Labelling calls against seven emotions
• Identifying the dominant language spoken

Let’s say: You have a new employee and they are trying to push a sale but are coming across as abrasive to the customer. The customer is frustrated and angry but you can use this information to help the sales rep work on their communication skills.

4. Search, filter and find across all conversations in real-time

Frantically searching for that customer interaction transcript from a week ago? Look no further than quick, elastic and instant search within Dubber.

Save stress and time with instant search results from real-time recordings by team members or customers. Dubber extracts information and insights from the conversation and categorises and organises the context.

You can apply the filter on the search function to specify:

• Team member
• Day/Time
• Keywords
• Tags
• Phone number

Show that you’re attentive to detail. Utilise quick cross-referencing on the go, verify accounts, or see what type of service, plan or products the customer is currently using. You’ll avoid chasing tails and save the customer from having the same conversation.

Let’s say: David is the best sales rep in your team. When training a new employee, you can filter and search all, or some of David’s calls for training and coaching purposes.

5. Get notified and stay on top of monitoring conversations

Sometimes we can find mistakes or red flags a little too late with legacy call recording, resulting in a loss.

Rest assured with Dubber’s real-time alerts and notifications you’ll stay ahead and be ready to diffuse situations when specific words and phrases are triggered.

You’ll be able to:

• Create notifications from a negative sentiment
• Alert on critical sales terms e.g “Not interested”
• Alert immediately or at the end-of-day summary

Utilise these options to get a leg up on your competitors – create an immutable record of best interests efforts by gaining insight from prospective customers and what your opponents may be offering. As well as trends emerging, or if a sales script just isn’t resonating with customers- you’ll know.

Let’s say: You’ve set an alert every time a customer says “not comfortable” and identify that many of the instances refer to when a customer says “not comfortable with sharing those details over the phone”. You can work out that this might be a common concern and highlight PCI compliance and security measures in marketing messaging.

6. Offer safe and easy payment options  

People are more aware and definitely more sceptical of giving out personal information these days. As your sales conversations travel into confidential territory, you could be at risk of losing revenue if customers are reluctant to give out sensitive information via phone or video.

But here’s where you get the upper hand — Dubber’s PCI DSS solutions have enabled billions of dollars over phone payments globally. All data is encrypted and stored within the produced region, guaranteeing data compliance.

Encourage your team to communicate to the clients that:

Dubber’s Voice intelligence assures you that the PCI solutions hosts secure payment platforms that intercept any card data from entering your contact centre environment – basically bulletproof!

Let’s say: You’re speaking to a customer and they wish to pay a bill over the phone using a credit or debit card. Rather than asking them to read aloud their details, they type in their payment card details using their telephone keypad with a PCI compliant voice intelligence solution.

Improve sales while ensuring internal company policy compliance

With Gartner estimating that remote workers will represent 32% of all employees worldwide by the end of 2021, keeping conversations compliant can be very hard to oversee. But with Dubber, you have effortless yet total visibility of all your team’s conversations all in one place.

Managers use voice intelligence to ensure the team adheres to internal policies and collects data from customer insights that can be used to their advantage. This will drive team and sales performance to new lengths. Managers use voice intelligence as a tool:

• Save time monitoring and reviewing calls
• Enable teams to meet sales targets
• Manage and store conversations from teams

Let’s say: Your manager is reviewing your conversation with a customer and they identify a missed opportunity for you to make a sale. They playback said instance to you and utilise for coaching.

One of the most exciting and significant advancements of AI in sales is the development of voice intelligence. As you can see, voice intelligence and UCR software offer teams, managers, and organisations the upper hand. Hopefully, you’ll get some good ideas from this and pick up on some critical features of Dubber’s voice intelligence and apply them to your business.

Look forward to knowing your customers and expediting sales!

“By 2025, 75% of conversations at work will be recorded and analyzed, enabling the discovery of added organizational value or risk.”

Gartner’s prediction, one we quote often, comes from the Top 10 Strategic Predictions for 2021 and Beyond: Resetting Everything. The paper is one that clever CIOs use to help shape their company’s strategic plans, capturing trending societal, business, and technological changes to ensure successful business advantage going forward.

So what does this mean for business and government over the coming years?

Conversational Intelligence is a powerful tool, but one that needs strategic direction to have the most significant impact on business. 

Map timelines for successful business outcomes with these three key goals.

1. Meet compliance mandates and decrease risk

“In 2020, penalties have totalled $10.6 billion for non-compliance with Anti-Money Laundering (AML), Know your Customer (KYC), data privacy and MiFID (Markets in Financial Instruments Directive) regulations.” – Up Close and Personal; The Year of Personal Accountability, Fenergo

Hitting compliance mandates is the lowest-hanging fruit for strategic planning in Conversational Intelligence today. It is possible to satisfy compliance mandates and legislation in voice conversations within company, industry, affiliative, and regional requirements today with Conversational Intelligence.

