#api strategy | Explore Tumblr Posts and Blogs

thisintegrationsolutions · 8 months

Text

#api integration services #API #API solutions #API Integration Solutions #API Strategy

0 notes

sirrista · 8 months

Text

Navigating API strategy success: Essential KPIs to maximize API Impact

Are you looking to harness the transformative power of APIs in the business world? APIs have the potential to drive business success and deliver desired results. Should there be a separate function or specific lead resposnibile for API stategy and execution? But how can you ensure that your API strategy delivers the desired results? Does the answer lie in measuring success using relevant Key Performance Indicators (KPIs)?

Click here to read full article: https://sirrista.com/insights/navigating-api-strategy-success-essential-kpis-to-maximize-api-impact

#API strategy #KPIs #API Impact

0 notes

onbepaymentsolutions · 1 year

Text

oday’s digital economy runs using payments APIs.

Today’s digital economy runs using payments APIs. You’re likely already aware that an API-driven approach to innovation is behind the way companies such as Uber, Airbnb, and Booking.com harness existing products and possibilities, using them as building blocks for creating seamless, connected experiences. Today, companies don’t have to build everything from scratch but are able to draw from a rich array of endpoints that can be customized for their needs.

But APIs don’t merely serve as a launchpad for tech companies to build on—and with—combinations of existing functionalities. They enable businesses in any industry to offload non-core services to third parties and ultimately achieve smoother, more integrated processes, whether that’s internally or customer facing.

As the CTO of a payments company, I’m obviously a little biased, but I think payments are one of the best examples of how any business can benefit from the API economy. It’s no accident that Stripe, which provides payment processing primarily for e-commerce and mobile commerce companies, is one of the earliest and largest API-first companies, enabling anyone to plug in ready-to-go acquiring functionalities. Stripe succeeded in removing the complexity of payment acceptance from the business equation for millions of organizations, from direct-to-consumer start-ups to companies as large as Amazon.

Learn more: https://www.onbe.com/post/want-to-simplify-your-payment-strategy-theres-a-payments-api-for-that

#b2b payment gateway #fintech #API #api strategy #digital transformation

0 notes

smsgatewayindia · 4 days

Text

Unlock the Full Potential of WhatsApp Business API with These 5 Expert Tips

One powerful tool that has gained significant traction is the WhatsApp Business API. Designed to help businesses connect with customers efficiently, the API offers a plethora of features that can transform customer service and communication strategies.

#SMS Gateway Center #WhatsApp Business API #customer service automation #chatbots for business #message templates #shared team inbox #CRM integration #personalized customer communication #interactive buttons #customer engagement strategies #digital customer service #business communication tools #improve customer satisfaction #enhance customer experience #efficient customer support #streamline business operations

0 notes

jcmarchi · 8 days

Text

Reading Beyond the Hype: Some Observations About OpenAI and Google’s Announcements

New Post has been published on https://thedigitalinsider.com/reading-beyond-the-hype-some-observations-about-openai-and-googles-announcements/

Reading Beyond the Hype: Some Observations About OpenAI and Google’s Announcements

Google vs. OpenAI is shaping up as one of the biggest rivarly of the generative AI era.

Created Using Ideogram

Next Week in The Sequence:

Edge 397: Provides an overview of multi-plan selection autonomous agents. Discusses Allen AI’s ADaPT paper for planning in LLMs and introduces the SuperAGI framework for building autonomous agents.

Edge 398: We dive into the Microsoft’s amazing Phi-3 model which is able to outperform much larger models in math and computer science and started the small language model movement.

You can subscribed 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: Reading Beyond the Hype: Some Observations About OpenAI and Google’s Announcements

What a week for generative AI! By now, every AI newsletter you subscribe to and every blog and tech publication you follow must have bombarded you with announcements from the OpenAI events and the Google I/O conference. Instead of doing more of the same, I thought we could share some thoughts about how this week’s events shape the competitive landscape between Google and OpenAI and the generative AI market in general. After all, Google has been the only tech incumbent that has chosen to compete directly with OpenAI and Anthropic instead of integrating those models into their distribution machine. This week’s announcements show that the race between Google and OpenAI might be shaping up to be one of the iconic tech rivalries of the next generation.

