#AI Features for SaaS

[engagetal]

The Sales Talent Gap: Why Engagetal Exists and What We’re Here to Change

Let’s be honest. The world doesn’t celebrate salespeople the way it celebrates coders, marketers, or designers.

There are platforms to help developers grow. Communities where designers showcase portfolios. Courses that help marketers stay on trend.

But what about the people who actually bring in the money?

What about the SDRs dialing through rejection, The closers turning cold leads into contracts, The consultants coaching teams to beat revenue targets?

They’re the real revenue engine. And yet, they’ve been undervalued, underpaid, and underrepresented for far too long.

⚡ The Real Problem

Sales professionals have never had a dedicated platform that respects their skillset.

Job boards treat them like generalists.

Companies hire them based on resumes, not results.

Freelance platforms don’t understand sales metrics.

And most importantly — there's no place where a top sales rep can build their career with pride and growth.

We saw this. We lived this. So we built something better.

🚀 Introducing Engagetal: Sales Talent. On Demand.

Engagetal is not just another hiring portal or freelancer platform.

It’s a global ecosystem built exclusively for sales talent and the companies that need them.

Our USP (Unique Selling Proposition) is simple: We focus only on sales, and we do it better than anyone else.

What We Bring to the Table

🔥 For Companies:

Pre-vetted talent — No fluff, just proven performers.

On-demand access — Hire closers, SDRs, or sales consultants as per your project needs.

Faster ROI — Stop wasting time training average reps. Get people who start delivering from Day 1.

Scale globally — Whether you're in New York or New Delhi, we’ll match you with the right fit.

We don’t just give you a candidate. We give you a sales weapon.

💼 For Sales Professionals:

Real recognition — No more being treated like a number. At Engagetal, you’re the main pillar.

Top-tier opportunities — Work with global brands, startups, and SaaS companies that actually value you.

Remote-first & flexible — Work from anywhere. Choose your deals.

Growth support — Upskilling sessions, playbooks, expert coaching & more.

This isn’t about “gigs.” It’s about building a career worth celebrating.

🌎 Why Now?

We’re living in a time where remote work has leveled the playing field, but sales hiring is still stuck in the past.

Engagetal is the future of sales hiring — One that doesn’t care about degrees or connections. One that rewards performance, resilience, and real results.

We are platform-first, people-obsessed, and built for both freelance sales ninjas and full-time revenue leaders.

🧠 What Makes Us Different?

We don't do everything. We only do sales.

We match based on track record, not just profiles.

We’re founder-led and deeply connected to the community.

And we treat every sales pro like a fking rockstar.**

Because that’s what they are.

📍 Where We’re Headed

We’re just getting started.

The platform is rolling out in phases — starting with curated onboarding, real-time talent matchmaking, and exclusive partnerships with companies looking to scale.

Very soon, we’ll offer:

✅ AI-assisted matching ✅ Performance-based ranking systems ✅ Sales bootcamps & certifications ✅ Community features & spot bonuses

All designed to make Engagetal the #1 destination for sales excellence.

🎯 Final Word: For the Sales Warriors

If you're a sales pro who’s tired of being treated like a number — If you’ve got the skills but not the platform — If you’ve closed deals in silence while others took the spotlight —

Engagetal is your home now.

And for companies tired of underwhelming reps who don’t deliver — This is your chance to hire the top 1% sales talent on demand.

We're building the future of sales. And we’re starting with the people who make growth happen.

📌 Follow this blog to see how Engagetal reshapes the global sales game. 📌 Want to join early or hire? DM us or connect with the founder: 👉 Saurav Kumar Jha

Let’s give salespeople the platform they’ve always deserved. 💼

[niotechone]

Cloud Computing: Definition, Benefits, Types, and Real-World Applications

In the fast-changing digital world, companies require software that matches their specific ways of working, aims and what their customers require. That’s when you need custom software development services. Custom software is made just for your organization, so it is more flexible, scalable and efficient than generic software.

What does Custom Software Development mean?

Custom software development means making, deploying and maintaining software that is tailored to a specific user, company or task. It designs custom Software Development Services: Solutions Made Just for Your Business to meet specific business needs, which off-the-shelf software usually cannot do.

The main advantages of custom software development are listed below.

1. Personalized Fit

Custom software is built to address the specific needs of your business. Everything is designed to fit your workflow, whether you need it for customers, internal tasks or industry-specific functions.

2. Scalability

When your business expands, your software can also expand. You can add more features, users and integrations as needed without being bound by strict licensing rules.

3. Increased Efficiency

Use tools that are designed to work well with your processes. Custom software usually automates tasks, cuts down on repetition and helps people work more efficiently.

4. Better Integration

Many companies rely on different tools and platforms. You can have custom software made to work smoothly with your CRMs, ERPs and third-party APIs.

5. Improved Security

You can set up security measures more effectively in a custom solution. It is particularly important for industries that handle confidential information, such as finance, healthcare or legal services.