With growing business data and information security overheads and reporting mandates across all sectors, business voice conversations also need capturing to ensure compliance. Unified Conversational Intelligence is the only solution.

To do this effectively, companies must ensure:

• The unified conversational intelligence solution records all relevant in-person and remote voice conversations – it needs to do so with appropriate controls in place and without ties to specific applications, rather as a service
• Recordings, transcriptions, and conversational data and metadata sets are stored in accordance with relevant data security requirements and timelines
• Conversational Intelligence data is quickly searchable, replayable and reportable
• A unified conversational data set is secured, protected and managed to the same standard as all datasets

Phase two of creating business outcomes – whether for compliance, revenue, people or customer intelligence – is to present multi-dimensional insights such as instant notification of breaches or risky activities, flagging keywords (e.g. ‘offshore’, ‘cancel’, ‘unhappy’) or behaviours (e.g. angry customer).

2. Conversational Intelligence value streams aligned to business strategy are identified and actioned

“It’s the opportunity to take your existing product line and market it better, develop it better, use it to improve customer service, or to get a 360-degree understanding of your customer. Data Strategy is driven by your organization’s overall Business Strategy and business model.” – Data Management vs. Data Strategy: A Framework for Business Success, Donna Burbank, Managing Director at Global Data Strategy

The problem facing leaders is that the applications of Conversational Intelligence in business are near-endless. Aligning your Conversational Intelligence focus with key areas already outlined in your strategic plan (or digital transformation strategy) is where you gain the most value from this technology. The same goes for any data-generating activities.

Here are two areas of business improvement identified in a strategic plan and how Conversational Intelligence can help.

Increase productivity in sales revenue

Conversational Intelligence can sit in on sales with every call, every meeting, every ‘coffee catch up.’ From these conversations, it’s easy to identify the tactics, scripts, keywords and emotional indicators that help close sales with customers – and re-train employees to follow successful strategies.

Improve customer experience

If your goal is to increase customer lifetime value via loyalty born of great CX, you need insights on your customer interactions. Rather than ‘How’d we do’ emails, you can automatically analyse all customer interactions (for both customer and employee) to identify where improvements can be made. This could identify key pain points in business for customers and how to solve them, when employees need to be coached due to their manner, or which topics are taking up considerable amounts of time and how to rectify that.

3. From data insights to Intelligent Automation

“While there is investment in IA broadly, only 10 percent of respondents are integrating solutions across its various dimensions: automation, artificial intelligence and smart analytics. While initial fragmentation of efforts is not to be unexpected, organizations need to move quickly to understand how, when and where to integrate efforts across technologies to fully optimize their potential.” – Easing pressure points: The state of intelligent automation, KPMG

Automation should be deployed throughout the business for operational efficiencies – and Conversational Intelligence is a tool that can be used to identify where automation opportunities lie.

For instance:

• Repeated keywords across a wide customer base can identify areas for switching over to web-based self-service to free up operator time
• Action items mentioned in video meetings automatically create and assign tasks in project management systems
• Competitor and product mentions can trigger on-the-fly competitive product analysis reports to display on screen for employees to speak to during the conversation

Creating intelligent automation throughout the business based on data requires significant thought and ongoing investment, but simply can’t be ignored – it’s time to action.

Let’s talk

Conversational Intelligence is available now with Dubber – a cloud-native, compliant, fully scalable solution available across all your usual communication channels. We go beyond basic voice recording and transcriptions to an enriched dataset of words, speakers, emotions, languages, and themes. With these meaning-enriched datasets, you can create and trigger real-time automated actions and workflows. Start planning your roadmap to doing more with your business data with Conversational Intelligence & Dubber.

Let’s chat.

How unified call recording and voice AI can help you comply with certainty

From October 5 new regulations will cover how financial service companies handle complaints.
Regulatory Guide 271 lays out what companies need to do. The Australian Securities and Investments Commission (ASIC) is in charge of the reforms. It’s guide is an updated set of obligations for internal dispute resolution (IDR) and replaces the existing RG 165.
In this paper we’ll further explore what the regulations mean for financial services firms and how new unified call recording and voice AI technologies can help you comply quickly and cost-effectively.

There’s a new Chief Technology Officer at Dubber! Introducing Steve Willson.

Fresh from his time as CTO of Great Southern Bank, Australia’s largest customer-owned bank, Steve Willson has joined Dubber to guide our industry-leading technology and key technical relationships.

With a long list of executive tech roles at some of Australia’s largest financial institutions, plus time in London fintechs, Willson strengthens Dubber’s position as a key player in conversational intelligence for every government and business.

