#api platform

[escapecart]

The Synergy between ChatGPT and Instagram: Level Up with AI

In today’s digital age, social media platforms have become powerful tools for individuals and businesses to connect with their target audience. Instagram, with its visually driven content, offers a unique opportunity for individuals to monetize their presence and build a profitable online business. With the advancements in artificial intelligence (AI), specifically ChatGPT, and the automation…

[amatsuki]

[flowersandbess]

Thinking of writing a fic between Tom and Greg to raise awareness of what’s happening with Reddit and their absolutely absurd treatment of third party apps

[kyccanada]

KYC Provider Canada

KYC is a mandatory process that financial institutions and other businesses follow to authenticate the identities of their customers. KYC Providers help and provide KYC API to verify users' and business identities. KYC Providers in the Canada also use various methods to verify identities, like id, document, and address verification.

[lukasagitta]

Back to MultiTab for Tumblr until they fix this stupid button but I have a feeling it’s working exactly as intended since the toggle indicates dashboard specifically…

[aretovetechnologies01]

Streamline Integration: Aretove Boomi Solutions & Support

We are a Boomi Partner with expertise in implementing and managing Boomi platform services like Atomsphere for Integration, Flow, Master Data Hub, B2B/EDI and API management across industries such as Retail, eCommerce, Construction, Manufacturing, Hospitality, Education, Healthcare, and Petroleum.

[botsailor]

BotSailor stop your Customer losing for no effort Chatbot Integration .

[priyashareindia9]

In the fast-paced world of trading, the integration of REST APIs with trading algorithms has become an essential tool for traders looking to enhance their strategies. REST APIs, or Representational State Transfer Application Programming Interfaces, allow seamless communication between different software applications. When integrated with trading algorithms, REST APIs enable traders to automate processes, access real-time data, and execute trades more efficiently.

[jcmarchi]

Ashish Nagar, CEO & Founder of Level AI – Interview Series

New Post has been published on https://thedigitalinsider.com/ashish-nagar-ceo-founder-of-level-ai-interview-series/

Ashish Nagar, CEO & Founder of Level AI – Interview Series

Ashish Nagar is the CEO and founder of Level AI, taking his experience at Amazon on the Alexa team to use artificial intelligence to transform contact center operations. With a strong background in technology and entrepreneurship, Ashish has been instrumental in driving the company’s mission to enhance the efficiency and effectiveness of customer service interactions through advanced AI solutions. Under his leadership, Level AI has become a key player in the AI-driven contact center space, known for its cutting-edge products and superior implementation of artificial intelligence.

What inspired you to leave Amazon and start Level AI? Can you share the specific pain points in customer service that you aimed to address with your technology?

My background is building products at the intersection of technology and business. Although I have an undergrad degree in Applied Physics, my work has consistently focused on product roles and setting up, launching, and building new businesses. My passion for technology and business led me to AI.

I started working in AI in 2014, when we were building a next-generation mobile search company called Rel C, which was similar to what Perplexity AI is today. That experience sparked my journey into AI software, and eventually, that company was acquired by Amazon. At Amazon, I was a product leader on the Alexa team, continuously seeking opportunities to tackle more complex AI problems.

In my last year at Amazon, in 2018,I worked on a project we referred to as the “Star Trek computer,” inspired by the famous sci-fi franchise. The goal was to develop a computer that could understand and respond to any question you asked it. This project became known as the Alexa Prize, aiming to enable anyone to hold a 20-minute conversation with Alexa on any social topic. I led a team of about 10 scientists, and we launched this as a worldwide AI challenge. I worked closely with leading minds from institutions like MIT, CMU, Stanford, and Oxford. One thing became clear: at that time, no one could fully solve the problem.

Even then, I could sense a wave of innovation coming that would make this possible. Fast forward to 2024, and technologies like ChatGPT are now doing much of what we envisioned. There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. But they were not necessarily tackling end-to-end workflows. We recognized this gap and wanted to address it.