Types of Custom Software Solutions That Are Popular

CRM Systems

Inventory and Order Management

Custom-made ERP Solutions

Mobile and Web Apps

eCommerce Platforms

AI and Data Analytics Tools

SaaS Products

The Process of Custom Development

Requirement Analysis

Being aware of your business goals, what users require and the difficulties you face in running the business.

Design & Architecture

Designing a software architecture that can grow, is safe and fits your requirements.

Development & Testing

Writing code that is easy to maintain and testing for errors, speed and compatibility.

Deployment and Support

Making the software available and offering support and updates over time.

What Makes Niotechone a Good Choice?

Our team at Niotechone focuses on providing custom software that helps businesses grow. Our team of experts works with you throughout the process, from the initial idea to the final deployment, to make sure the product is what you require.

Successful experience in various industries

Agile development is the process used.

Support after the launch and options for scaling

Affordable rates and different ways to work together

Final Thoughts

Creating custom software is not only about making an app; it’s about building a tool that helps your business grow. A customized solution can give you the advantage you require in the busy digital market, no matter if you are a startup or an enterprise.

[jcmarchi]

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

New Post has been published on https://thedigitalinsider.com/stackpack-secures-6-3m-to-reinvent-vendor-management-in-an-ai-driven-business-landscape/

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

In a world where third-party tools, services, and contractors form the operational backbone of modern companies, Stackpack has raised $6.3 million to bring order to the growing complexity.

Led by Freestyle Capital, the funding round includes support from Elefund, Upside Partnership, Nomad Ventures, Layout Ventures, MSIV Fund, and strategic angels from Intuit, Workday, Affirm, Snapdocs, and xAI.

The funding supports Stackpack’s mission to redefine how businesses manage their expanding vendor networks—an increasingly vital task as organizations now juggle hundreds or even thousands of external partners and platforms.

Turning Chaos into Control

Founded in 2023 by Sara Wyman, formerly of Etsy and Affirm, Stackpack was built to solve a problem she knew too well: modern companies are powered by vendors, yet most still track them with outdated methods—spreadsheets, scattered documents, and guesswork. With SaaS stacks ballooning and AI tools proliferating, unmanaged vendors become silent liabilities.

“Companies call themselves ‘people-first,’ but in reality, they’re becoming ‘vendor-first,’” said Wyman. “There are often 6x more vendors than employees. Yet there’s no system of record to manage that shift—until now.”

Stackpack gives finance and IT teams a unified, AI-powered dashboard that provides real-time visibility into vendor contracts, spend, renewals, and compliance risks. The platform automatically extracts key contract terms like auto-renewal clauses, flags overlapping subscriptions, and even predicts upcoming renewals buried deep in PDFs.

AI That Works Like a Virtual Vendor Manager

Stackpack’s Behavioral AI Engine acts as an intelligent assistant, surfacing hidden cost-saving opportunities, compliance risks, and critical dates. It not only identifies inefficiencies—it takes action, issuing alerts, initiating workflows, and providing recommendations across the vendor lifecycle.

For instance:

Renewal alerts prevent surprise charges.

Spend tracking identifies underused or duplicate tools.

Contract intelligence extracts legal and pricing terms from uploads or integrations with tools like Google Drive.

Approval workflows streamline onboarding and procurement.

This brings the kind of automation once reserved for enterprise procurement platforms like Coupa or SAP to startups and mid-sized businesses—at a fraction of the cost.

A Timely Solution for a Growing Problem

Vendor management has become a boardroom issue. As more companies shift budgets from headcount to outsourced services, compliance and financial oversight have become harder to maintain. Stackpack’s early traction is proof of demand: just months after launch, it’s managing over 10,500 vendors and $510 million in spend across more than 50 customers, including Every Man Jack, Rho, Density, HouseRx, Fexa, and ZeroEyes.

“The CFO is the one left holding the bag when things go wrong,” said Brandon Lee, Accounting Manager at BizzyCar. “Stackpack means we don’t have to cross our fingers every quarter.”

Beyond Visibility: Enabling Smarter Vendor Decisions

Alongside its core platform, Stackpack is launching Requests & Approvals, a lightweight tool to simplify vendor onboarding and purchasing decisions—currently in beta. The feature is already attracting customers looking for faster, more agile alternatives to traditional procurement systems.

With a long-term vision to help companies not only manage but discover and evaluate vendors more strategically, Stackpack is laying the groundwork for a smarter, interconnected vendor ecosystem.

“Every vendor decision carries legal, financial, and security consequences,” said Dave Samuel, General Partner at Freestyle Capital. “Stackpack is building the intelligent infrastructure to manage these relationships proactively.”

The Future of Vendor Operations

As third-party ecosystems grow in size and complexity, Stackpack aims to transform vendor operations from a liability into a competitive advantage. Its AI-powered approach gives companies a modern operating system for vendor management—one that’s scalable, proactive, and deeply integrated into finance and operations.