The value in Dubber

Willson speaks about why he chose Dubber as his next move.

“I was attracted to the massive potential of Dubber’s technology to create value for clients globally. Recording is really just the tip of the iceberg; the greater opportunity is to leverage the data to help clients improve their businesses and customer experience.”

“As I see it, there are four key value levers businesses need to focus on moving forward from a technology perspective, and that Dubber already does across voice conversations: 

• Radical improvements in productivity eliminating what I call busy work, which is preventing employees/business owners/agents from focusing on value-creating activities.
• Greater control, visibility and transparency – whether that be capturing knowledge, decisions or evidencing compliance.
• Differentiated products and experiences for your customers.
• Unification of conversational data so that it can be leveraged to provide insights and inform decisions”

The impact of Covid on technology as an accelerant

While Covid has caused significant hurdles for business and government worldwide, it has also rapidly accelerated digital transformation.

“At a macro level, I think that COVID has accelerated digital disruption rather than changed it, it has necessitated increased take-up of digital products and services and customers’ expectations of digital experiences are higher than ever. 

Similarly, employees now expect (and need) advanced technology that makes it easy to work from anywhere.”

“This has created a push to many large (and usually slow) organisations to do things differently, such as responding to technical challenges in days, not weeks or months. It has also provided the means for businesses to break through cultural barriers that have prevented greater take up of these technologies in the past.”

“In the new normal – if we can call it that – ‘work’ is being done anywhere. This makes sharing, collaboration, productivity and clarity of conversations more than ever, with an office-home-remote hybrid work model likely for most businesses.”

“Dubber is – I think – a critical technology in underpinning our new way of working.”

End not knowing

“AI, NLP, machine learning and a raft of technologies are central to ending not knowing in every business and government. As data grows exponentially it’s not plausible or possible for humans to see the signals in the noise. Applying AI to unified data sets is going to be a crucial building block for the success of any enterprise activity – whether it’s knowing your customers and employees, complying, or improving the accuracy of supply chains.”

“The way Dubber is doing this is impressive, from disrupting the high-cost, siloed world or legacy call recording to harnessing its own AI advances alongside those of leaders like IBM, Amazon and others.”

“I’m passionate about the tech sector and have supported many fintech partnerships in my enterprise executive roles, so I’m excited about the opportunity to play a more active role in the Aussie and global tech community with Dubber. Joining what is the clear leader not just here, but also globally, is incredibly exciting.”

We’re excited to have Steve onboard.

3 Actions Compliance Leaders Must Take

For many, the rapid acceleration of digital transformation has made already challenging regulatory complexity even more difficult. New ways of communicating and ever-increasing digital transactions generate even greater data sets requiring surveillance and compliance monitoring.

Against this backdrop, compliance and surveillance leaders face a more familiar set of challenges – unravelling regulations, reducing costs and driving productivity. The answer – in part – doesn’t lay in yet another set of tools or applications but rather in establishing more robust data sets on which artificial intelligence, machine learning and natural language processing can surface new levels of intelligence.

Conversation data is not just necessary – in many cases, it’s a regulatory requirement.

The role of AI and Machine Learning

Instead of relying on human analysis of trends to try and spot aberrant behaviours, true AI solutions are needed to create proactive signals of risk – and accelerate time to data and insights.

33% of financial institutions are increasing their AI capability over the past year, and 57% deployed, piloting, or planning to deploy AI & Machine Learning solutions for AML over the next 12-18 months.

Underpinning this is a shift from surfacing insights based on what happened to using behavioural insights to understand what might happen next. As workforces have become dislocated from the workplace, managerial insight based on day-to-day interactions has become more difficult. Conversational intelligence can signal behavioral shifts enabling managers to engage, coach and guide employees to the right practices.

Today, knowing your employee is as important and knowing your customer.

Modernising GRC: 3 actions compliance leaders must take

1. Record every conversation, across all channels

It’s not enough to just record conversations on one application, when interactions between employees and customers are occurring across call centres, mobile, and chat.

What is required today is a single window into all conversations – a Unified Conversational Recording platform and, if you want it to scale without barriers, it needs to live in the cloud – all compliantly, with inbuilt data security.

For example, Don Anderson, chief information officer (CIO) at the Federal Reserve Bank of Boston, noted in 2019 that ignoring the cloud may even “introduce new security vulnerabilities as on-premises vendors discontinue support for their products.”

How you record is as important as what you record. Creating a comprehensive data set with rich conversational recordset to satisfy KYC and AML also has to be done in a way that satisfies GDRP and PCI.