Here are some observations about OpenAI and Google’s recent announcements:

Feature Parity: One astonishing development this week was seeing how Google and OpenAI are both working on similar roadmaps. From image and video generation to generalist agents, it seems that both companies are matching each other’s capabilities. It is impressive to see how fast Google has caught up.

From Models to Agents: The announcements of GPT-4o and Project Astra revealed that both OpenAI and Google are expanding into the generalist agent space. In the case of Google, this is not that surprising.

Engineering Matters: Speed was at the center of the GPT-4o and Gemini Flash announcements. The evolution of generative AI today is as much about engineering as it is about research.

Context Window Edge: The Gemini 2M token context window is astonishing. Google recently hinted at their work in this area with the Inifini Attention research. This massive context could make quite a competitive difference in several scenarios.

Video is the Next Differentiator: It is very clear that video is one of the next frontiers for generative AI. A few weeks ago, OpenAI seemed to be ahead of all other tech incumbents with Sora, but Google’s Veo looks incredibly impressive. Interestingly, no other major AI platform seems to be developing video generation capabilities at scale, which makes startups like RunWay and Pika very attractive acquisition targets. Otherwise, this will become a two-horse race.

Google AI Strategy is Broad and Fragmented: Google’s announcements this week were overwhelming. There is the Gemini Flash massive model and the Gemma small model, generative video models, Astra multimodal agents, Gemini-powered search, AI in Workspace apps like Gmail or Docs, AI for Firebase developers, and maybe new AI-powered glasses? You get the idea. Executing well across all these areas while pushing the boundaries of research is extremely difficult. And yet, it might be working.

Google’s Bold AI Strategy Might Pay Off: Unlike Microsoft, Apple, Amazon, and Oracle, Google didn’t rush to partner with OpenAI or Anthropic and instead decided to rely on its DeepMind and Google Research AI talent. They have had plenty of public missteps and challenges, but they have proven that they can take a punch and remain quite competitive. The result is that now Google has achieved near feature parity with OpenAI and is in control of its own destiny.

I could keep going, but this is supposed to be a short editorial. This week was another example that generative AI is moving at a speed we have never seen in any tech trend. The rivalry between Google and OpenAI promises to push the boundaries of the space.

🔎 ML Research

VASIM

Microsoft Research published a paper introducing Vertical Autoscaling Simulator Toolkit(VASIM), a tool designed to address teh challenges of autoscaling algorithms such as the ones used in cloud computing infrastructures. VASIM can simulate different autoscaling policies and optimization parameters —> Read more.

RLHF Workflow

Salesforce Research published a paper proposing an Online Iterative Reinforcement Learning from Human Feedback (RLHF) technique that can improve over offline alternatives. The method also looks to address the resource limitations of online RLHF for open source projects —> Read more.

SambaNova SN40L

SambaNova researchers published a paper proposing SambaNova SN40L, a technique that combines composition of experts(CoEs) , streaming dataflow and a three-tier memory to scale the AI memory wall. The research looks to address some of the limitations of hyperscalers when deploying large monolithic LLMs —>Read more.

Med-Gemini

Google published two research papers exploring the capabilities of Gemini in healthcare scenarios. The first paper explores Gemini in electronic medical records processing while the second one focuses on use cases such as radiology, pathology, dermatology, ophthalmology, and genomics in healthcare —> Read more.

BEHAVIOR Vision Suite

Researchers from Stanford, Harvard, Meta, University of Southern California and other AI labs published a paper introducing BEHAVIOR Vision Suite, a set of tools for generaring fully customized synthetic data for computer vision models. BVS could have a profound impact in scenarios such as embodied AI or self-driving cars —> Read more.

Online vs. Offline RLHF

Researchers from Google DeepMind published a paper outlining the series of experiments comparing online and offline RLHF alignment methods. The experiments showed clear superiority of online methods and dives into potential explanations —> Read more.