“This isn’t just about cost control—it’s about running a smarter company,” said Wyman. “Managing your vendors should be as strategic as managing your talent. We’re giving companies the tools to make that possible.”

With fresh funding and a rapidly expanding customer base, Stackpack is poised to become the new standard for how modern businesses manage the partners powering their growth.

[besttimeblogs]

Powering the Next Wave of Digital Transformation

In an era defined by rapid technological disruption and ever-evolving customer expectations, innovation is not just a strategy—it’s a necessity. At Frandzzo, we’ve embraced this mindset wholeheartedly, scaling our innovation across every layer of our SaaS ecosystem with next-gen AI-powered insights and cloud-native architecture. But how exactly did we make it happen?

Building the Foundation of Innovation

Frandzzo was born from a bold vision: to empower businesses to digitally transform with intelligence, agility, and speed. Our approach from day one has been to integrate AI, automation, and cloud technology into our SaaS solutions, making them not only scalable but also deeply insightful.

By embedding machine learning and predictive analytics into our platforms, we help organizations move from reactive decision-making to proactive, data-driven strategies. Whether it’s optimizing operations, enhancing customer experiences, or identifying untapped revenue streams, our tools provide real-time, actionable insights that fuel business growth.

A Cloud-Native, AI-First Ecosystem

Our SaaS ecosystem is powered by a cloud-native core, enabling seamless deployment, continuous delivery, and effortless scalability. This flexible infrastructure allows us to rapidly adapt to changing market needs while ensuring our clients receive cutting-edge features with zero downtime.

We doubled down on AI by integrating next-gen technologies from a bold vision that can learn, adapt, and evolve alongside our users. From intelligent process automation to advanced behavior analytics, AI is the engine behind every Frandzzo innovation.

Driving Digital Agility for Customers

Innovation at Frandzzo is not just about building smart tech—it’s about delivering real-world value. Our solutions are designed to help organizations become more agile, make smarter decisions, and unlock new growth opportunities faster than ever before.

We partner closely with our clients to understand their pain points and opportunities. This collaboration fuels our product roadmap and ensures we’re always solving the right problems at the right time.

A Culture of Relentless Innovation

At the heart of Frandzzo’s success is a culture deeply rooted in curiosity, experimentation, and improvement. Our teams are empowered to think big, challenge assumptions, and continuously explore new ways to solve complex business problems. Innovation isn’t a department—it’s embedded in our DNA.

We invest heavily in R&D, conduct regular innovation sprints, and stay ahead of tech trends to ensure our customers benefit from the latest advancements. This mindset has allowed us to scale innovation quickly and sustainably.

Staying Ahead in a Fast-Paced Digital World

The digital landscape is changing faster than ever, and businesses need partners that help them not just keep up, but lead. Frandzzo persistent pursuit of innovation ensures our customers stay ahead—ready to seize new opportunities and thrive in any environment.We’re not just building products; we’re engineering the future of business.

[advancedchatbot]

How Chatlayer's Conversational AI Enhances Lead Generation and Sales

Those days are gone when the only human-like conversations we used to have with fellow humans. It is 2025, and we are already in the future that we have always talked about. We have now set foot in a world where we can converse with robots. Now, that's pretty exciting. According to some, there may come a day when Artificial Intelligence (AI) takes over humans entirely. However, today is not that day. Today, let's appreciate the blessing that AI is to humanity and dive deep into the advantages of conversational AI-powered next-gen chatbots. Sinch Chatlayer This is our mission at Sinch. Our latest enhancement comes through the acquisition of Sinch Chatlayer. A cloud-based software platform that lets businesses create chatbots and voice bots in 100+ languages using Artificial Intelligence (AI) and Natural Language Understanding (NLU). Chatlayer provides analytics directly on the platform. Individual bot messages can be fully analysed and Chatlayer's dashboard features allow administrators to inspect the overall health of a particular bot. Chatlayer SaaS platform easily integrates with all major CRM, ticketing systems, knowledge base, and contact center solutions through our API. AI-based chatbot Artificial intelligence or AI-based chatbots are apps or interfaces that can carry on a human-like conversation using natural language understanding (NLU) or natural language processing (NLP) and machine learning. AI chatbots differ from standard chatbots because they leverage large language models (LLMs) versus traditional conversation flows and pre-programmed responses to generate responses to text and voice inputs. AI chatbots can improve customer experiences with virtual agents trained on a business's content and data, lower costs, and scale customer support. AI chatbot integration AI chatbot integration gives you instant AI-powered support, and Live chat adds the expertise of human agents, ensuring that every customer interaction is efficient and effective. Your customers can reach out to an AI chatbot anytime and get an instant response. Live agents will deliver a personalized experience when needed. Create a custom self-learning AI model based on your existing business data. Answer even the most complex queries with immediate responses using generative AI.

[ankitparmar09]

Is SaaS really dead? Or Is it evolving into something more intelligent?

