#chatbot platforms

[yestobetop]

The Art of ChatGPT Profit: Monetization Techniques for Financial Growth

How to make money with ChatGPT? What is ChatGPT? OpenAI created ChatGPT, an advanced language model. It is intended to generate human-like text responses in response to given prompts. ChatGPT, which is powered by deep learning algorithms, can engage in natural and dynamic conversations, making it an ideal tool for a variety of applications. ChatGPT can be used for a variety of purposes,…

[pampermama]

The Power of Chatbots: How to Leverage AI for Customer Support and Sales

In today’s fast-paced digital world, businesses are constantly searching for ways to improve their customer support and sales processes. One powerful solution that has emerged is the use of AI-powered chatbots. These versatile tools can revolutionize your business by automating tasks, engaging customers, and providing personalized support. In this article, we will explore the benefits of using…

[uncanny-tranny]

I can't stand masculine women. I am transmasc and I try a lot to be percieved as a man but I am only seen as a tomboy only because some girlies think being its fun to dress like a guy.

I understand where you're coming from, and I'll presume this isn't bait, but: your anger is misplaced, and the way you are expressing it is only hurting women, and it will not make transphobes have a change of heart.

It isn't appropriate to hate an entire group of people because other people are transphobic. As a trans man, transphobes don't hate me because there are butch women, they hate me because I'm a trans man (and, let's face it, butch and GNC women are in the same boat. Transphobes are often just as hateful toward GNC/butch women). Transphobes don't care what you are if they know you are deviant. They will never respect a butch or transmasc because transness and GNC inherently go against their worldview.

I'm sorry, anon, that people are transphobic, I really am. But misogyny isn't going to fix the issue. If GNC women didn't exist, you would still have the same issue because transphobia is the problem, not GNC women.

I really hope you can build connection with GNC people because it really shows you a whole lot. I've found a ton of GNC women who are on my side and recognize my maleness and celebrate it with me. Gender deviants tend to get where trans people are coming from, because society treats them just as shitty. Do not let misogyny go unchecked because society is transphobic.

[merunair]

You know at this point fuck it, I think image and word generation ai or whatever the fuck people are calling it SHOULD outright be banned and no amount of navel-gazing 'ohhh think of what the technology can do in the future in the right hands...' is going to make me concede.

There is literally nothing positive to be contributed from a big stupid machine that uses so much water to run to fart out schlock created from the mashed up (stolen) works of real human beings. Generative ai falls firmly in the fucking nft and crypto category of 'stupid scam machine made by idiots'. Only THIS TIME its taking people's jobs, eating up WAY MORE resources during a fucking environmental crisis, and getting shoved in our faces around every corner.

What possible use could ANY of these technologies have outside the shit they're doing now (and poorly)? Shitposting??? You want to keep this shit afloat for SHITPOSTING?

Fuck right the hell off, there are no right hands this can fall into and I'm sick to death of people pretending that there are.

[glassixma]

Glassix

Software Development Company

Glassix is a top-rated AI customer support and messaging platform, leveraging the advanced capabilities of conversational AI integrated with the GPT-4 engine. It’s designed to empower busy teams to excel in customer support and experience, featuring an AI-powered unified inbox that consolidates communications across all business channels and apps, including WhatsApp, Apple Messages for Business, social media, email, SMS, and more. Complementing this robust unified inbox, Glassix offers an intuitive drag-and-drop chatbot flow builder and templates, making it effortless to craft smart, efficient automation flows and deploy chatbots to any channel with just a single click. The platform's distinctiveness lies in its comprehensive AI suite and omnichannel features, providing users with innovative and modern tools such as auto-suggested replies, automatic tagging of conversations, one-click conversation summaries, and the capability to deploy generative AI chatbots. These features collectively ensure stellar customer support and experience, setting Glassix apart in the realm of customer engagement solutions.

Contact Details

Glassix

One Boston Place, Suite 2600, Boston, MA, USA 02108

Phone- +1 (617) 683-1236

Website- https://www.glassix.com/

Business Email- contact@glassix.com

Business Hours- Mon - Thu: 9AM - 5PM.

Payment Methods- Credit/ Debit Card, PayPal, Apple Pay, Google Pay, Wire Transfer.

Owner Name- Guy Shalom.