🤖 Cool AI Tech Releases

GPT-4o

OpenAI unveiled GPT-4o, a new model that can work with text, audio and vision in real time —> Read more.

Gemini 1.5

Google introduced Gemini 1.5 Flash and new improvements to its Pro model —> Read more.

Transformer Agents 2.0

Hugging Face open sourced a new version of its Transformers Agents framework —> Read more.

Model Explorer

Google Research released Model Explorer, a tool for visualizing ML models as graphs —> Read more.

Gemma 2

Google unveiled Gemma 2, a 27B parameter LLM that can run in a single TPU —> Read more.

Imagen 3

Google released Imagen 3, the latest version of its flagship text-to-image model —> Read more.

Firebase Genkit

Google released Firebase Genkit, a framework for building mobile and web AI apps —> Read more.

🛠 Real World AI

Inside Einstein

Salesforce VP of Engineering shares details about the implementation of the Einstein platform —> Read more.

📡AI Radarwii

OpenAI co-founder Ilya Sutskever announced he will be leaving the company.

Together with Ilya, the bulk of OpenAI’s risk team has been dissolved.

Snoflake is in talks to buy multimodal platform Reka AI for $1 billion.

Google and Airtel partnered to bring generative AI solutions to the Indian market.

Anthropic announced that its Claude API is avail in Europe and is in the process of raising more capital.

LanceDB raised $11 million for building a multimodal AI database.

Samba Nova introduced Fugaku-LLM, a new Japanese LLM that uses the composition of experts architecture.

Weka raised $140 million for its AI data pipeline platform.

Elastic announced Search AI lake for low latency RAG scenarios.

Snowflake announced an investment in data observability platform Metaplane.

David Sacks from the PayPal and Yammer fame , launched a new gen AI startup.

Humanity Protocol, which attempts to validate human identity in scenarios like deep fakes, raised $30 million at over $1 billion valuation.

Microsoft-Mistral alliance might avoid UK regulatory probe.

AI coding startup Replit reported sizable layoffs.

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

0 notes

angeldgillweb · 1 month

Text

Social Media Marketing - How To Update Your Status On Facebook To Include Photos

There are several interesting Facebook facts doing the rounds. Also, Facebook will let you interact with other human beings. Facebook can be used for more than connecting with people you went to high school with. All you need is that million dollar idea and the skills to go with it, if you feel you're lacking in that dimension, there are lots of more experienced computer programmers that can help you or that you can ask from help from! By being an "Ad Arbitrager"- an ad arbitrager is someone who takes advantage of the difference between two ads Profile Page versus buff Page The regular Facebook user makes application of Facebook for personal communications and not really for business. Facebook is found to be eating the entanglement after all. Not only e-Business owners but also people owning offline businesses are using Facebook for promoting their business There are now over 400 million registered users on Facebook worldwide, 100 million of whom live in the USA. The problem, though, is that Facebook strictly limits each person to just one Facebook account. Facebook allows you to either upload videos or shoot a video instantly With the included tools in Facebook, you'll be in a position to require advantage of it, like the Stumble Upon and Digg buttons to push your website or your products and services. The nice factor concerning Facebook promoting is that it provides a free and simple manner to market merchandise and services. Keyword-optimized content can be added on a regular basis Remove anything and anyone that is offensive and degrading. Facebook is the same, it is the world's largest free audience and you can tap into this free audience at any time you want. Facebook is the largest display ad network on the internet currently. Facebook is considered one of the top advertising channels online. Create an Event: An event can be anything you make it

élection présidentielle du 06 mai 2024 au Tchad

youtube

#facebook-marketing-strategy #facebook-marketing-api-documentation #facebook-marketing-course #facebook-marketing-place #facebook-marketing-cost #facebook-marketing-certification #facebook-marketing-companies #facebook-marketing-partners #facebook-marketing-jobs #facebook-marketing-ads #facebook-marketing-tools #facebook-marketing-for-dummies #facebook-marketing-expert #facebook-marketing-classes #facebook-marketing-internship #facebook-marketing

0 notes

bhavitratech · 3 months

Text

Harnessing the Power of Bulk SMS Marketing: Driving Business Growth in the Digital Age

In today's hyper-connected world, effective communication is key to the success of any business. As consumers increasingly rely on their mobile devices for information and interaction, businesses are turning to innovative strategies to engage with their target audience. One such strategy that has gained prominence in recent years is bulk SMS marketing.