Satya Nadella’s bold statement, “SaaS is dead,” has sparked debates everywhere. From our perspective as a UX design agency, SaaS isn’t just dying—it’s transitioning into a new era where AI agents will take the lead. Why? Because users no longer want endless features and dashboards to navigate. They want intelligent systems that work for them. AI agents are already showing us the future: 👉 They learn user preferences and behavior. 👉 They make decisions faster and smarter. 👉 They simplify experiences by removing complexity. SaaS isn’t dying because it failed—it’s evolving because users demand better, faster, and smarter solutions. Here’s what we think UX design needs to focus on for this shift: 1️⃣ Design systems that feel intuitive, not intimidating. 2️⃣ AI should enhance, not replace, user control. 3️⃣ Reduce cognitive load with intelligent design. The age of dashboards and feature overload is over. AI-driven agents are the future, and they’re ready to take SaaS to the next level. What do you think? Is the rise of AI agents the next big shift in software design? Let’s discuss it!

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[vabroapp]

Why Scrum/Agile Should Be Your Go-To for Product Development

s your product development process feeling slow, clunky, and inflexible? Scrum/Agile might be the perfect solution! Widely considered the most popular Agile framework, Scrum/Agile offers a fast, adaptable approach that prioritizes continuous value delivery.

Here's why Scrum/Agile is a game-changer for product development:

Maximize ROI & Resource Allocation - Scrum/Agile ditches the traditional top-down approach and empowers your team to self-organize and estimate workloads. This "bottom-up" planning ensures resources are optimized for maximum return across all IT projects.

Boost Collaboration & Transparency - Say goodbye to information silos! Scrum/Agile fosters open communication and real-time project visibility, keeping everyone on the same page and promoting informed decision-making.

Adapt to Change with Ease - The world of product development is anything but static. Scrum/Agile's iterative nature allows teams to quickly adjust to shifting priorities and requirements, ensuring your project stays relevant and on track.

Faster Time-to-Market & Satisfied Stakeholders - Break the cycle of slow product launches! Scrum/Agile's iterative approach delivers valuable product increments in rapid cycles. Built-in feedback loops guarantee stakeholder satisfaction by continuously aligning development with their expectations.

Unlock Innovation & Mitigate Risk - Scrum/Agile empowers teams to leverage diverse skill sets and self-organize for maximum problem-solving power. This fosters innovation and allows for early risk identification, minimizing the impact of unforeseen challenges.

Continuous Learning & Efficiency at Its Core - Scrum/Agile is all about continuous improvement. Teams are encouraged to learn from each iteration, fostering a culture of adaptability and efficiency. This ensures your product development process is constantly evolving to deliver the best possible results.

Ready to streamline your product development and achieve breakthrough results? Scrum/Agile might be the key! How do you think you could implement it effectively?

That's where Vabro comes in. Vabro is an AI-powered SaaS platform specifically designed to support Scrum & Agile methodologies. Vabro offers a robust suite of features to help your IT teams, DevOps, and project managers seamlessly manage workflows, collaborate efficiently, and deliver exceptional results.

Want to see how Vabro can take your Scrum/Agile game to the next level? Discover the Vabro difference for free and see how it can help transform the way teams work.

To know more, please visit Vabro.com.

[arzelace]

5 Trends in ICT

Exploring the 5 ICT Trends Shaping the Future The Information and Communication Technology (ICT) landscape is evolving at a rapid pace, driven by advancements that are transforming how we live, work, and interact. Here are five key trends in ICT that are making a significant impact:

1. Convergence of Technologies

Technologies are merging into integrated systems, like smart devices that combine communication, media, and internet functions into one seamless tool. This trend enhances user experience and drives innovation across various sectors

Convergence technologies merge different systems, like smartphones combining communication and computing, smart homes using IoT, telemedicine linking healthcare with telecom, AR headsets overlaying digital on reality, and electric vehicles integrating AI and renewable energy.

2. Social Media

Social media platforms are central to modern communication and marketing, offering real-time interaction and advanced engagement tools. New features and analytics are making these platforms more powerful for personal and business use.

Social media examples linked to ICT trends include Facebook with cloud computing, TikTok using AI for personalized content, Instagram focusing on mobile technology, LinkedIn applying big data analytics, and YouTube leading in video streaming.

3. Mobile Technologies

Mobile technology is advancing with faster 5G networks and more sophisticated devices, transforming how we use smartphones and tablets. These improvements enable new applications and services, enhancing connectivity and user experiences.

Mobile technologies tied to ICT trends include 5G for high-speed connectivity, mobile payment apps in fintech, wearables linked to IoT, AR apps like Pokémon GO, and mobile cloud storage services like Google Drive.

4. Assistive Media

Assistive media technologies improve accessibility for people with disabilities, including tools like screen readers and voice recognition software. These innovations ensure that digital environments are navigable for everyone, promoting inclusivity.

Assistive media examples linked to ICT trends include screen readers for accessibility, AI-driven voice assistants, speech-to-text software using NLP, eye-tracking devices for HCI, and closed captioning on video platforms for digital media accessibility.

