#benefits of AI in SaaS

[marketplussolutions]

The Future of SaaS: AI-Driven Solutions Revolutionizing Businesses

xplore the benefits of AI in SaaS, including enhanced customer support, personalization, and data security. Stay ahead in the digital age with AI innovations.

[arokel]

@sydanhaavoilla pyysi Lehto/Riitaoja enkä voinut sanoo ei kun se vetäsi mun tähän shippiin, joten teen parhaani! postaan myös suomeksi ja englanniksi koska en oo varma luetaanko siitä mun tarkoitus suomeksi :') sen sisään on pieni mainitus haavoista, mutta ei se oo graafista! anteeksi siitä ettei oo mitään murteita :< lupaan ettet haluu lukea mun yritystä lol

Title: Sirpaleita

Pairing: Lehto/Riitaoja

Rating: G

Tags: Canon Era, Friends With Benefits, Arguing

(en postaan sitä ao3:lle kunnes tiiän onko se kamalaa haha)

Riitaojalla on sirpale peukalossa, ja Lehtoa vituttaa.

Lehto olettaisi sitä, että Riitaoja henkilönä, joka inisee niin paljon pienistä haavoista, pitäisi sirpale myös tunteellisena katastrofina. Se varmasti näyttää kivuliaalta. Puunsirpale näkyy tummaksi Riitaojan ihon alta, ja iho sen ympäri on punaista ja tulehtunutta. Lehto itse olisi kaivannut tuollaisen sirpaleen pois tuntia sitten.

Riitaoja kuitenkin jättää sen huomiotta. Hän säpsähtää joka kerta, kun peukalo koskee konekiväärin liipaisinta tai virkapuvun villakangasta tai huulien pehmoja ihoja kun hän nyppii niitä hermostuneena. Se saa Lehdon sekoittamaan, ja Riitaoja ei ole sanonut sanaakaan siitä.

Lehto vihdoinkin ei kestä sitä.

‘Etkö poista sitä?’

Riitaoja katsahtaa peukaloa yllättyneenä niin kuin hän olisi unohtanut, että sirpale oli edes olemassa. ‘Ai no. Ei, olen hyvä näin. Se poistuu itseksi aikanaan.’

Lehto ei voi usko hänen korviaan. Sellaiset sanat Lehto sanoisi haavasta, ei Riitaoja. Ne kuulostaa vain väärältä, vaikka piittaamattomuus sopii Riitaojalle kummallisella tavalla, joka saa Lehto haluamaan puraa hänen kuivuneet huulet selville saadakseen, kestäisi Riitaoja senkin kipua.

Sen sijaan Lehto sanoo, ‘parempi, jos poistaisit sen nyt. Se voi infektoitua.’

Ensimmaista kertaa keskustelussa Riitaojan kasvoilta näkyy hermostunut ilme. ‘Olen oikeasti hyvä. Minä en… tykkää pinseteistä. Lapsena en koskaan antanut äitini poistaa puunsirpaleita ihostani. Kestäisin mieluummin näin, oikeasti.’

‘Kestäisitkö mieluummin infektiota?’

Riitaoja epäröi. Lehto löytää tässä hetkessä, että hän vihaa Riitaojan itsepäisyyttä yhtä paljon kun se johtua miehuullisuudesta kuin pelkuruudesta. Saatanan tonttu.

Tilanne olisi helpompaa jos Lehto ei välitä, selviääkö Riitaoja vai kuoleeko. Mutta vaikka ne olevat toisilleen vain lämpimiä kehoja yksinäisillä öisellä, Lehto on pakko myöntää, että hän tuntisi… surulliselta jos Riitaoja kuolaisi infektiosta, jota Lehtoi olisi voinut ehkäistyä.

Lehto kävelee murahtaen Riitaojan luokse tarkastellakseen haavojen. Punaisuus näyttää olevan vain vaivaa, mutta järkevä ei ole riskejä ottamisella. ‘Pitääkö mun pakottaa sua antamaan minun hoitavan sitä, vai pystynkö mä vakuuttaa sun pysymään paikoillasi itkemättä kun teen sitä?’

Vakuuttaminen on uutta asiaa heille, ja se ei sovi Lehdon luonteelle, joten kun Riitaoja sanoo, ‘äitini oli tapa suudella sen paremmaksi,’ Lehto vain ilkkuu.

‘Annan sun mieluummin kärsiä.’

‘No, jos se ei sovi, mitä jos,’ Riitaoja aloittaa. Hän näyttää varovaiselta, toiveikkaalta, ja itsepäisyylliseltä. Lehto tavallaan tykkää siitä. ‘Mitä jos suutelet mua paremmaksi?’

Jos Riitaojan kasvoissa miehehuullisuus näyttää hyvältä, leikkimielisuus näyttää vielä paremmalta.

Lehto murahtaa taas. He molemmat tietävät, ettei hän tarkoita sitä. ‘Älä saatanan itke kun vedän sitä pois. Jos et, niin me katsotaan.’

(ja taas englanniksi)

Riitaoja has a splinter, and it’s driving Lehto up the wall.

He would have thought that, for someone who whines as much about minor scrapes as Riitaoja does, a splinter would be a similar sort of emotional catastrophe. It certainly looks painful - the sliver of wood shows dark beneath his skin and the area surrounding it is red and angry. Lehto would have dug a splinter like that out of his thumb hours ago.

But Riitaoja seems to be ignoring it. He winces every time his irritated thumb touches the trigger of his gun, or the wool of his uniform, or the soft skin of his lips as he picks at them nervously. It’s driving Lehto insane. And Riitaoja hasn’t said a word about it.

Finally, Lehto snaps.

“Aren’t you going to take that out?”

Riitaoja looks down at his thumb in surprise, as if he’d forgotten the splinter was even there. “Oh. No, I’m fine. It’ll come out on its own eventually.”

Lehto almost can’t believe his ears. That’s the kind of thing he would say about a wound, not Riitaoja. It just isn’t right, even if an uncaring attitude towards pain looks good on Riitaoja in a way that makes Lehto want to bite those chapped lips to see if he’d take that in stride as well.