Follow On:

Facebook- https://www.facebook.com/GlassixCompany

YouTube- https://www.youtube.com/@Glassix_CX

Instagram- https://www.instagram.com/glassix_cx/

TikTok- https://www.tiktok.com/@glassix.com

LinkedIn- https://www.linkedin.com/company/glassix

[atozofsoftwareengineering]

The Power of Serverless Computing: Practical Examples and Benefits

Discover the power of #ServerlessComputing, from cost efficiency to real-time analytics, with practical examples in this insightful article! Say goodbye to server maintenance and hello to #FaaS innovation. #CloudComputing #TechTrends

Serverless computing has revolutionized the way developers build and deploy applications. It offers a cost-effective and efficient alternative to traditional server-based architectures, providing businesses with the flexibility to focus on code and functionality rather than managing infrastructure. In this article, we will explore the concept of serverless computing, its advantages, and provide…

[teamzapai]

Experts in Google Cloud Platform (GCP) Adopting the latest Google Cloud technologies drives advanced capabilities in data management, advanced analytics, and machine learning with the performance and cost reductions that business leaders seek. Get in touch Our working with Google Cloud ZapAI is specializing in Data Analytics solutions.

[jcmarchi]

The Big Bucks in Gen AI Investments

New Post has been published on https://thedigitalinsider.com/the-big-bucks-in-gen-ai-investments/

The Big Bucks in Gen AI Investments

Two massive strategic VC funds were announced this week.

Created Using Ideogram

Next Week in The Sequence:

Edge 433: Our series about SSM continues with the introduction of the SAMBA model and the concept and SSMs for long-context windows. We review the original SAMBA paper and Microsoft’s Task Weaver agent for analytic workloads.

Edge 434: We dive into DeepMind’s amazing GameNGen model that can simulate an entire game of Doom in real time.

You can subscribe to The Sequence below:

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: The Big Bucks in Gen AI Investments

Mega financing rounds are the norm in this wave of generative AI, but have you ever wondered where the money comes from? One might assume that venture capital (VC) funds are driving the massive valuations of foundation model startups. After all, firms like Thrive Capital have been active in major rounds at OpenAI. However, that assumption would be misleading. The traditional VC industry is simply too small to sustain regular rounds of tens of billions of dollars. The main source of capital for foundation model makers is coming from strategic investors, specifically the hyperscalers such as Microsoft, Google, Amazon, and NVIDIA.

This phenomenon is unique to this wave of generative AI and is based on three key factors:

The capital required to continue pushing the scaling laws of foundation models is in the hundreds of billions of dollars.

The business model for most large foundation model makers revolves around achieving AGI (Artificial General Intelligence), which, as an investment thesis, is too long-term for most VCs.

Much of that investment is used for cloud computing hours and GPU purchases, effectively returning the money to the investors themselves.

Just this week, Microsoft and BlackRock announced a massive $30 billion fund focused on AI infrastructure. The alliance combines Microsoft’s strategic view of the AI market with BlackRock’s global fundraising capabilities. This may be one of the largest tech investment funds ever raised with a single focus. Also this week, Salesforce announced plans to expand its AI venture investments to $1 billion, marking the most ambitious strategic VC initiative among SaaS providers.

The trend of strategic capital displacing financial VCs in foundation model markets is likely to accelerate as the scaling laws of these models continue to push forward. Ironically, it seems the VC industry is being disrupted by AI itself.

💎 We recommend

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🔎 ML Research

Eureka

Microsoft Research published a paper proposing a framework and methology for evaluating foundation models. Eureka supports both language and multimodal evalaution pipelines —> Read more.

Neptune

Google Research published a paper introducing Neptue, a new dataset for long-term video understanding. Neptune includes question-answering scenarios for videos up to 15 minutes long —> Read more.

GRIN

Microsoft Research published a paper detailing GRIN: GRadient-INformed MoE, a new MoE architecture that incorporates expert routing based on sparsed gradient optimizations. With just 6.6B parameters, GRIN outperforms much larger models in reasoning and math evaluations —> Read more.

Qwen2.5-Coder

Alibaba Research published the technical report for Qwen2.5-Coder. The research covers the details of 1.5B and 7B variarios trained in 5.5 trillion tokens —> Read more.