By leveraging the immediacy and ubiquity of text messaging by bulk SMS service provider based in Kolkata, businesses can effectively reach customers in real-time and drive growth in ways previously unimaginable.

Here, we explore how bulk SMS marketing can help businesses thrive and achieve their growth objectives:

Instantaneous Reach: One of the primary advantages of bulk SMS marketing is its ability to deliver messages instantly to a large audience. Unlike traditional forms of advertising that may take days or weeks to reach consumers, SMS messages are typically read within minutes of being received. This immediacy allows businesses to communicate time-sensitive information such as flash sales, promotions, and event reminders with unparalleled efficiency.

High Open and Engagement Rates: Studies have shown that SMS messages boast open rates as high as 98%, far surpassing those of email and other forms of digital marketing. Furthermore, the majority of recipients engage with SMS messages within a few minutes of receiving them, making it an ideal channel for capturing attention and driving action. By crafting concise, compelling messages that resonate with their audience, businesses can significantly increase customer engagement and conversion rates.

Cost-Effectiveness: Compared to traditional forms of advertising such as print, radio, or television, bulk SMS marketing offers a cost-effective solution for businesses of all sizes. With minimal overhead and no printing or postage costs, SMS campaigns can deliver impressive returns on investment. Additionally, many SMS marketing platforms offer affordable pricing plans and pay-as-you-go options, making it accessible to businesses with limited marketing budgets.

Targeted Campaigns: Unlike broadcast advertising, which reaches a broad audience indiscriminately, bulk SMS marketing enables businesses to target specific demographics, interests, and behaviors with precision. By segmenting their audience based on factors such as location, purchase history, or engagement level, businesses can tailor their messages to resonate with each recipient on a personal level. This targeted approach not only increases the effectiveness of marketing campaigns but also enhances customer satisfaction and loyalty.

Enhanced Customer Communication: SMS marketing provides businesses with a direct line of communication to their customers, fostering meaningful interactions and relationships. Whether sending order confirmations, delivery updates, or customer service notifications, businesses can use SMS to keep customers informed and engaged throughout the entire customer journey. This proactive approach to communication not only improves the overall customer experience but also builds trust and loyalty over time.

Measurable Results and Analytics: Most bulk SMS marketing platforms offer robust analytics and reporting tools that allow businesses to track the performance of their campaigns in real-time. From delivery rates and open rates to click-through rates and conversion rates, businesses can gain valuable insights into the effectiveness of their messaging and optimize their strategies accordingly. By monitoring key metrics and experimenting with different approaches, businesses can continuously improve their SMS marketing efforts and achieve greater success.

In conclusion, bulk SMS marketing presents businesses with a powerful tool for driving growth and achieving their business objectives in the digital age. With its instantaneous reach, high engagement rates, cost-effectiveness, and ability to deliver targeted, personalized messages, SMS marketing has emerged as a preferred channel for businesses looking to connect with their audience in a meaningful way. By embracing SMS marketing as part of their overall marketing strategy, businesses can unlock new opportunities for growth, strengthen customer relationships, and stay ahead in an increasingly competitive marketplace.

#bulksmsservice #bulk sms company #bulk sms strategy #bulk sms #bulk sms api #bulk sms provider #bulk sms india #bulk sms marketing #promotional sms #bulk sms service provider in kolkata

0 notes

textla-chronicles · 3 months

Text

#sms #sms marketing #bulk sms api #business growth #marketing strategy

1 note · View note

foodspark-scraper · 5 months

Text

Make your Restaurant more competitive with Foodspark Competitor Price Monitoring service. You can develop effective pricing strategies and gain a strong market position using restaurant data analytics, menu trends, and industry insights.