“Better to take it out sooner. It could get infected,” he says instead.

For the first time, a flicker of unease passes over Riitaoja’s face. “I’d really rather not. I don’t… like tweezers. As a kid I’d refuse to let my mom take out splinters. I prefer this, really.”

“Would you prefer an infection, too?”

Riitaoja hesitates. Lehto is learning that he hates Riitaoja’s stubbornness just as much when it’s stoic as when it’s cowardly. Damned fool.

It would be easier if Lehto still didn’t care whether Riitaoja lived or died. But though they’re nothing more to each other now than a warm body on lonely nights, Lehto would be… sad, he has to admit, if Riitaoja were to die of an infection Lehto could have prevented.

With a growl, he stalks over to Riitaoja to examine the wound himself. The redness looks to be merely irritation, but there’s no sense in taking chances they don’t have to take. “Do I have to force you to let me deal with it, or can I convince you to sit through it without putting up a fuss?”

Convincing is new to the two of them, too, and it doesn’t sit easily with Lehto’s disposition. As such, when Riitaoja says, “my mother used to offer to kiss it better,” Lehto can only scoff.

“I’d rather let you suffer.”

“Well, then, how about,” Riitaoja says. He’s tentative, hopeful, and stubborn in a way Lehto almost likes. “How about you kiss me better?”

If stoicism is a good look on him, tenacity is even better.

Lehto growls again. They both know he doesn’t mean it. “Don’t fucking cry when I pull it out. Then we’ll see.”

[shivamthakrejr]

Pushing Boundaries: Sachin Dev Duggal's Builder.ai's Contribution to AI's Rapid Advancements

Builder.ai's Chief Wizard and Founder, Sachin Dev Duggal, recently engaged in a fireside chat with Jennifer Strong, Executive Producer at SHIFT Podcast at Web Summit Qatar 2024 The discussion centered on Builder.ai's simplified AI-powered app-creation process and the strategies for SaaS companies to scale into, and beyond, the no-code future.

Sachin Duggal talked about how Builder.ai creates apps differently by using artificial intelligence. He also shared that their goal is to make app-building easier for everyone, no matter if they know about technology or not.

"Builder.ai's simplified AI-powered app-creation process represents a significant shift in the software development landscape," remarked Sachin Dev Duggal. "Our platform empowers individuals and businesses to bring their app ideas to life without the need for extensive coding knowledge. By harnessing the power of AI, we've democratized app development, enabling anyone to create high-quality, customized applications efficiently."

Jennifer Strong, a top podcast producer, discussed how Builder.ai's strategy impacts Software-as-a-Service (SaaS) companies looking to expand in the rapidly changing world of no-code technology. They talked about the benefits and difficulties of the no-code revolution and how businesses can use Builder.ai and similar platforms to boost their creativity and success.

[govindhtech]

IBM Maximo AWS Deployment Strategies

The Business Value of IBM Maximo, a recent IDC report that surveyed 9 companies with an average of 8,500 employees, found that adopting IBM Maximo resulted in a business benefit of USD 14.6 million per year per organization, 43% less unplanned downtime, and USD 8.6 million in total equipment cost avoidances.

One comprehensive, cloud-based application platform for asset monitoring, management, predictive maintenance, and reliability planning is IBM Maximo Application Suite (MAS). Maximo optimizes performance, extends asset lifecycles, and reduces downtime and costs for high-value assets using AI and analytics. Hosting Maximo on a scalable infrastructure maximizes performance, hence the current tendency is to shift it to the cloud. In this trip, MAS migration and deployment on AWS Cloud are gaining popularity.

The growing demand for Maximo AWS Cloud migration

Migrating to cloud helps enterprises improve operational resilience and dependability while updating software with minimal effort and infrastructure constraints. Due to the growing demand for data-driven asset management, firms must aggregate data from diverse departments to identify trends, generate predictions, and make better asset management decisions.

Last April, IBM said Maximo 7.6 and add-on support would stop in September 2025. All Maximo EAM customers must upgrade to the latest cloud-based MAS. Maximo migration and modernization are become increasingly significant to clients.

IBM has released new containerized versions of Maximo Application Suite as a Service (MAS SaaS) on AWS Marketplace with Bring Your Own License (BYOL) to assist Maximo migration to AWS. MAS SaaS on AWS is another milestone in Maximo’s integration of Monitor, Health, and Visual Inspection into a unified suite.

What makes MAS SaaS distinct

IBM Site Reliability Engineering (SRE) specialists use best practices to continuously maintain and administer MAS SaaS, a subscription-based AWS service. This partnership gives customers an industry-leading IBM asset management system underpinned by AWS’s size, agility, and cost-efficiency.

Upgrades and migrations to MAS 8 are possible with MAS SaaS. The data update is similar to prior upgrades, but ROSA and other dependencies require architecture changes. The migration is comparable to how clients transitioned from on-premise to Maximo EAM SaaS Flex, but with MAS changes. Perpetual on-premises customers would stop paying Service & Support (S&S) and purchase a SaaS subscription, on-premises Subscription License customers would start a new subscription, and existing MAS Flex and MAS Managed Service customers would start a new subscription to migrate to MAS SaaS.

Our IBM Consulting Cloud Accelerator (ICCA) technology lets firms plan migration and upgrade strategies before investing.

Maximo migration strategy of a global energy firm

IBM worked closely with an energy company confronting the following challenges:

Infrastructure needed for latest Maximo version takes longer.

WebSphere, Maximo’s core, experienced high-availability and performance difficulties.

Lack of data fabric and integration layer hinders cross-application data interchange.

Complex setup, failures, and security with manual end-to-end deployment.

Since Maximo Application Suite 8 (MAS8) tackles industry issues like failure risk, escalating maintenance costs, sustainability, and compliance laws, the customer chose it. The client chose AWS Cloud for its deployment flexibility, scalability, high availability, and secure architecture. 

Approach to solution

This is how IBM accelerated the energy company’s Maximo move to AWS:

Used Infra as a code to upgrade Maximo from 7.6.0.9 to 7.6.1.2.