NVLM

NVIDIA Research published a paper detailing NVLM, a family of frontier-class multimodal large language models. The model seems to achieve performance comparable to GPT-4o and Llama 3.1 especially on language tasks —> Read more.

Self-Correcting LLMs

Google DeepMind published a paper outlining SCoRe, a technique for developing self-correcting LLMs using reinforcement learning. SCoRe uses data self-generated data that translate into self-correction traces which steer the model into a specific direction —> Read more.

🤖 AI Tech Releases

Opik

Comet ML open sourced Opik, a tool for monitoring and evaluating foundation models —> Read more.

SQL Console for AI Datasets

Hugging Face released a SQL console for its dataset repository —> Read more.

Gen AI for YouTube

Google DeepMind announced new gneerative AI features for YouTube creators —> Read more.

🛠 Real World AI

Jupyter Notebooks at Meta

Meta discusses the best practices and frameworks for using Jupyter notebooks in their ML infrastructure —> Read more.

ML Pipelines at Yelp

Yelp discusses the use of Cassandra and Spark in their ML pipelines —> Read more.

📡AI Radar

Digital art legend Refik Anadol unveiled a large nature model built by fine-tuning Llama.

Microsoft and BlackRock partnered to launch a massive $30 billion AI investment fund.

Black Forest Labs, the image generator behind Grok, is raising $100 m illion at $1 billion valuation.

Salesforce Ventures expands its AI investments to $1 billion.

AI video platform Runway anchored a partnership with Hollywood’s Liongates Studios.

AI coding editor Supermaven raised $12 million in a new round.

AI for meetings platform Fathom raised $17 million in new funding.

AI sales automation platform Rep.ai raised $7.5 million to boost its AI digital-twin solution.

11x.ai raised $24 million to build AI digital employees.

Chatbot Arena has a dedicated site.

OpenAI might remove its nonprofit structure after the current fundraise.

AI content platform Typeface announced two new acquisitions.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

[qnvert544]

Unlocking Business Efficiency with WhatsApp Chatbots

In the digital age, businesses must keep up with the fast-paced demands of their customers. Enter the WhatsApp chatbot, a game-changer for businesses looking to improve customer engagement, streamline communication, and boost efficiency. A WhatsApp chatbot is an automated software application designed to interact with customers on WhatsApp, one of the world's most popular messaging platforms. But how can businesses leverage WhatsApp chatbots to enhance sales, customer service, and marketing? Let's explore.

WhatsApp Chatbots: A New Era of Communication

WhatsApp chatbots provide businesses with the ability to automate responses, handle queries, and provide customer support 24/7. This means that businesses can respond instantly to customers, regardless of time zones. It’s particularly beneficial for businesses with global reach, ensuring that no customer feels neglected.

But beyond just basic customer interaction, WhatsApp chatbots are now integrated with advanced tools like Sales CRM systems, enabling businesses to manage sales processes more effectively. By linking a chatbot with a Sales CRM, businesses can capture leads, track customer interactions, and automate follow-ups without manual intervention. The result? A more streamlined sales process that can significantly enhance conversion rates.

The Role of WhatsApp Chatbots in Sales and Marketing

Sales and marketing teams benefit immensely from integrating WhatsApp chatbots into their strategies. Let’s break down the core advantages:

1. Lead Generation and Qualification

A WhatsApp chatbot can be programmed to ask specific questions to potential customers, qualifying leads automatically. By integrating it with a Sales CRM, businesses can capture this data and follow up instantly with tailored content or offers. This automated lead qualification ensures that only the most relevant prospects are passed on to the sales team, improving overall productivity.

2. Personalized Customer Engagement

WhatsApp chatbots can offer a more personalized experience by tailoring responses based on the customer’s preferences, purchase history, and browsing behavior. These insights, when combined with data from a Sales CRM, enable businesses to send more relevant offers or solutions. This personalization can enhance customer satisfaction and drive repeat purchases.

3. Support for Email Marketing Platforms

While WhatsApp is excellent for real-time interactions, it doesn't replace other marketing channels like email. Many businesses rely heavily on email marketing platforms to run their campaigns. WhatsApp chatbots can work in tandem with these platforms, ensuring that the customer receives cohesive and multi-channel messaging. For example, a chatbot could send a reminder to customers to check their inbox for special offers, thereby boosting email open rates.