5. Cloud Computing

Cloud computing allows for scalable and flexible data storage and application hosting on remote servers. This trend supports software-as-a-service (SaaS) models and drives advancements in data analytics, cybersecurity, and collaborative tools.

Cloud computing examples related to ICT trends include AWS for IaaS, Google Drive for cloud storage, Microsoft Azure for PaaS, Salesforce for SaaS, and Dropbox for file synchronization.

Submitted by: Van Dexter G. Tirado

[logicielsolutions-offshore]

How AI Is Transforming the SaaS Landscape (And What Your Dev Team Must Do About It)

Artificial intelligence is transforming the SaaS landscape in numerous ways, from automating repetitive tasks and accelerating development cycles to enabling personalized user experiences and smarter product decisions.

For SaaS founders and their dev teams, AI delivers faster release velocity, higher operational efficiency, and insights that would be impossible to achieve manually. It’s also making SaaS MVPs cheaper to build, easier to test, and quicker to scale, making it a critical tool for staying ahead of the competition.

This guide breaks down how AI is changing every stage of the SaaS lifecycle, the AI Development Tools that matter most, and what practical steps your team should take to make AI a real, usable asset without falling into the usual traps.

Before we go any deeper let’s quickly understand the basics.

What is a SaaS Product?

A SaaS (Software-as-a-Service) product is a cloud-based application accessed via a web browser. It’s hosted centrally, updated frequently, and designed for scalability.

SaaS enables continuous delivery, lower upfront costs, and faster go-to-market strategies.

Why “AI in SaaS” Matters More Than Ever, Now?

Artificial intelligence in SaaS is playing a crucial role in transforming product strategy, team operations, and user experience.

As customer demands rise for real-time responses and hyper-personalization, integrating AI isn’t just beneficial, it’s becoming business-critical.

AI SaaS tools bring real-time insights into decision-making and automate repetitive workflows.

AI for startups empowers lean teams with enterprise-grade capabilities.

AI software development tools help detect user needs and optimize feature delivery ahead of time.

From predictive analytics to dynamic pricing, AI product development reduces risk and speeds up iteration.

Today’s most successful AI startup companies embed intelligence from day one and it shows in their growth and agility.

In short: Generative AI startups and established SaaS players are rewriting the rules and those who adopt AI early are leading the way.

What Does the Traditional SaaS Development Process Look Like?

Artificial intelligence is changing everything about how SaaS products are built, but to understand the shift, it’s worth looking at the traditional approach first.

Here’s what the process used to look like before AI:

Ideation: Product teams brainstorm based on intuition or user requests.

Design: Wireframes and flows are manually created using basic tools.

Development: Engineers write code line-by-line with limited automation.

Testing: QA is conducted manually or with rule-based test scripts.

Launch: Releases are slow, gated, and typically require heavy coordination.

Iteration: Insights come from post-launch data and are acted on reactively.

While this process can work, it’s often slow, expensive, and rigid, especially for AI startup companies trying to build and validate SaaS MVPs quickly.

How AI Is Redefining the Rules of SaaS Launch and Growth

AI has turned the traditional SaaS lifecycle into a smarter, faster, and more user-driven process. Each stage, from ideation to go-to-market is now enhanced with automation, prediction, and personalization.

Here’s how AI Software Development Tools are reshaping the way SaaS products are built and scaled:

1. Ideation & Discovery

AI brings data into the brainstorming process. Instead of relying on assumptions, teams can now:

Cluster users into segments using ML models

Extract insights from user feedback using natural language processing (NLP)

Predict what features users want with sentiment analysis and heatmaps

Tools to Explore: Notion AI, OpenAI Embeddings, UserVoice AI

2. Design & Prototyping

Design is now faster and more adaptive, thanks to generative AI. Teams can:

Auto-generate wireframes or UI flows from simple text prompts

Customize layouts using behavioral prediction models

Tools to Try: Uizard, Adobe Firefly, Galileo AI

3. Development & Testing

Code and QA workflows are increasingly automated, reducing manual overhead. AI helps:

Suggest and auto-complete code with tools like GitHub Copilot

Generate test cases automatically

Identify bugs proactively using ML-based anomaly detection

Tools to Try: GitHub Copilot, Testim, Diffblue

4. GTM & Growth

AI empowers product and marketing teams to move faster and with precision. It enables:

Real-time personalization of onboarding flows

Continuous A/B testing powered by ML

Optimized pricing, features, and messaging using predictive analytics

Recommend Tools: Pendo, Mixpanel, ProfitWell

Which SaaS Companies Are Already Winning With AI?

Looking for proof? Here are generative AI startups and established players making waves:

Grammarly: Uses NLP to suggest tone and grammar improvements.

Intercom: Uses AI to auto-route conversations and suggest answers.

Salesforce Einstein: Delivers predictive CRM insights.

Zeme.io (Powered by Logiciel): Leveraged AI product development to help Zeme achieve $24.1M in transaction volume.

Copy.ai: An AI-first MVP that scaled quickly by building lean and learning fast.