IaC allowed instance spin-up for auto scaling. This automation reduces the time to spin up and execute the new environment and addresses multi-AWS availability zone deployment latency.

Used AWS DMS for data migration and schema conversion.

IaC spun the DR environment on demand to reduce database replication (DR) infrastructure and expense. DR capabilities update data in availability zone and DR area.

Achieved data exchange across applications using IBM Cloud Pak for Data and standardized integration using IBM Cloud Pak for Integration components.

Solution components

Maximum Enterprise Application Management (EAM) has a 3-tier design with these components:

HTTP/Web Tier and Application Tier using IBM WebSphere and HIS installed EC2 instance under private subnet for application security.

Database Tier uses AWS Oracle RDS with replication for DR under private subnet.

AWS best practices were used to configure VPC with public and private subnets.

Application servers and deployment manager were autoscaled by Auto Scaling Group. 

Maximum web-based UI resolution for external access using AWS Route 53.

WAF was the initial line of defense against web exploits.

Integration of Terraform and CFT IaC scripts provided autoscaling architecture.

AWS Reference Architecture

Max on RedHat OpenShift Service on AWS (ROSA) helps clients

Containerized MAS 8.0 runs on RedHat OpenShift. AWS, IBM, and RedHat developed an IBM MAS on ROSA reference architecture to help customers inexperienced with production containerization. ROSA, a fully managed, turnkey application platform, supports IBM MAS configuration and offloads cluster lifecycle management to RedHat and AWS, allowing organizations to focus on application deployment and innovation. This means IBM MAS clients don’t need to develop, administer, or maintain RedHat OpenShift clusters.

Operating Model and Maximo Migration

Top 3 Maximo AWS migration accelerators

Clients can migrate to the cloud using three IBM MAS deployment methods on AWS Cloud:

ROSA-powered MAS SaaS on AWS

ROSA-powered AWS MAS

Customer-hosted ROSA

Why use customer-hosted ROSA

The customer-hosted ROSA option for hosting IBM MAS in a customer’s VPC with ROSA is powerful. ROSA is perfect for MAS deployments because it seamlessly deploys, scales, and manages containerized applications.

The benefits of this choice are enormous. Full control over the infrastructure while still subject to the organization’s monitoring, controls, and governance standards allows businesses to customize and adjust the environment to their needs. This control includes adding MAS integrations and enforcing cloud security and governance requirements. ROSA charges are combined into one AWS bill and drawn from any AWS enterprise agreement, simplifying financial management.

AWS enterprise agreements and Compute Savings Plans offer infrastructure savings for MAS implementations. Because the ROSA cluster operates under the customer’s AWS account, customers can buy upfront ROSA contracts and get a one-year or three-year ROSA service charge discount.

Why IBM for Maximo AWS migration?

Any modernization effort must include cloud migration. Cloud migration is not a one-size-fits-all method, and each organization faces unique cloud adoption difficulties.

IBM Consulting’s Application Modernization offering helps clients migrate and modernize AWS applications faster, cheaper, and more efficiently, reducing technical debt and accelerating digital initiatives while minimizing business risk and improving business agility.

IBM offers unique cloud migration services to accelerate customer application migration to AWS:

Cloud migration factory capabilities including proven frameworks and processes, automation, migrating templates, security policies, and AWS-specific migration squads speed up delivery.

IBM Garage Methodology, IBM’s cloud services delivery capabilities, ROSA, and AWS Migration tools and accelerators accelerate migration and cloud adoption.

ICCA, IBM’s proprietary framework for migration and modernization, reduces risk. ICCA for AWS Cloud automates various modernization procedures, simplifying and speeding up company agility. Before investing, businesses can plan migration and modernization strategies. Discover IBM Consulting Cloud Accelerator for AWS Cloud.

Our well-defined pattern-based migration methodology includes re-factor, re-platform, and containerization using AWS managed services and industry-leading tools to remove and optimize technical debt.

Finally, IBM offers customizable t-shirt-sized price models for small, medium, and large migration sizes, ensuring clients’ migration scope is obvious.

IBM helps clients migrate applications, like Maximo to AWS Cloud

In conclusion, clients seek IBM’s expertise to:

1.Upgrade Maximo 7.6x (expiring 2025) to MAS 8. 

2.On-premise workload to AWS Cloud for elastic, scalable, and highly available infrastructure and runtime

IBM Consulting can help

AWS Premier Partner IBM Consulting accelerates hybrid cloud journeys on the AWS Cloud by leveraging business and IT transformation skills, processes, and tools from many industries. On AWS Cloud, IBM’s security, enterprise scalability, and open innovation with Red Hat OpenShift enable enterprises grow swiftly.

BM Consulting develops cloud-native apps in AWS Cloud with 21,000+ AWS-certified cloud practitioners, 17 validated SDD programs, and 16 AWS competencies. IBM Consulting is the best AWS partner due to acquisitions like Nordcloud and Taos, advancements at IBM Research, and co-development with AWS.

Read more on Govindhtech.com

[proteustechnologies]

What should I look for in an ERP solution

Everyone says that they have an ERP solution at a wide range of price points. How do I choose one for my SME

Longevity

Check if the ERP solution would meet your requirement 5 years from now when you grow say 5X, add new manufacturing locations, add different lines of business. ERPs not only need to address the growth volume of your business but need to adapt to the business process changes required as you grow.

How easy it is to use

Can your average user learn and adapt easily, this is more relevant for SME organizations trying to embrace ERPs , as they are not in a position to employ specially trained skills for ERP implementation or operations. Your cloud ERP should be intuitive to use and as simple and easy as an e-commerce website. Make sure that the user experience is simple and follows the typical standards of any web application.

A SaaS model helps

A SaaS based ERP allows you to start with very low opex costs and minimal investment. Your opex increases as your business grows and you have a more rational approach towards investment in technology.