WhatsApp chatbots can also notify customers of email campaigns directly through the messaging platform, ensuring maximum engagement. This synergy between WhatsApp and email marketing platforms strengthens the overall marketing approach, enhancing both reach and effectiveness.

How WhatsApp Chatbots Enhance Sales CRM Integration

Sales CRM (Customer Relationship Management) systems are essential for managing customer relationships and ensuring sales teams can track and nurture leads efficiently. When integrated with WhatsApp chatbots, the benefits multiply:

Automated Lead Capture: When a customer interacts with a WhatsApp chatbot, all their details can be automatically entered into the CRM system, ensuring no lead goes unnoticed.

Improved Follow-Up: Sales teams can use chatbots to send follow-up messages at critical moments in the sales funnel, such as after a product demo or inquiry. This can all be automated based on the CRM’s data.

Sales Forecasting: The data gathered by WhatsApp chatbots—such as the frequency of customer inquiries or engagement—can feed into the CRM system, offering valuable insights for sales forecasting.

By marrying WhatsApp chatbots with Sales CRM systems, businesses can manage customer interactions seamlessly from initial contact through to purchase, with automated touchpoints throughout the process. This streamlines workflows and improves the chances of closing deals more efficiently.

The Future of Marketing with WhatsApp Chatbots

As businesses look for ways to scale their operations without sacrificing customer experience, WhatsApp chatbots are increasingly becoming a go-to solution. However, their real power lies in their ability to integrate with other tools like email marketing platforms and Sales CRM systems. These integrations allow businesses to offer a cohesive customer experience, automate time-consuming tasks, and ensure that marketing and sales teams can work more efficiently.

For instance, a business might use a WhatsApp chatbot to inform customers of a new product launch while also sending a detailed email campaign through their email marketing platform. Simultaneously, the chatbot can update the Sales CRM with customer interactions, helping sales teams follow up on interested leads. This level of integration ensures that no opportunity slips through the cracks and that customers receive timely, relevant communications.

Conclusion

The rise of WhatsApp chatbots marks a pivotal moment for businesses aiming to optimize their customer communication. When paired with Sales CRM systems and email marketing platforms, these chatbots can enhance customer interactions, streamline lead management, and boost overall efficiency. As businesses continue to adopt digital solutions, WhatsApp chatbots will play an increasingly important role in driving growth and improving customer satisfaction. For those looking to stay ahead of the curve, now is the time to explore the full potential of WhatsApp chatbot integration.

[simplifysol]

Top Strategies for Managing Online Reputation Across Multiple Locations

Managing online reputation is critical for any business, especially for those with multiple locations. Each branch or outlet has its own unique community, audience, and customer feedback. Maintaining a consistent and positive reputation across all locations is essential to ensure trust, credibility, and customer loyalty. Here are the top strategies to effectively manage multi-location reputation management while leveraging tools like the WhatsApp business platform and conversational AI chatbots.

1. Centralized Reputation Management

For multi-location businesses, a centralized platform for monitoring and responding to reviews is essential. This allows a business to maintain a consistent brand voice across all locations while addressing local concerns. Investing in a multi-location reputation management tool helps streamline this process by consolidating feedback from different review platforms into a single dashboard.

2. Proactive Customer Engagement

Responding to customer reviews and queries is not enough. Proactively engaging with customers before they leave reviews can significantly improve your reputation. Utilizing tools like the WhatsApp business platform allows businesses to engage with customers directly, offering real-time support and updates. This personal touch can lead to higher customer satisfaction and fewer negative reviews.

3. Utilize Conversational AI Chatbots

Implementing conversational AI chatbot across different locations can offer seamless customer support. These chatbots can handle routine customer queries, respond to FAQs, and even gather feedback. By ensuring that customer inquiries are answered promptly and accurately, businesses can improve customer satisfaction and avoid negative reviews.

4. Consistent Brand Messaging Across All Platforms

Maintaining consistency in communication and branding across all platforms and locations is essential. Whether you’re engaging with customers via social media, email, or your website, the tone, style, and messaging should reflect your brand values. Tools like WhatsApp business platform allow businesses to manage customer communication in a unified manner, ensuring consistency across all locations.

5. Local SEO Optimization

Each location of a multi-location business should have a strong presence in local search results. Optimizing your business listings, including Google My Business profiles, helps each location appear in relevant local searches. Encouraging satisfied customers to leave reviews specific to each location enhances the online reputation of that branch.