Our first product wasn’t a customer service solution; it was a voice assistant for frontline workers, such as technicians and retail store employees. We raised $2 million in seed funding and showed the product to potential customers. They overwhelmingly requested that we adapt the technology for contact centers, where they already had voice and data streams but lacked the modern generative AI architecture. This led us to realize that existing companies in this space were stuck in the past, grappling with the classic innovator’s dilemma of whether to overhaul their legacy systems or build something new. We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform. 

My deep interest in the complexities of human language and how challenging it is to solve these problems from a computer engineering perspective, played a significant role in our approach. AI’s ability to understand human speech is crucial, particularly for the contact center industry. For example, using Siri often reveals how difficult it is for AI to understand intent and context in human language. Even simple queries can trip up AI, which struggles to interpret what you’re asking.

AI struggles with understanding intent, maintaining context over long conversations, and possessing relevant knowledge of the world. Even ChatGPT has limitations in these areas. For instance, it might not know the latest news or understand shifting topics within a conversation. These challenges are directly relevant to customer service, where conversations often involve multiple topics and require the AI to understand specific, domain-related knowledge. We’re addressing these challenges in our platform, which is designed to handle the complexities of human language in a customer service environment. 

Level AI’s NLU technology goes beyond basic keyword matching. Can you explain how your AI understands deeper customer intent and the benefits this brings to customer service? How does Level AI ensure the accuracy and reliability of its AI systems, especially in understanding nuanced customer interactions?

We have six or seven different AI pipelines tailored to specific tasks, depending on the job at hand. For example, one workflow might involve identifying call drivers and understanding the issues customers have with a product or service, which we call the “voice of the customer.” Another could be the automated scoring of quality scorecards to evaluate agent performance. Each workflow or service has its own AI pipeline, but the underlying technology remains the same.

To draw an analogy, the technology we use is based on LLMs similar to the technology behind ChatGPT and other generative AI tools. However, we use customer service-specific LLMs that we have trained in-house for these specialized workflows. This allows us to achieve over 85% accuracy within just a few days of onboarding new customers, resulting in faster time to value, minimal professional services, and unmatched accuracy, security, and trust.

Our models have deep, specific expertise in customer service. The old paradigm involved analyzing conversations by picking out keywords or phrases like “cancel my account” or “I’m not happy.” But our solution doesn’t rely on capturing all possible variations of phrases. Instead, it applies AI to understand the intent behind the question, making it much quicker and more efficient.

For example, if someone says, “I want to cancel my account,” there are countless ways they might express that, like “I’m done with you guys” or “I’m moving on to someone else.” Our AI understands the question’s intent and ties it back to the context, which is why our software is faster and more accurate.

A helpful analogy is that old AI was like a rule book—you’d build these rigid rule books, with if-then-else statements, which were inflexible and constantly needed maintenance. The new AI, on the other hand, is like a dynamic brain or a learning system. With just a few pointers, it dynamically learns context and intent, continually improving on the fly. A rule book has a limited scope and breaks easily when something doesn’t fit the predefined rules, while a dynamic learning system keeps expanding, growing, and has a much broader impact.

A great example from a customer perspective is a large ecommerce brand. They have thousands of products, and it’s impossible to keep up with constant updates. Our AI, however, can understand the context, like whether you’re talking about a specific couch, without needing to constantly update a scorecard or rubric with every new product.

What are the key challenges in integrating Level AI’s technology with existing customer service systems, and how do you address them?

Level AI is a customer experience intelligence and service automation platform. As such, we integrate with most CX software in the industry, whether it’s a CRM, CCaaS, survey, or tooling solution. This makes us the central hub, collecting data from all these sources and serving as the intelligence layer on top.

However, the challenge is that some of these systems are based on non-cloud, on-premise technology, or even cloud technology that lacks APIs or clean data integrations. We work closely with our customers to address this, though 80% of our integrations are now cloud-based or API-native, allowing us to integrate quickly.