What about open source

One major advantage of open source solutions is that there is no license cost to acquire it. Other than that, open source solutions really don't provide any additional benefits to the end customer, most of whom would like to concentrate on their business, rather than trying to change or modify the source code. Secondly since it is open source, support and feature enhancements are driven by the community and the community should be as eager as you to add a feature .

Check the total cost of ownership of open source solutions.

1.Requirement understanding costs

2.License costs

3.Hosting or cloud costs and all the licenses required to run the open source

4.Support costs

5.Cost and reliability of making changes in the solution

The connected EcoSystem

Organizations need to leverage on the connected ecosystem. Does your ERP provide open and easy connectivity to marketplaces, statutory bodies, vendor and customer systems, banks and financial intermediaries. Does it have the capability to provide APIs for easy and quick integration and implementation.

What about AI in ERP?

A number of ERP vendors have started incorporating AI in their ERP solutions, and most of them are Cloud ERP providers. It is impossible to incorporate the infrastructure required for AI on an stand alone ERP system, the costs become prohibitive. Cloud ERPs can build AI capabilities leveraging the cloud infrastructure and share the same infrastructure with all the users.

There are already a number of use cases where AI can be used in an ERP, for instance read unstructured documents / emails using AI and convert them to Sales orders, Expenses, GRN in the ERP. Flag transactions which seem irregular by nature, detect fraud or suspicious transaction, increase planning accuracy using AI, continuous auditing, realtime evaluation of your business partners and Ai driven business analytics and Insights

To conclude

Though most ERP vendors will try and match your requirement document either "out of the box" or by so called "minor" customisation, you need to look beyond the current requirements and ensure that your ERP vendor has a track record of adapting and leveraging trends in technology so that you will be able to stay ahead in the future.

Visit Our Site To Know More :-https://proteustech.in/

[juealhossain]

Aiwhitelabels Diamond: Revolutionary AI Suite for Unique SaaS Businesses

Aiwhitelabels Diamond is the first AI suite that creates and markets unique AI SaaS ‘box businesses’ for you.

What is Aiwhitelabels Diamond?

Aiwhitelabels Diamond is a powerful tool that helps you create and market AI tools. It's designed for anyone, even if you have no coding skills. You can create custom AI apps in minutes.

Benefits of Aiwhitelabels Diamond

Access to Aiwhitelabels Premium

Access to all upgrades available

Tutorials and knowledge-base

No monthly fees or hidden costs

Access to all bonuses available

Commercial rights to sell campaigns to clients

Agency rights to integrate clients into your account

Unique Features of Aiwhitelabels Diamond

Easy No-code Ai Tool Builder

Create and launch your own AI tools with a simple drag-and-drop builder. There is no coding involved. Just click a few buttons to create any kind of app in minutes. These apps are ready to share via a link or embed anywhere.

3-in-1 App: Custom Ai Tools, Custom Branding, & Custom Marketing

Not only can you create a 100% unique AI app, but you can also leverage done-for-you marketing. This helps sell your specific app with videos, posts, copy, and more.

Hundreds Of Ready-made Ai Tool Templates

We’ve loaded tons of proven apps that you can customize, rebrand, and start selling to customers in minutes.

Opt-in Forms & Autoresponder Integration

Build a list fast by giving away awesome apps for free! Aiwhitelabels can put your apps behind an opt-in form and connect to your autoresponder in a couple of clicks.

Embed Or Host Ai Apps With A Link

Every AI app is hosted for free on our servers and has a unique shareable link. You can also embed your apps anywhere. No downloads, no coding, and no hidden costs.

Full Customization Of App Functions

Make each AI app fully unique and function exactly how you want it. Create ultra-customized apps for specific businesses and business needs.

Customize Color & Style Of Ai Apps

Let users customize the style of their apps when they get embedded. Customize color, background image, and more of their AI apps.

Stripe Payment Integration

Turn your apps into cash with simple Stripe integration. No coding needed — just flip a switch, and your app page will automatically collect payments before granting access to using your AI app.

Fully Re-brandable - 100% Whitelabel Ability

Quickly rebrand your AI tool with brand logos, colors, and a domain — no special skills needed.

Drag-and-drop App Website Builder

Build beautiful, high-converting lead and sales pages that sell your AI tools for you, 24/7. Leverage AI copy tailored to your custom AI tool business and customize everything with a simple drag-and-drop editor.

Dfy Sales Pages & Site Templates

We’ve created tons of done-for-you page templates to help you sell or give away your AI tools. Just select the template you like, add your branding, and your payment/autoresponder.

Why Choose Aiwhitelabels Diamond?

Aiwhitelabels Diamond offers a unique opportunity for businesses to create and market AI tools without any coding knowledge. It’s perfect for entrepreneurs, small business owners, and agencies looking to expand their offerings.

No Coding Required

With the easy drag-and-drop builder, you can create custom AI tools in minutes. There’s no need to learn complex coding languages.

Custom Branding

Make your AI tools stand out by adding your branding. Customize colors, logos, and domains to make your tools truly unique.

Dfy Marketing

Aiwhitelabels Diamond provides done-for-you marketing materials to help you sell your AI tools. This includes videos, posts, copy, and more.

Commercial And Agency Rights

With commercial and agency rights, you can sell your AI tools to clients or integrate them into your own business. This opens up a whole new revenue stream.

Frequently Asked Questions

What Is Aiwhitelabels Diamond?

Aiwhitelabels Diamond is an AI suite that creates and markets AI SaaS ‘box businesses’ for users.

How Does Aiwhitelabels Diamond Work?

It uses no-code editing to create custom AI tools and markets them with AI-driven strategies.

Can I Create Custom Ai Tools With No Coding?

Yes, Aiwhitelabels Diamond allows you to create AI tools without any coding skills required.

What Types Of Ai Tools Can I Create?

You can create a variety of custom AI tools, suitable for different business needs and purposes.

Conclusion

Aiwhitelabels Diamond is the first AI suite that creates and markets unique AI SaaS ‘box businesses’ for you. It offers a range of features and benefits that make it an invaluable tool for anyone looking to create and sell AI tools. With no coding required and done-for-you marketing, it’s never been easier to start your own AI business.