What Makes AI Adoption in SaaS So Challenging?

AI brings huge potential, but it’s not plug-and-play. Here’s where teams get stuck:

Data Privacy: Especially tough in finance and healthcare sectors

Legacy Infrastructure: Older systems are harder to modernize

Talent Shortage: Not every SaaS team has ML experts

Black Box Problems: Hard to explain why AI made a specific decision

Tips to Overcome This:

Start with one high-impact use case

Use API-first tools like OpenAI, Claude, or Make.com

Focus on explainability and build user trust

Don’t try to build everything from scratch, partner or integrate instead

How to Get Started With AI in SaaS?

Whether you’re a startup or scaling SaaS, here’s how to adopt AI with purpose:

Start With a Clear Use Case: Prioritize based on ROI like automating support or reducing churn.

Use Low-Code AI Tools: Tools like Zapier AI, Make.com, and Levity help non-engineers implement AI.

Align AI to Product Roadmap: Don’t treat it as a side project, AI should enhance existing goals.

Invest in Trust & Governance: Keep the user informed about what the AI does and why.

Assess your team’s AI readiness now. Book a free consultation call with our AI expert to explore custom AI development strategies.

Conclusion: The Future of SaaS Is AI-Native

SaaS is entering an AI-native era, where users expect smarter, faster, personalized experiences by default. Don’t get left behind waiting for perfection, the best teams are already testing and iterating.

Once you’re clear on direction, a partner like Logiciel with deep AI SaaS MVP and SaaS scale-up experience can help make it real.

Explore how AI can power your next big SaaS idea. Book a free discovery call

Know more at https://logiciel.io/blog/ai-transforming-saas-development

[appson]

Google Rolls Out AI Mode for Indian Users – Here’s What’s New

In a major Google AI launch in India, the company has formally launched its highly-awaited Google AI Mode, providing Indian users with an improved digital experience driven by advanced artificial intelligence. With this, Google seeks to transform Indian users' interaction with its ecosystem—whether search, smart reply, content creation, or productivity functionalities.

With artificial intelligence transforming digital habits all over the world, this launch is a significant development in bringing intelligent tools within reach of one of the world's largest Internet-using populations. The "Google AI Mode", encapsulates the essence of this innovation and puts the tone for an intelligent, quicker, and more individualized digital era.

What is Google AI Mode?

Google AI Mode is a suite of built-in AI capabilities designed to streamline how users interact with Google’s platforms. It enhances features like:

AI-assisted search with real-time suggestions

Smart Compose in Gmail and Docs

Context-aware responses in Google Chat

AI-generated summaries and highlights in Google News

The goal is to provide a more intuitive user experience that understands user intent, behaviors, and language — particularly relevant for India’s multilingual digital population.

🇮🇳 Why India? Strategic Importance Behind the Rollout

India has more than 750 million net users, and the figure is only going up. India's importance to Google arises from the rise in smartphone adoption, service digitization, and demand for automation.

The Google India AI update also conforms to local initiatives such as Digital India and the increasing demand for AI-based services across industries like healthcare, education, and e-commerce.

Google is refining AI Mode to function on various languages such as Hindi, Tamil, Bengali, and Marathi so that it appeals to a larger crowd beyond English-speaking individuals.

Key AI Features in India You Should Know

The release of AI features in India brings several impactful updates:

Multilingual Smart Suggestions: AI Mode understands and predicts inputs in multiple Indian languages.

Voice-Based AI Search: Enhanced voice recognition tailored for Indian accents and dialects.

AI for Google Maps & Lens: Smarter location-based suggestions and real-time AR overlays.

Personalized Assistant Tools: Auto-scheduling, reminders, and smart replies in native languages.

These tools are part of the artificial intelligence updates by Google, specifically fine-tuned for Indian usage behaviors and market needs.

 How Businesses Can Leverage Google AI Mode

With AI becoming a backbone of online engagement, businesses can now integrate smarter tools into their workflow. Whether you're in e-commerce, education, SaaS, or service-based industries, the new features can help you:

Enhance customer support with AI-based chat suggestions

Improve SEO and content creation through smart recommendations

Use Google’s AI integrations in Gmail, Docs, and Ads to save time and increase productivity

Businesses should also pay close attention to the Google AI launch 2025, which will roll out 

How This Affects Your Online Presence

The shift toward AI means your website, content, and SEO strategy must evolve accordingly. If you’re a business owner, adapting to AI-backed search and content delivery is no longer optional—it’s essential.

That’s where expert digital partners come in.

At Appson Technologies, we help businesses prepare for AI-driven change with:

Web Development

Staff Augmentation for tech teams

CMS Development

Digital Marketing to stay visible in AI-enhanced search

E-commerce Website solutions with smart integrations

 How to Prepare for the AI Wave

If you’re in content, marketing, or technology, the changes brought by Google smart features in India will redefine how your brand appears online. Here’s how to prepare:

Upgrade your website's SEO to focus on AI-influenced search behavior

Incorporate schema markup and structured data for better search results

Enable multilingual support on your platform to tap into India's regional markets

Use Google’s AI tools like Bard or AI-generated reports to boost efficiency

 Final Thoughts: What’s Next?