How does Level AI provide real-time intelligence and actionable insights for customer service agents? Can you share some examples of how this has improved customer interactions?

There are three kinds of real-time intelligence and actionable insights we provide our customers:

Automation of Manual Workflows: Service reps often have limited time (6 to 9 minutes) and multiple manual tasks. Level AI automates tedious tasks like note-taking during and after conversations, generating customized summaries for each customer. This has saved our customers 10 to 25% in call handling time, leading to more efficiency.

CX Copilot for Service Reps: Service reps face high churn and onboarding challenges. Imagine being dropped into a contact center without knowing the company’s policies. Level AI acts as an expert AI sitting beside the rep, listening to conversations, and offering real-time guidance. This includes handling objections, providing knowledge, and offering smart transcription. This capability has helped our customers onboard and train service reps 30 to 50% faster.

Manager Copilot: This unique feature gives managers real-time visibility into how their team is performing. Level AI provides second-by-second insights into conversations, allowing managers to intervene, detect sentiment and intent, and support reps in real-time. This has improved agent productivity by 10 to 15% and increased agent satisfaction, which is crucial for reducing costs. For example, if a customer starts cursing at a rep, the system flags it, and the manager can either take over the call or whisper guidance to the rep. This kind of real-time intervention would be impossible without this technology.

Can you elaborate on how Level AI’s sentiment analysis works and how it helps agents respond more effectively to customers?

Our sentiment analysis detects seven different emotions, ranging from extreme frustration to elation, allowing us to measure varying degrees of emotions that contribute to our overall sentiment score. This analysis considers both the spoken words and the tonality of the conversation. However, we’ve found through our experiments that the spoken word plays a much more significant role than tone. You can say the meanest things in a flat tone or very nice things in a strange tone.

We provide a sentiment score on a scale from 1 to 10, with 1 indicating very negative sentiment and 10 indicating a highly positive sentiment. We analyze 100% of our customers’ conversations, offering a deep insight into customer interactions.

Contextual understanding is also critical. For example, if a call starts with very negative sentiment but ends positively, even if 80% of the call was negative, the overall interaction is considered positive. This is because the customer started upset, the agent resolved the issue, and the customer left satisfied. On the other hand, if the call begins positively but ends negatively, that’s a different story, despite the fact that 80% of the call might have been positive.

This analysis helps both the rep and the manager identify areas for training, focusing on actions that correlate with positive sentiment, such as greeting the customer, acknowledging their concerns, and showing empathy—elements that are crucial to successful interactions.

How does Level AI address data privacy and security concerns, especially given the sensitive nature of customer interactions?

From day one, we have prioritized security and privacy. We’ve built our system with enterprise-level security and privacy as core principles. We don’t outsource any of our generative AI capabilities to third-party vendors. Everything is developed in-house, allowing us to train customer-specific AI models without sharing data outside our environment. We also offer extensive customization, enabling customers to have their own AI models without any data sharing across different parts of our data pipeline.

To address a current industry concern, our data is not used by external models for training. We don’t allow our models to be influenced by AI-generated data from other sources. This approach prevents the issues some AI models are facing, where being trained on AI-generated data causes them to lose accuracy. At Level AI, everything is first-party, and we don’t share or pull data externally.

With the recent $39.4 million Series C funding, what are your plans for expanding Level AI’s platform and reaching new customer segments?

The Series C investment will fuel our strategic growth and innovation initiatives in critical areas, including advancing product development, engineering enhancements, and rigorous research and development efforts. We aim to recruit top-tier talent across all levels of the organization, enabling us to continue pioneering industry-leading technologies that surpass client expectations and meet dynamic market demands. 

How do you see the role of AI in transforming customer service over the next decade? 

While the general focus is often on the automation aspect—predicting a future where bots handle all customer service—our view is more nuanced. The extent of automation varies by vertical. For example, in banking or finance, automation might be lower, while in other sectors, it could be higher. On average, we believe that achieving more than 40% automation across all verticals is challenging. This is because service reps do more than just answer questions—they act as troubleshooters, sales advisors, and more, roles that can’t be fully replicated by AI.