Ready to get started? Click here to learn more about Aiwhitelabels Diamond and how it can help you create and market unique AI tools.

[jcmarchi]

Inna Tokarev Sela, CEO and Founder of illumex – Interview Series

New Post has been published on https://thedigitalinsider.com/inna-tokarev-sela-ceo-and-founder-of-illumex-interview-series/

Inna Tokarev Sela, CEO and Founder of illumex – Interview Series

Inna Tokarev Sela, the CEO and Founder of Illumex, is transforming how enterprises prepare their structured data for generative AI. Illumex enables organizations to deploy genAI analytics agents by translating scattered, cryptic data into meaningful, context-rich business language with built-in governance.

The platform automatically analyzes metadata to locate and label structured data without moving or altering it, adding semantic meaning and aligning definitions to ensure clarity and transparency. By creating business terms, suggesting metrics, and identifying potential conflicts, Illumex ensures data governance at the highest standards.

With Illumex, analytics agents can interpret user queries with precision, delivering accurate, context-aware, and hallucination-free responses. Under Inna’s leadership, Illumex is setting a new benchmark for AI readiness, helping businesses unlock the full potential of their data.

What inspired you to found illumex, and how did your experiences at Sisense and SAP shape your vision for the company?

The vision for illumex emerged during my studies, where I imagined information being accessible through mindmap-like associations rather than traditional databases – enabling direct access to relevant data without extensive human consultation.

My time at SAP taught me the fundamentals of building enterprise software and scaling operations. Working across product development with SAP HANA cloud platform and business initiatives like the startup partnership framework gave me deep insights into enterprise customer needs. It revealed a significant gap between how companies approach data practices and what end users actually need.

At Sisense, building the AI practice from scratch demonstrated the immense value AI could bring to customers. Seeing this impact, combined with the rise of SaaS and GenAI technologies, convinced me the timing was right to launch illumex in 2021.

illumex focuses on Generative Semantic Fabric. Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics?

illumex pioneered Generative Semantic Fabric – a platform that automates the creation of human and machine-readable organizational context and reasoning. This platform unifies the experience of both LLM-based generative AI and business applications for technical and non-technical users around shared context.

This single fabric delivers two major benefits: it streamlines data management through the automation of up to 80% of data engineering tasks and enables non-technical users to access analytics with built-in governance, explainability, and accuracy. Both of these benefits address a multi-billion dollar market for enterprise decision-making.

Think of it as a digital playground where machines, humans, and applications interact spontaneously without pre-programming. This aligns with our vision of an application-free future, where instead of juggling multiple tools like sheets, analytics, financial systems, and customer amanagement, you simply express your task, and it’s completed seamlessly. Generative Semantic Fabric is the foundation for this future.

What were some of the key challenges you faced in the early days of illumex, and how did you overcome them?

In 2021, despite the fact that generative AI semantic models have existed since 2017, and graph neural nets have existed for even longer, it was a tough task to explain to VCs why we need automated context and reasoning. Even defining it back then was a tough task.

I would say the biggest challenge was to really spring this excitement about this future technology and future market. And I was very fortunate to meet forward-thinking investors who believed in me.

How does illumex empower organizations to become AI-ready, and why is this transition critical in today’s business landscape?

The business world is splitting into two camps: companies that recognize and capitalize on AI as a transformative force akin to the Internet and those that miss or delay understanding this opportunity.

illumex meets organizations wherever they are in their AI journey. We prepare their data for generative AI implementation, augment and govern organizational logic and context, and enable the deployment of agent analytics and orchestration.

Our full-stack GenAI implementation platform for structured data elevates any company’s landscape to effectively leverage these advanced technologies.

illumex emphasizes “hallucination-free” generative AI responses. How does illumex ensure deterministic and reliable outputs?

illumex builds on pre-existing business ontologies – knowledge graphs capturing industry-specific terminology, workflows, and processes across sectors like pharma, retail, and manufacturing, as well as business functions like finance, HR, and supply chain.

When onboarding customers, we automatically retrain these ontologies on their metadata. Within days, companies can search their data, validate results, and identify issues like duplicates or conflicts.

The agentic analytics chatbot provides complete transparency – showing how questions are interpreted and mapped to the customer ontology and then to data. This transparency, combined with automated data validation, ensures deterministic, hallucination-free answers. Additionally, governance teams can pre-validate potential responses since the context embeds all possible questions and their permutations in advance.

How does illumex differentiate itself from traditional approaches like Retrieval-Augmented Generation (RAG)?

While RAG attempts to customize off-the-shelf AI models by feeding them organizational data and logic, it faces several limitations. It’s a black box – you can’t determine if you’ve provided enough examples for proper customization or how model updates affect accuracy. It also relies on data scientists who may lack business context, making it difficult to fully capture organizational logic.

Additionally, RAG consumes around 80% of AI infrastructure and tokens just for fine-tuning rather than actual use, raising ROI concerns. It also lacks built-in governance – there’s no way for compliance teams to validate training adequacy or ensure proper access controls.

illumex’s Generative Semantic Fabric (GSF) addresses these challenges through automated context building without consuming external AI tokens. It eliminates the need for specialized data scientists and provides complete transparency in mapping and reasoning through web, Slack, or Teams interfaces. GSF includes built-in governance and explainability, clear indicators of organizational coverage and data quality, and automated quality assessment for question-answering capabilities.

Many businesses struggle with making data-driven decisions despite investing heavily in data infrastructure. Why do you think this gap exists, and how does illumex address it?

The gap between data investment and effective decision-making continues to widen as data volumes explode, both internally and externally. Organizations now face not just their own growing data but also an array of external sources – from weather APIs to industry cloud platforms sharing healthcare data across European institutions, plus synthetic data for various use cases.

The challenge is that organizations still rely on humans for critical data tasks like modeling, quality assessment, and dashboard creation. Yet the scale and complexity of modern data environments make it increasingly impossible for human teams to effectively classify data, assess its quality, and ensure it’s suitable for AI-driven analytics and automation.

illumex bridges this gap by automating these traditionally manual processes, enabling organizations to effectively manage, validate, and utilize their expanding data landscape for meaningful business decisions.