6. Monitor and Address Negative Reviews Quickly

Negative reviews are inevitable, but how you handle them determines the overall impact on your brand’s reputation. With a multi-location reputation management system, you can quickly monitor negative reviews and respond promptly. By addressing customer concerns in a timely and professional manner, you can mitigate the damage of negative feedback and turn unhappy customers into loyal ones.

7. Leverage Data Analytics to Track Reputation

Use data analytics to track reputation trends across multiple locations. By identifying patterns, such as recurring complaints or areas where customer service is lacking, businesses can make data-driven improvements. Conversational AI chatbots can also provide valuable insights by tracking customer inquiries and concerns, helping businesses adjust their strategies.

8. Personalized Marketing Campaigns

Utilizing customer data collected via WhatsApp business platform or other channels allows businesses to run targeted marketing campaigns specific to each location. Personalized marketing helps create stronger relationships with local customers and improves brand reputation at each location.

Conclusion

For businesses with multiple locations, effective multi-location reputation management is critical to maintaining a positive brand image. By leveraging tools like the WhatsApp business platform, conversational AI chatbots, and local SEO strategies, businesses can ensure consistent communication, resolve customer issues quickly, and enhance their overall reputation across all branches. These strategies not only help in building trust but also create a loyal customer base that values the brand across different regions.

[salesmarkglobal]

How APAC Brands Drive Efficiency and Excellence in CX

The changing nature of business, where technological advancements offer a variety of operational wastages, is a perfect reason why the human factor cannot be left out of the equation of any successful business venture. The customer experience (CX) endeavors in Asia Pacific (APAC) have created an environment where brands are leading the pack in meeting the double challenge of efficiency and personalized service delivery. Here’s a comprehensive look at how they achieve service excellence while driving efficiency:

Read complete article-

https://salesmarkglobal.com/how-apac-brands-drive-efficiency-and-excellence-in-cx/

[this-actually-is-my-first-rodeo]

aw hell no why does Instagram have character ai bots… yes queen go chat with a robot someone “sampled” writers’ work into instead of meeting new people or reading a fanfic!!

[sinchchatlayer]

Reducing Churn and Enhancing Retention: Chat layer’s AI in Sustainable Business Practices

In today’s hyper-competitive business world, where customer loyalty can make or break a company, minimizing churn has become a top priority for all companies. Churn, or the rate at which customers discontinue their loyalty to a company, not only impacts sales but also reflects on brand reputation.

However, while traditional approaches to reducing churn can fall short, AI chatbot conversation and machine learning can offer a transformative solution to proactively manage churn and foster customer retention. Here is what it does.

Reducing churn with AI

To reduce the churn, AI can reliably determine the chances of a customer leaving the company at any time. It also helps brands recognize when it is likely to happen based on these inputs.

AI-driven predictions

Human behavior is a complex mesh of interactions. An AI chatbot platform India can use large databases and patterns to recognize which customers are most likely to leave by using parameters to copy their actions and make predictions.

Identifying trigger events

An AI chatbot integration is excellent when it comes to retaining a customer. A brand cannot act too soon or too late, the timing has to be right. Certain events can lead a customer to not want to do any business with a company.

Trigger events like price hikes, bad press, even late delivery, and more. Customers react to this quickly, however, with the right feedback systems in place, brands could learn why customers left the company and how they can prevent this from happening.

Automated engagement

AI is only as good as its inputs which need to remain current. Businesses should consistently gather feedback from customers while they are active and while they leave. This can help the AI model their behavior more accurately for future cases.

In Summary

While you can run campaigns and strategies to lower customer churn, it’s more important to focus on the reliability and performance of your infrastructure. This can help you set the stage for long-term clients and customer satisfaction. Always look for solutions that are high-performing, and offer exceptional customer experiences, seamless scalability, and support.

[chatbudds]

Websites with live chats enhance customer support by providing real-time assistance, improving user experience and satisfaction.

[techavtar]

Tech Avtar is renowned for delivering custom software solutions for the healthcare industry and beyond. Our diverse range of AI Products and Software caters to clients in the USA, Canada, France, the UK, Australia, and the UAE. For a quick consultation, visit our website or call us at +91-92341-29799.