There is also significant potential in workflow automation, which Level AI focuses on. This includes back-office tasks like quality assurance, ticket triaging, and screen monitoring. Here, automation can exceed 80% using generative AI. Intelligence and data insights are crucial. We are unique in using generative AI to gain insights from unstructured data. This approach can vastly improve the quality of insights, reducing the need for professional services by 90% and accelerating time to value by 90%.

Another important consideration is whether the face of your organization should be a bot or a person. Beyond the basic functions they perform, a human connection with your customers is crucial. Our approach is to remove the excess tasks from a person’s workload, allowing them to focus on meaningful interactions.

We believe that humans are best suited for direct communication and should continue to be in that role. However, they’re not ideal for tasks like note-taking, transcribing interactions, or screen recording. By handling these tasks for them, we free up their time to engage with customers more effectively.

Thank you for the great interview, readers who wish to learn more should visit Level AI.

[fidypayfintechapi]

How to Make Your Banking More Connected with API Banking India?

The banking and financial services industry in India has evolved at a staggering pace within a short duration of time. One of the trusted and innovative breakthroughs in the banking industry right now is API Banking. What is the impact of API Banking India on the delivery of banking services? 

The banking industry has to adapt to the emerging requirements of consumers alongside fighting against their competition for success. Interestingly, APIs have provided the opportunity for open banking, which would provide more personalized and seamless banking across different platforms. Let us learn more about how API banking works and its role in promoting connected or seamless banking. 

Definition of API Banking

Before you find out how API Banking encourages connected banking, it is important to learn the fundamentals of APIs in banking. APIs or Application Programming Interfaces can help third-party applications use a specific interface for accessing a general set of services and tools. Subsequently, multiple businesses or platforms could use banking services alongside offering the same services to their customers. 

In 2016, the Reserve Bank of India launched the Unified Payments Interface or UPI. It served as a major tool for enhancing the popularity of banking APIs. As a matter of fact, some of the top banks in India offer a broad assortment of API banking services in different categories. Third-party organizations and platforms could explore multiple ways of using banking APIs to their advantage. 

How Can APIs Enable Connected Banking?

The answer to the question points to the flexibility for serving customers who live away from the branch or the ones who prefer online banking. As the demand for online banking gains momentum, it is reasonable to believe that API Banking India will grow in the future. More people have been using financial technology applications in response to the global pandemic in 2020 and its aftermath. Banking API integration on fintech apps has emerged as a promising solution for accessibility of banking services. Businesses in the banking industry could connect with fintech businesses and use technical tools to improve accessibility of their services. 

APIs could enable connected banking as API services provide access to core banking data. As a result, APIs could help in removing barriers between businesses and ensuring that all of them can access the same data. Another important highlight which proves the capability of API banking for creating connected customer experiences is the integration of legacy systems with API banking. For example, an organization could integrate ERP systems with API banking for direct management of cash payables and receivables through their ERP. 

Is API Banking the Future?

The growing adoption of API banking is a sign of a major transformation in the banking industry. As the world of banking embraces new technologies, API banking provides an easy way for businesses to access banking services. With a simple API, businesses could leverage banking services alongside offering the same to their customers. As a result, customers would not rely on different payment gateways, and they could complete financial transactions directly on the platform. Call FidyPay at 6232082424 to learn more about API banking and find the ideal solutions for creating a new generation of seamless banking experiences. 

[shivam001sblog]

Whatsapp Business Solution Providers

WhatsApp Business Solution Providers offer essential tools and services to help businesses streamline customer communication, automate responses, and enhance engagement. In our blog, How to Choose the Right WhatsApp Business Solution Provider for Small Business, we guide you through the key factors to consider, including pricing, features, and integration options. Whether you're looking for automation, analytics, or multi-agent support, this blog ensures you find the perfect provider to meet your business needs. Discover expert insights to make an informed choice and unlock the full potential of WhatsApp for your small business.