What industries have been the quickest to adopt illumex’s platform, and what unique challenges or opportunities have you observed in these sectors?

We’re seeing the fastest adoption in industries that sit at the intersection of data intensity and heavy regulation, where companies need robust automation of data quality monitoring, usage tracking, and conflict detection. Financial services, pharmaceuticals, and retail/e-commerce are leading the charge, as these sectors aim to rapidly reinvent themselves using their existing data assets while navigating complex regulatory requirements.

With generative AI evolving rapidly, what advice would you give to enterprises looking to integrate AI effectively and responsibly?

Start by developing a clear strategic plan that identifies specific use cases and the business imperatives driving AI adoption. It’s crucial to avoid creating new silos of AI technology that operate in isolation from existing systems.

Instead, build a unified platform that integrates data management, analytics, and generative AI capabilities. Keeping AI initiatives disconnected from established governance practices not only creates significant risks but also leads to increased costs. The key is to create a shared infrastructure that supports all these functions while maintaining proper oversight.

With AI adoption accelerating, what trends do you see shaping the enterprise AI landscape over the next 3–5 years?

Two major trends are emerging in the AI landscape. First, agentic analytics is gaining momentum, allowing for more sophisticated data analysis and insights. Second, we’re seeing a shift toward agentic orchestration, which enables workflows based on collaboration between multiple AI models with diverse functionalities.

This orchestration moves us beyond single-purpose applications toward more comprehensive solutions. For example, in healthcare, instead of isolated applications for specific tasks, think about automation of the entire physician office workflows – combining image scanning, prescription processing, and drug recommendations in one seamless system.

These advancements rely on a robust generative semantic fabric to ensure accurate data access, shared context and coordination between AI agents. This foundation will be crucial for enabling both agentic analytics and orchestrated AI solutions to reach their full potential.

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

[aristonitservices]

5 Most Ignored Aspects in Software Sales

Introduction

The software industry is growing rapidly, with global software revenues expected to surpass $1.4 trillion by 2025. However, despite this booming market, many software companies struggle with sales. While pricing, marketing, and product features often take center stage, some critical aspects of software sales are frequently overlooked.

Ignoring these elements can lead to lost deals, increased customer churn, and poor long-term business growth. In this blog, we’ll uncover five commonly ignored aspects in software sales and how addressing them can help companies boost revenue and customer satisfaction.

1. Understanding the Customer’s Pain Points

One of the biggest mistakes in software sales is focusing too much on the product rather than the problems it solves. Sales teams often rely on pre-scripted pitches and generic feature lists, assuming the software’s capabilities will impress customers.

Why this is a problem:

o Not all customers have the same challenges.

o A one-size-fits-all pitch fails to connect with buyers.

o Customers buy solutions, not just software.

What to do instead:

o   Conduct discovery calls to understand customer pain points.

o   Customize your sales pitch based on the specific needs of each prospect.

o   Use case studies and real-world examples to show how your software solves problems.

Example: A SaaS company selling CRM software saw a 25% increase in conversions after shifting from a feature-based sales pitch to a problem-solving approach tailored to each client’s industry.

2. The Role of After-Sales Support & Customer Success

Many software sales teams consider their job done once the deal is closed. However, failing to support customers post-purchase can lead to low retention rates and poor brand reputation.

Why this is a problem:

o   Customers need training and onboarding to use the software effectively.

o   Poor post-sale support increases churn.

o   86% of customers say good customer service turns them into repeat buyers (HubSpot).

What to do instead:

o   Offer personalized onboarding to ensure customers get value from the software.

o   Provide proactive customer success teams to assist clients before they experience issues.

o   Use automated check-ins and feedback loops to track customer satisfaction.

Example: A cloud security software provider reduced churn by 40% by implementing a structured onboarding process with dedicated account managers.

3. Value-Based Selling Over Feature Dumping

Sales reps often get excited about product features and overwhelm prospects with technical jargon and long lists of functionalities. However, customers don’t care about how many features your software has—they care about how it benefits them.

Why this is a problem:

o   Too many features can confuse and overwhelm buyers.

o   Customers may not see how features translate into actual value.

o   A feature-focused pitch can lead to price objections.

What to do instead:

o   Sell outcomes, not just features. Instead of saying, “Our software has AI-powered automation,” say, “Our software reduces manual work by 40%.”

o   Highlight ROI (Return on Investment) by explaining how the software saves time, reduces costs, or increases efficiency.

o   Use real-world scenarios to show how the software solves problems.

Example: A project management software company increased sales by 30% after shifting from a feature-focused sales approach to a value-driven sales strategy that emphasized productivity gains for businesses.

4. Leveraging Data and Customer Insights

Many software sales teams fail to use data effectively, relying on guesswork instead of insights. By leveraging customer analytics, CRM data, and behavioral insights, companies can make smarter sales decisions.

Why this is a problem:

o   Sales teams miss cross-sell and upsell opportunities.

o   Lack of customer insights leads to poor engagement strategies.

o   Decisions based on intuition rather than data are less effective.

What to do instead:

o   Use CRM tools to track customer interactions and preferences.

o   Implement predictive analytics to identify high-potential leads.

o   Use data-driven personalization to tailor offers based on customer behavior.

Example: A subscription-based software company boosted revenue by 22% by using customer data to identify the best time to offer upgrade recommendations.

5. Building Long-Term Relationships vs. One-Time Deals

Many software sales teams focus on closing the deal rather than nurturing long-term relationships. However, retaining existing customers is 5x cheaper than acquiring new ones.

Why this is a problem:

o   Overemphasis on new sales leads to high customer churn.

o   Companies miss opportunities to increase lifetime value (LTV).

o   Poor relationship management leads to negative word-of-mouth.

What to do instead:

o   Prioritize customer engagement and relationship-building.

o   Offer loyalty programs, exclusive webinars, and value-added services.

o   Encourage referrals and testimonials from satisfied clients.