Google AI Mode's launch in India is only the start. With the impending Google AI launch 2025, we can anticipate further developments in real-time processing of information, machine learning implementations, and localized experience.

From AI capabilities in India to AI tools by Google, the world is changing at a tremendous pace. Indian consumers—and companies—are now on the forefront of an intelligent digital tomorrow. To remain ahead is to embrace early, to test constantly, and to welcome these tools in advance. Visit our website appsontechnologies.com/ for more details.

Original Source: https://bit.ly/44g9jC0

[globalindustrypulse]

U.S. ERP Software Market Growth Potential for the Period 2025 to 2032 | At a CAGR of 3.6%

The U.S. Enterprise Resource Planning (ERP) software market size was valued at USD 12.84 billion in 2024, and it is projected to grow from USD 13.29 billion in 2025 to USD 16.99 billion by 2032, registering a CAGR of 3.6% during the forecast period. While growth is moderate, market dynamics are shifting due to increasing demand for integrated platforms, cloud ERP deployment, and regulatory compliance needs across industries.

Key Market Highlights:

2024 Market Size (U.S.): USD 12.84 billion

2025 Market Size (U.S.): USD 13.29 billion

2032 Market Size (U.S.): USD 16.99 billion

CAGR (2025–2032): 3.6%

Market Outlook: Stable growth supported by manufacturing digitization, financial process automation, and cloud migration

Top ERP Vendors in the U.S. Market:

SAP America

Oracle Corporation

Microsoft (Dynamics 365)

Workday

Infor

Epicor Software

Sage Group

Acumatica

Unit4

IFS

Plex Systems

NetSuite (Oracle)

Request for Free Sample PDF: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/u-s-enterprise-resource-planning-erp-software-market-107427

Market Dynamics:

Key Growth Drivers:

Demand for Real-Time Operational Visibility: Organizations increasingly rely on centralized ERP platforms to consolidate finance, inventory, HR, and supply chain data.

Cloud-First IT Transformation: Adoption of cloud-based ERP solutions is accelerating among SMBs and large enterprises for improved scalability and cost-efficiency.

Compliance and Audit Readiness: ERP systems are instrumental in maintaining SOX compliance and audit trails for public and private firms.

Integration with Emerging Tech: ERP platforms are being enhanced with AI, machine learning, and robotic process automation (RPA) for smarter business operations.

Manufacturing Sector Revamp: U.S.-based manufacturers are adopting ERP to support smart factories, procurement digitization, and resource optimization.

Key Opportunities:

AI-Enhanced ERP Modules: Use of AI for demand forecasting, predictive maintenance, and anomaly detection in operations

ERP for Services Sector: Rapid expansion of ERP adoption in healthcare, legal, and professional services for project accounting and compliance

Mid-Market Expansion: Growing availability of modular, affordable ERP offerings for mid-sized U.S. firms

Vertical-Specific ERP: Tailored ERP systems for construction, education, manufacturing, and logistics industries

Mobile and Edge ERP Solutions: Expanding need for mobile-first and field-accessible ERP dashboards

Technology & Application Landscape:

Deployment Models:

Cloud ERP (SaaS)

On-Premises ERP

Hybrid ERP

Key ERP Modules:

Financial Management

Human Capital Management (HCM)

Inventory & Supply Chain Management

Manufacturing & Production

CRM & Order Management

Business Intelligence & Reporting

End Users:

Manufacturing

Retail

Healthcare

Education

Construction

Public Sector

Speak to Analysts: https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/u-s-enterprise-resource-planning-erp-software-market-107427

Recent Developments:

February 2024 – Oracle introduced new GenAI-powered features in Oracle Fusion Cloud ERP for U.S. enterprises, enhancing real-time decision-making and scenario modeling.

July 2023 – SAP launched its Green Ledger initiative within SAP S/4HANA Cloud to help American enterprises track carbon emissions as part of their ERP reporting.

September 2023 – Workday extended its ERP offering for mid-sized U.S. companies with tailored HCM and finance tools, offering a low-code configuration engine.

Trends Shaping the U.S. ERP Market:

AI and Predictive Analytics: ERP systems integrating ML algorithms for forecasting demand, sales, and workforce needs

Composable ERP: Rise of microservices and modular ERP architectures that let organizations customize solutions based on evolving needs

Cybersecurity Integration: Emphasis on data security, access control, and compliance built into ERP layers

IoT and Edge Connectivity: ERP platforms are increasingly linking with smart devices and edge hardware in logistics and manufacturing

User-Centric Interfaces: Simplified dashboards, voice-enabled commands, and mobile app expansion

Conclusion:          

Though the U.S. ERP software market is experiencing steady, moderate growth, the market remains strategically important as enterprises look to digitally transform core business operations. The future of ERP in the U.S. is cloud-first, intelligent, and composable, offering agility, compliance, and performance across verticals. As legacy systems are phased out, ERP vendors that offer modular, AI-powered, and industry-specific solutions will lead the next wave of enterprise efficiency.