[emmaameliamiaava]

Why Every Developer Needs an API Monitoring Dashboard for Real-Time Insights

In today’s fast-evolving digital landscape, APIs (Application Programming Interfaces) are the backbone of modern software development. They enable seamless communication between applications, services, and devices, allowing businesses to deliver enhanced functionality and integrations. However, as the reliance on APIs increases, ensuring their smooth operation becomes crucial for developers. This is where an API monitoring dashboard becomes indispensable.

In this blog, we’ll explore why every developer needs an API monitoring dashboard for real-time insights and how it can improve the API development process.

The Importance of Monitoring APIs in Real-Time

When developing an API, it’s not just about building and deploying it; maintaining its performance and reliability is equally critical. APIs can experience performance bottlenecks, latency issues, downtime, or security vulnerabilities, all of which could impact user experience. Monitoring your API in real time allows you to proactively identify and address these problems before they escalate.

An API monitoring dashboard provides a centralized platform where developers can track the health and performance of their APIs. This tool not only helps in detecting issues but also offers real-time insights into how the API is being used, making it an essential part of any developer’s toolkit.

Key Benefits of an API Monitoring Dashboard

1. Real-Time Alerts and Notifications

APIs are subject to downtime or failures that could impact business operations. With an API monitoring dashboard, you can set up real-time alerts that notify you of any issues such as server outages, slow response times, or unexpected errors. This allows developers to respond immediately, minimizing downtime and reducing the negative impact on users.

Example: If an API that processes payments starts showing increased response times, a real-time alert would notify developers so they can address the issue before transactions fail.

2. Tracking API Performance and Latency

One of the major challenges in developing an API is ensuring that it performs efficiently under different conditions. An API monitoring dashboard offers detailed insights into your API’s performance, including latency and response times. By tracking these metrics, developers can optimize their APIs for better performance and ensure they meet the expected service level agreements (SLAs).

Example: An e-commerce API experiencing slow response times could lead to abandoned shopping carts. Monitoring this in real time allows developers to optimize the API’s performance to enhance user experience.

3. Improving API Reliability and Availability

An API monitoring dashboard enables developers to measure the uptime and availability of their APIs. Downtime can have significant consequences, especially for APIs used in mission-critical applications. Continuous monitoring ensures that developers are always aware of their API’s status, allowing them to maintain high availability and meet customer expectations.

Example: A healthcare API used for processing patient data must ensure 100% availability. An API monitoring dashboard helps ensure that any downtime is swiftly addressed to maintain reliability.

4. Identifying Usage Patterns and Trends

In addition to performance metrics, an API monitoring dashboard can provide valuable insights into how your API is being used. By tracking usage patterns, you can determine peak usage times, common endpoints accessed, and the geographical locations of users. This data allows developers to make informed decisions about scaling resources, adding features, or addressing potential issues with specific endpoints.

Example: If an API serving a global audience sees a spike in traffic from a particular region, developers can optimize server resources to ensure smooth performance during those peak times.

5. Proactive Troubleshooting and Debugging

When something goes wrong with your API, it’s often difficult to pinpoint the issue without comprehensive data. An API monitoring dashboard collects and logs detailed data about each request, helping developers troubleshoot issues more effectively. Whether it’s a slow endpoint, failed request, or a security threat, developers can use real-time data to quickly diagnose and resolve problems.

Example: If a particular endpoint is failing due to high traffic, developers can use the API monitoring dashboard’s logs to analyze the problem and adjust the API configuration to prevent future issues.

How API Monitoring Improves the Development Process

Having real-time insights into your API’s performance not only helps you maintain uptime and reliability, but it also enhances the entire API development lifecycle. Here’s how:

Faster Debugging: Real-time monitoring simplifies identifying issues during API development, reducing debugging time.