Example: A software company increased referrals by 50% after introducing a loyalty program rewarding long-term customers with discounts and early access to new features.

Conclusion

Software sales require more than just a great product and a strong pitch. Understanding customer pain points, providing excellent post-sales support, focusing on value rather than features, using data effectively, and building long-term relationships is crucial for sustained success.

By addressing these five often-ignored aspects, software companies can not only boost their conversion rates but also improve customer satisfaction and retention.

Looking for more ways to stay ahead in the digital world? Explore what we’re building. Visit our website!

[factr3232]

Maximizing Efficiency with Agentic AI: Revolutionizing Workflow Automation

In today's fast-paced digital world, businesses are constantly seeking innovative solutions to streamline operations, reduce costs, and enhance productivity. Enter Agentic AI SaaS, a game-changing platform that brings artificial intelligence to the forefront of workflow automation. Whether you’re a small startup or a large enterprise, Agentic AI offers cutting-edge AI SaaS solutions that help businesses automate their workflows effortlessly—without the need for complicated coding or technical expertise.

What is Agentic AI?

Agentic AI is a powerful AI SaaS platform that leverages artificial intelligence to automate business processes and workflows. It’s designed to be user-friendly and doesn’t require any coding knowledge, making it perfect for companies seeking no-code workflow automation. With Agentic AI, businesses can streamline tedious and repetitive tasks, improving operational efficiency, saving time, and reducing human error.

The Power of No-Code Workflow Automation

One of the standout features of Agentic AI is its no-code workflow automation. Traditional automation tools often require users to have a solid understanding of programming languages and technical skills. However, with Agentic AI no-code workflow automation, users can design, implement, and manage automated workflows through an intuitive, drag-and-drop interface.

This feature is especially beneficial for businesses with limited technical resources or teams who need to automate complex workflows quickly. Whether it’s automating customer support tickets, managing marketing campaigns, or streamlining HR processes, Agentic AI no-code workflow automation empowers organizations to accomplish more without the need for a dedicated development team.

Benefits of Agentic AI for Businesses

Enhanced Efficiency and Productivity By automating repetitive tasks and workflows, businesses can free up valuable time and resources. Employees can focus on higher-value tasks, leading to increased overall productivity.

Cost Savings Automating workflows with Agentic AI eliminates the need for manual intervention, reducing labor costs and minimizing the risk of costly human errors.

Scalability As your business grows, Agentic AI grows with you. The platform’s flexibility ensures that your workflows can scale with your business, handling increased complexity with ease.

Improved Accuracy and Consistency Automation ensures that tasks are completed accurately and consistently, reducing the likelihood of mistakes and discrepancies in your processes.

Faster Decision-Making With automation in place, data is processed in real-time, enabling faster decision-making and quicker response times to market demands.

Real-World Use Cases: How Businesses are Leveraging Agentic AI

Let’s look at some real-world examples of how companies are using Agentic AI no-code workflow automation to transform their operations:

E-commerce Platforms: Online stores can automate inventory management, order processing, and customer feedback collection, ensuring a seamless shopping experience for customers while reducing manual labor.

Marketing Agencies: Agentic AI automates lead generation, campaign tracking, and social media management, allowing agencies to focus on strategic tasks rather than routine manual work.

Customer Service Teams: By automating ticket routing, FAQs, and chatbots, support teams can deliver faster and more accurate responses to customer inquiries, boosting satisfaction.

Why Choose Agentic AI?

In a world where time is money, adopting the right tools to stay ahead is crucial. Agentic AI provides businesses with an intelligent, scalable, and user-friendly solution for automating workflows, without the need for coding skills. Whether you’re looking to save time, reduce costs, or scale your business efficiently, Agentic AI delivers the technology and support you need to succeed.

Conclusion

Embracing AI-powered workflow automation with Agentic AI is not just about keeping up with the competition; it’s about staying ahead. With Agentic AI SaaS and its no-code workflow automation capabilities, businesses can achieve greater efficiency, accuracy, and scalability while freeing up valuable resources for innovation and growth. Explore how Agentic AI can transform your business today and unlock the full potential of your operations.

[talhive]

Streamlining Success: Top Talent Sourcing Services by Talhive

In today’s competitive landscape, businesses require more than just skilled individuals — they need the perfect fit to drive success. Talhive emerges as a leader in talent sourcing services, revolutionizing how companies discover and recruit top-tier professionals. With expertise across industries like technology, marketing, product design, and more, Talhive bridges the gap between employers and exceptional talent globally.

A Comprehensive Approach to Talent Sourcing

Talhive’s talent sourcing services focus on aligning hiring strategies with business objectives. Whether you’re a startup or an established enterprise, their recruitment methodology ensures candidates possess the technical expertise, cultural fit, and growth mindset needed for long-term success. Unlike conventional recruitment, Talhive adopts a strategic approach, leveraging a vast network, AI-driven tools, and customized screening processes to identify high-potential candidates.

Specialized Industry Expertise

Talhive excels in catering to specific sectors, offering targeted recruitment for:

Technology roles like backend development, data analytics, and DevOps.

Product and design positions, including UX/UI design and product management.

Sales and marketing functions, ensuring a robust team to drive business growth.

Their tailored services extend beyond recruitment to building entire teams, making them a preferred partner for organizations scaling operations globally.

Global Talent Acquisition Made Simple

Operating in regions like India, the USA, the UK, and APAC, Talhive delivers global talent sourcing services with precision. From managing timezone differences to navigating diverse talent pools, their team ensures seamless hiring processes across geographies. Whether you’re looking to establish a new team in Singapore or hire tech experts in Germany, Talhive’s global reach facilitates efficient talent acquisition.

Case Studies: Proven Success

Talhive’s impact is evident in its success stories. For instance, they filled critical engineering roles for the NBA in India within two months, achieving a 100% acceptance rate. Similarly, they helped Writesonic.ai secure top SaaS talent, enabling rapid business expansion. These examples highlight their ability to handle challenging recruitment scenarios with exceptional results.

Why Choose Talhive?