#food data scraping services #restaurant data scraping #food data scraping #grocerydatascraping #zomato api #web scraping services #restaurantdataextraction #fooddatascrapingservices #grocerydatascrapingapi #Competitor Price Monitoring Strategies #Competitor Price Monitoring service

0 notes

wanotifier · 5 months

Text

Strategies for Effective Bulk Messaging via WhatsApp Cloud API

Master the art of bulk whatsapp messaging with WhatsApp Cloud API. WANotifier helps create impactful, personalized messages that resonate with your audience. Learn crucial aspects of contact management, ensuring adherence to opt-in requirements and maintaining updated lists.

Explore the dynamic use of multimedia to enrich your messages and engage your audience. use campaign metrics for continuous improvement, including open rates and response rates, to refine your messaging strategy and achieve better outcomes.

#Strategies for Effective Bulk Messaging via WhatsApp Cloud API

0 notes

vanguarddeveloper · 6 months

Text

Elevating Web Experiences: Advanced Techniques for Combining React with C#

In the ever-evolving landscape of web development, the combination of React and C# emerges as a powerful duo, offering a comprehensive solution for building high-performance and scalable web applications. React, renowned for its efficiency in building dynamic user interfaces, pairs seamlessly with the robust backend capabilities of C#. This synergy unlocks new potentials in web development,…

View On WordPress

#.NET Core #API development #backend development #c #dynamic user interfaces #full-stack development #integration strategies #react #UI design #web development

0 notes

jcmarchi · 2 months

Text

Why data quality is critical for marketing in the age of GenAI

New Post has been published on https://thedigitalinsider.com/why-data-quality-is-critical-for-marketing-in-the-age-of-genai/

Why data quality is critical for marketing in the age of GenAI

.pp-multiple-authors-boxes-wrapper display:none; img width:100%;

A recent survey reveals that CMOs around the world are optimistic and confident about GenAI’s future ability to enhance productivity and create competitive advantage. Seventy per cent are already using GenAI and 19 per cent are testing it. And the main areas they’re exploring are personalisation (67%), content creation (49%) and market segmentation (41%).

However, for many consumer brands, the divide between expectations and reality looms large. Marketers envisioning a seamless, magical customer experience must recognise that AI’s effectiveness depends on high-quality underlying data. Without that, the AI falls flat, leaving marketers grappling with a less-than-magical reality.

AI-powered marketing fail

Let’s take a closer look at what AI-powered marketing with poor data quality could look like. Say I’m a customer of a general sports apparel and outdoor store, and I’m planning for my upcoming annual winter ski trip. I’m excited to use the personal shopper AI to give me an experience that’s easy and customised to me.

I need to fill in some gaps in my ski wardrobe, so I ask the personal shopper AI to suggest some items to purchase. But the AI is creating its responses based on data about me that’s been scattered across the brand’s multiple systems. Without a clear picture of who I am, it asks me for some basic information that it should already know. Slightly annoying… I’m used to entering my info when I shop online, but I was hoping the AI upgrade to the experience would make things easier for me.

Because my data is so disconnected, the AI concierge only has an order associated with my name from two years ago, which was actually a gift. Without a full picture of me, this personal shopper AI is unable to generate accurate insights and ends up sharing recommendations that aren’t helpful.

Ultimately this subpar experience makes me less excited about purchasing from this brand, and I decide to go elsewhere.

The culprit behind a disconnected and impersonal generative AI experience is data quality — poor data quality = poor customer experience.

AI-powered marketing for the win

Now, let’s revisit this outdoor sports retailer scenario, but imagine that the personal shopper AI is powered by accurate, unified data that has a complete history of my interactions with the brand from first purchase to last return.

I enter my first question, and I get a super-personalised and friendly response, already starting to create the experience of a one-on-one connection with a helpful sales associate. It automatically references my shopping history and connects my past purchases to my current shopping needs.

Based on my prompts and responses, the concierge provides a tailored set of recommendations to fill in my ski wardrobe along with direct links to purchase. The AI is then able to generate sophisticated insights about me as a customer and even make predictions about the types of products I might want to buy based on my past purchases, driving up the likelihood of me purchasing and potentially even expanding my basket to buy additional items.