Frequently Asked Questions:

1.            What is the projected value of the global market by 2032?

2.            What was the total market value in 2024?

3.            What is the expected compound annual growth rate (CAGR) for the market during the forecast period of 2025 to 2032?

4.            Which industry segment dominated market in 2023?

5.            Who are the major companies?

6.            Which region held the largest market share in 2023?

[datavids]

LET me build your SOFTWARE!

💸 Still paying monthly for software that barely fits? Why not build your own — and make it smarter?

At Honor Tech, we replace overpriced SaaS with custom tools that match your workflows. ✅ No more feature bloat ✅ You own the app ✅ Add AI to save time (smart forms, auto-summaries, task routing)

Let’s stop renting. Let’s build something better. 📩 DM us or visit honortechllc.com

[advancedchatbot]

Best chatbot platform

Sinch is considered the best chatbot platform, offering enterprises AI-driven solutions to automate customer interactions. Its natural language processing feature and multichannel support allow seamless integration and enhance customer service, boosting engagement and efficiency. Sinch offers a personalized and real-time experience that drives business growth.

[hrwebsoftwa]

The Evolution of HRIS Systems: 1990–2025 Timeline

Human Resource Information Systems, commonly known as HRIS human resources platforms, have undergone a dramatic transformation over the last three decades. From the early days of database-driven record-keeping to today’s AI-powered cloud ecosystems, the timeline of HRIS evolution reflects how businesses adapt to technology to better manage their most valuable asset: people.

1990s – The Legacy Era Begins

The concept of HRIS emerged as large enterprises began digitizing payroll and basic employee data. These early systems were expensive, installed on-premises, and operated with limited computing capabilities. HR professionals could use these tools to manage pay slips, tax records, and attendance but lacked real-time insights or flexibility.

2000–2005 – The ERP Wave

As the millennium turned, HR departments saw the rise of integrated Enterprise Resource Planning (ERP) systems that included HR modules. Giants like SAP and Oracle led the way, offering centralized data control. HRIS became more accessible to medium-sized organizations, helping streamline operations like benefits administration, compliance, and performance records.

2006–2010 – Web-based HR Information Systems

The rise of the internet brought about browser-based HR software, making it easier for companies to roll out HRIS without heavy IT investments. Cloud hosting became an emerging trend, reducing dependency on internal servers and making data available remotely. Systems started offering employee self-service portals, where staff could update their profiles, view pay stubs, or request leave.

2011–2015 – The Age of SaaS HR Solutions

Software-as-a-Service (SaaS) disrupted the HR tech landscape. Companies like Workday, BambooHR, and Zoho People introduced lightweight, scalable solutions. These platforms were more user-friendly and allowed customization without deep tech know-how. Small businesses finally had cost-effective HRIS options. The focus shifted to user experience, automation, and mobile-first interfaces.

2016–2020 – Analytics, Integration, and Smart Features

This era marked a shift from operational tools to strategic enablers. HR professionals could now extract meaningful insights using built-in analytics dashboards. Systems integrated with job boards, learning management tools, and communication apps like Slack or Teams. AI made its initial mark with features like resume parsing, chatbots for recruitment, and predictive performance management.

2020–2022 – The Pandemic Reset

COVID-19 accelerated digital transformation like never before. Remote work forced companies to re-evaluate their HRIS capabilities. Cloud-native, mobile-accessible HR software became essential. Time tracking, mental wellness modules, and remote onboarding workflows were added to support hybrid teams. HR software needed to be more than functional—it had to be empathetic and adaptive.

2023–2025 – Intelligence-Driven HR

Today’s HR information systems go beyond managing records—they help design people strategies. AI and machine learning now enable talent forecasting, skill gap analysis, and engagement prediction. Tools suggest training based on role changes, predict attrition risk, and provide sentiment analysis from employee feedback. Personalization is at the heart of every experience—HRIS now empowers individuals while guiding leadership decisions.

What’s Next?

Looking ahead, HRIS systems are expected to become proactive rather than reactive. We anticipate systems that blend with wearable tech for wellness tracking, offer voice-command functions, and use generative AI to automate entire hiring workflows. Compliance and security will remain top priorities, with blockchain potentially enhancing data transparency and control.

Final Thoughts

The journey from spreadsheets to intelligent platforms tells a larger story: HR has transformed from administrative support to a strategic business driver. As technology continues to evolve, so will the expectations from HR systems. Organizations that embrace this evolution not only boost HR productivity but also create environments where people thrive.

Explore Modern HR Software

If you're planning to upgrade or implement your first HRIS system, now is the time. At HRweb, we specialize in delivering smart, cloud-powered HR software that evolves with your needs. Visit HRwebSoftware.com to see how we’re redefining modern workforce management.