2. Replay instantly when non-compliant calls come through

Can you capture non-compliance as it happens? With triggers on sentiment like an angry customer, or an alert that goes off when a representative mentions the word ‘cash’, you can quickly head off incidents before they escalate or wind up getting buried in an avalanche of data. This type of natural language processing is essential in modern compliance operations, where you are expected to be able to respond in real-time.

3. Reveal insights across the organisation

While every conversation has the potential to be powerful, or non-compliant – or hopefully just helpful and archivable – being able to glean not just individual Conversational Intelligence insights, but cumulative insights on this data will give key indicators on your organisational health.

For instance, you’ll be able to tell whether departments are sticking to their scripts. Whether staff are spending too long on certain topics that could be addressed by a knowledge base. If certain staff are bringing up topics again and again that seem out of the ordinary. There are infinite possibilities to mine the data for both proactive compliance and operational efficiency.

Beyond Compliance

Compliance and surveillance data sets are amongst the most trusted in any business – but they also can alleviate the pain felt across financial institutions.

KYC procedures are also straining relationships with customers; for instance, the time taken to bring a new client on board continues to increase. And employees are challenged to receive the same level of guidance, coaching and training that was once part of their daily interactions in the workplace.

Conversational data – recordings, insights and workflow automation provide a much needed answer for both. The big opportunity and key benefit is data quality, with multiple conversational sources contributing to a single, secure and compliant system of record.

“At a time when risk management leaders are being asked to process greater amounts of data in shorter amounts of time—often amid budget and staff constraints—cloud computing could unlock considerable benefits. It can help risk teams react rapidly to changes in the external environment and dive deeper into the analytics life cycle to better understand the drivers of risk, all without major capital expenditures.” – Mckinsey

Dubber’s Compliance Editions put compliance teams in front of the right content, data insights, and actions for conversations across the entire organisation. Take a look at how a Swiss Private Bank Identifies Rogue Operators & Compliance Breaches With Dubber, or talk to us about how we can help your compliance team become more effective with Dubber.

Make sure to join us and other industry leaders for the AML & KYC APAC Virtual Event on October 28, 2021, to learn about the latest AML & KYC developments and how to protect your organisation from criminals, mitigate risks, ensure compliance and accelerate your digital transformation.

September 29 is World Heart Day, a day dedicated to raising international awareness around the cause and prevention of Cardiovascular Diseases (CVD), a cause close to Dubber.

CVDs are the leading cause of death globally, resulting in an estimated 18.6 million deaths a year, and about 520 million people living with a CVD today. CVD affects the heart and blood vessels, resulting in coronary heart disease, cerebrovascular disease, rheumatic heart disease or other conditions.

As CVDs come in many forms, so do its causes – smoking, high blood pressure and high blood cholesterol are key risk factors for heart disease. Other medical conditions and lifestyle choices can also increase the risk of heart disease including; diabetes, overweight and obesity, unhealthy diet, excessive alcohol use, or air pollution.

Save a Child’s Heart & Dubber

For two years, Dubber has been a proud sponsor of Israeli humanitarian organisation, Save a Child’s Heart.

Save a Child’s Heart (SACH) is an international organisation that provides life-saving surgery to children suffering from heart disease from countries where access to pediatric care is limited or nonexistent. So, every day is World Heart Day with SACH.

For 25 years they’ve saved the lives of nearly 6000 children from 63 countries around the world. From these countries, 50% of the children come from the Palestinian Authority and Gaza, Iraq, and Morocco. More than 40% of the children are from Africa, and the remainder are from Asia, North and South America, and Eastern Europe.

SACH medical professionals

The ultimate goal for Save a Child’s Heart is to enable equal opportunity for life-saving surgery for children with CVD. One of SACH’s programs is taking on medical professionals from developing countries and providing them post-graduate training in all facets of pediatric cardiac care in order to provide sufficient treatment in their own communities.

SACH trained professional and Ethiopia’s first pediatric cardiac surgeon, Dr Yayu Mekonnen addressed Dubber in celebration of the organisation’s 25th anniversary.

Inspired by an experience that shaped his career, Dr Yayu shared an anecdote of why he became a pediatric cardiac surgeon and why he loves what he does.

“When you provide this procedure at the right time, you change the course of this child’s life forever. They will be normal kids and are able to do whatever they want in life now.” – Dr Yayu Mekonnen

Use heart to connect ❤️

As the world struggles to fight COVID-19, it’s put pressure on us to be cautious of our own health, as well as the safety of those around us. With this new wave of vigilance, World Heart Day’s theme is around Using a heart to connect. 

At Dubber we can vouch for a more mobile and modernising way of connecting with people, especially through digital platforms and telehealth. Use heart to connect is about harnessing our knowledge and influence in order to spread accurate information about heart health to our communities and loved ones.

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