Within the experience, I am able to actually use the concierge to order without having to navigate elsewhere. I also know my returns or any future purchases will be incorporated into my profile.

Because it knew my history and preferences, Generative AI was able to create a buying experience for me that was super personalised and convenient. This is a brand I will keep returning to for future purchases.

In other words, when it comes to AI for marketing, better data = better results.

So how do you actually address the data quality challenge? And what could that look like in this new world of AI?

Solving the data quality problem

The critical first element to powering an effective AI strategy is a unified customer data foundation. The tricky part is that accurately unifying customer data is hard due to its scale and complexity — most consumers have at least two email addresses, have moved over eleven times in their lifetimes and use an average of five channels (or if they are millennials or Gen Z, it’s actually twelve channels).

Many familiar approaches to unifying customer data are rules-based and use deterministic/fuzzy matching, but these methods are rigid and break down when data doesn’t match perfectly. This, in turn, creates an inaccurate customer profile that can actually miss a huge portion of a customer’s lifetime history with the brand and not account for recent purchases or changes of contact information.

A better way to build a unified data foundation actually involves using AI models (a different flavour of AI than generative AI for marketing) to find the connections between data points to tell if they belong to the same person with the same nuance and flexibility of a human but at massive scale.

When your customer data tools can use AI to unify every touchpoint in the customer journey from first interaction to last purchase and beyond (loyalty, email, website data, etc…), the result is a comprehensive customer profile that tells you who your customers are and how they interact with your brand.

How data quality in generative AI drives growth

For the most part, marketers have access to the same set of generative AI tools, therefore, the fuel you input will become your differentiator.

Data quality to power AI provides benefits in three areas:

Customer experiences that stand out — more personalised, creative offers, better customer service interactions, a smoother end-to-end experience, etc.

Operational efficiency gains for your teams — faster time to market, less manual intervention, better ROI on campaigns, etc.

Reduced compute costs — better-informed AI doesn’t need to go back and forth with the user, which saves on racking up API calls that quickly get expensive

As generative AI tools for marketing continue to evolve, they bring the promise of getting back to the level of one-to-one personalisation that customers would expect in their favourite stores, but now at a massive scale. That won’t happen on its own, though — brands need to provide AI tools with accurate customer data to bring the AI magic to life.

The dos and don’ts of AI in marketing

AI is a helpful sidekick to many industries, especially marketing — as long as it’s leveraged appropriately. Here’s a quick ‘cheat-sheet’ to help marketers on their GenAI journey:

Do:

Be explicit about the specific use cases where you plan to use data and AI and specify the expected outcomes. What results do you expect to achieve?

Carefully evaluate if Gen AI is the most appropriate tool for your specific use case.

Prioritise data quality and comprehensiveness — establishing a unified customer data foundation is essential for an effective AI strategy.

Don’t:

Rush to implement GenAI across all areas. Start with a manageable, human-in-the-loop use case, such as generating subject lines.

(Editor’s note: This article is sponsored by Amperity)

Tags: ai, data, genai, generative ai, marketing

0 notes

d3teck · 7 months

Text

How to Improve the User Experience on an E-Commerce Site

Creating a world-class user experience for visitors to your e-commerce site is not just a luxury in the modern digital age of rising online shopping, it is also a need. Your ability to comprehend your audience and successfully optimize your website will determine the success of your e-commerce business. Using phrases like website traffic analysis, e-commerce software, and e-commerce marketing services, we'll discuss five critical techniques in this blog post to improve the user experience on your e-commerce site.

Know your client

Understanding your target demographic in-depth is one of the key aspects in optimising the user experience on your e-commerce site. An essential tool in this case is website traffic analysis. Use analytics to learn more about the demographics, behaviour, and preferences of your visitors. You may efficiently modify your website using this information to fit their demands. It's about giving your users a tailored experience that they enjoy. The sales and total conversion rate from the website will be very low if it is not tailored to the preferences and interests of the target audience. Be careful to take into account the particular requirements of your clients.