Improved Testing: With continuous monitoring, you can catch performance issues early, allowing you to refine and test APIs before going live.

Enhanced User Experience: By ensuring your API runs smoothly, you enhance the overall experience for the end users who rely on the API for app functionality.

Conclusion: Why Every Developer Needs an API Monitoring Dashboard

As businesses and applications increasingly rely on APIs, ensuring their smooth and uninterrupted operation is crucial. An API monitoring dashboard provides developers with the tools and real-time insights they need to ensure optimal API performance, reliability, and scalability.

Whether you are developing an API from scratch or maintaining a complex API ecosystem, monitoring is essential. By utilizing an API monitoring dashboard, developers can respond proactively to issues, optimize API performance, and deliver a seamless experience to users. For anyone serious about developing and maintaining APIs, this tool is non-negotiable. Do you have an API monitoring solution in place? If not, now is the time to implement one and take control of your APIs!

[jamaicahomescom]

Computing in Real Estate: How Technology is Empowering Real Estate Agents in Jamaica

[smssinch]

Top 5 Benefits of SMS API Integration for Small and Medium-Sized Businesses

Summary: This article narrates how SMS API integration can be useful for your business and provide a suitable way to communicate.

No matter what business you do, most people keep firm affirmations of growing their business to new heights. Doing this objective makes it possible to use innovative ways to interact with valuable customers. That's why it is good to implement a solid proof message of how their contribution helps promote their business. Do not let down your confidence level as you strive hard to achieve positive business lead and revenue growth.

Most businesses are searching for a modern way to convince their customers. It is likely to stay tuned with enhanced communication and streamlined operation. Now, you refrain from tension more, as SMS API integration will bring positive benefits. SMS business API lets you directly interact with your customers and improve efficiency. SMS communication is not only for personal use but also for professional use. Sending messages to one-to-one customers takes work. Therefore, SMS automation and integration are beneficial in capturing a high customer base.

Improved business communication: What is the most important key to communicating with your customers? Sending your advertisement plan and discount rate to all supposed customer is obvious without pointing out their name. By the way, a common SMS facility is available to all phones. On the contrary, the Whatsapp SMS facility is available only to rich audiences. If you have the win-win desire to cover maximum customers, SMS message is available to all targeted customers without thinking on demographic details.

If you implement the business API with the concerned device, you will find mind-boggling features and functions for customer interaction. At this time, you have broad options to reach maximum customers.

Build Quality Relationship: If you communicate with your targeted customers on a regular basis, your business brand will become trusted and build a powerful relationship. It is important to connect with customers, clients, and employees. In comparison to email, customers will respond more than 4.5 percent more than their other communication medium.

As a result, two-way communication is easy. No matter what business you do, SMS integration is used for communication. It is up to use for alerts, notifications, and reminders.

Increase operational efficiency: Are you stuck with the process of lengthy communication? Furthermore, there is a positive incidence of spending unnecessary time to continue the phone call. With the integration of SMS API, your curated SMS message can do the customer's engagement. To some extent, your business workflow will increase and reduce administrative inefficiency. In this way, your business communication will flourish sooner or later.

Connect with the existing system: There is no limitation; you should interact with your valued audience with SMS and text message services. In addition, you can reach out to your customers through an SMS integration application.

Reduce business costs: SMS's high open rate encourages many to integrate SMS text messaging, which will improve communication and reduce administrative costs and overhead. Undoubtedly, the SMS receiver can easily read an SMS message and respond quickly. The main benefit associated with this application is reducing the customer's conversion rate.

[clivaldatabase]

Patient safety is always a big issue of concern especially in clinical trials and during the drug development. Given the increasing speed of developing new therapies, ensuring those therapies are safe and effective prior to be made public is imperative for the preservation of patient safety and endorsement of innovative treatments. This blog post focuses on the vital role of clinical trials in improving patient safety including the procedures followed to ensure safer drug development and advancements towards making clinical trials safer.