Streamlined Processes: With advanced tools and a clear understanding of client needs, Talhive simplifies recruitment.

Expert Consultants: Talhive’s HR consultants specialize in executive and temporary hiring, offering versatile solutions.

Tailored Solutions: From startups to global enterprises, their flexible services adapt to unique business requirements.

Empowering Careers and Businesses

Talhive doesn’t just assist employers; they empower job seekers. Candidates benefit from access to premium roles at leading brands, with personalized career guidance from experienced consultants. This dual focus ensures a win-win for employers and professionals alike.

Conclusion

Talhive stands out as a partner of choice for talent sourcing services, offering innovative, efficient, and scalable hiring solutions. Their global expertise, specialized industry focus, and strategic methodology make them an invaluable ally in today’s dynamic hiring landscape. Whether you’re building a tech team or expanding into new markets, Talhive ensures your organization is powered by the best talent.

For businesses seeking to transform recruitment challenges into opportunities, Talhive delivers results that truly matter.

[agamitechnologies]

12 B2B SaaS Growth Marketing Agency Strategies in 2025

Intro

As the SaaS industry continues to flourish, businesses are facing increasing competition. In 2025, achieving sustainable growth for B2B SaaS companies requires innovative marketing strategies tailored to the evolving landscape. Below, we explore 12 actionable growth marketing strategies for B2B SaaS agencies that can make a difference in your results. For a deeper dive into these strategies, check out our detailed guide here.

1. Leverage Data-Driven Marketing

Data is at the core of effective marketing. Use advanced analytics tools to track customer behavior, optimize campaigns, and measure ROI. By understanding data patterns, you can personalize campaigns and focus on high-converting channels.

2. Emphasize Account-Based Marketing (ABM)

ABM focuses on targeting high-value accounts with personalized campaigns. Create customized content for key decision-makers in target businesses, aligning sales and marketing efforts to boost conversions.

3. Utilize AI and Automation

Artificial intelligence and automation tools streamline repetitive tasks, improve lead scoring, and enhance customer segmentation. Chatbots, predictive analytics, and automated email sequences are essential tools for scaling your marketing efforts efficiently.

4. Create High-Value Content

Position your brand as a thought leader by creating in-depth guides, whitepapers, and webinars. Ensure your content is SEO-optimized and addresses pain points specific to your target audience.

5. Optimize for Search Engines

SEO remains crucial in 2025. Perform keyword research to identify terms your audience searches for and create content that ranks for those queries. Technical SEO, such as page speed and mobile optimization, is equally vital.

6. Focus on Customer Retention

Acquiring new customers is important, but retaining them is equally critical. Offer loyalty programs, proactive customer support, and regular updates to keep existing clients satisfied and engaged.

7. Harness Social Proof

Leverage customer testimonials, case studies, and reviews to build trust with potential clients. Highlight measurable results that your SaaS solution has delivered for other businesses.

8. Invest in Video Marketing

Video continues to dominate online engagement. Create explainer videos, tutorials, and testimonials to showcase your SaaS product’s benefits. Use platforms like YouTube, LinkedIn, and your website for distribution.

9. Develop Strategic Partnerships

Collaborate with complementary businesses to reach new audiences. Joint webinars, co-branded content, or affiliate partnerships can expand your visibility and generate quality leads.

10. Optimize the Free Trial Experience

Ensure your free trial or freemium model highlights the key features of your product. Use onboarding emails, in-app tutorials, and support to help users experience the full value of your SaaS solution.

11. Leverage Paid Advertising Wisely

Invest in paid channels like Google Ads, LinkedIn Ads, and programmatic advertising. Target specific industries, roles, or company sizes to ensure your ad budget generates qualified leads.

12. Analyze and Adapt Continuously

The SaaS landscape evolves rapidly. Regularly analyze your campaigns’ performance and adapt your strategies to stay ahead of competitors. Use A/B testing to optimize landing pages, emails, and ads for better results.

For more insights and actionable tips on growing your B2B SaaS company, read our complete guide: 12 B2B SaaS Growth Marketing Agency Strategies. These strategies, when implemented effectively, can set your business apart and drive sustainable growth in 2025.

[seoguy123]

The Rise of Subscription Models: How They Are Shaping Consumer Choices

Subscription models have become a driving force in the modern business landscape, transforming how companies deliver services and how customers interact with brands. From streaming platforms to curated boxes, these models cater to evolving consumer needs, offering flexibility and convenience while creating long-term value for businesses.

What Is a Subscription Model?

A subscription business model is a revenue strategy where customers pay a recurring fee to access a product or service over time. Unlike one-time purchases, this approach builds lasting relationships and ensures a steady income stream for businesses.

Some popular variations include the subscription software model, where users pay for access to digital tools, and subscription service models, which include curated delivery services or premium memberships.

How Subscription Models Are Changing Consumer Behavior

Convenience and Accessibility With options to customize plans, pause services, or upgrade as needed, subscription models provide unparalleled convenience. Whether it’s streaming entertainment or taking data analysis courses, consumers prefer services that fit seamlessly into their lives.

Cost Efficiency Instead of large upfront costs, customers can pay manageable monthly fees, which is particularly appealing in areas like SaaS (Software as a Service) or subscription model businesses.

Tailored Experiences Businesses leverage data analysis tools to offer personalized recommendations, enhancing user satisfaction and building loyalty.

Why Are Businesses Embracing Subscription Models?

Companies are increasingly shifting towards business sustainability strategies that rely on recurring revenue. Here’s why:

Stable Revenue: The subscription fee revenue model ensures predictable income, allowing better financial planning.

Scalability: Subscriptions can expand easily with minimal infrastructure investment.

Deeper Customer Insights: Using data analysis, businesses can analyze customer behaviors and improve their offerings.

Examples of Successful Subscription Models

Entertainment: Netflix and Spotify revolutionized how we consume media, exemplifying the subscription-based model.

Learning Platforms: Websites offering data analysis courses online have made education more accessible.

E-Commerce: Brands like Birchbox or Dollar Shave Club highlight the success of physical product subscriptions.

For more examples of business sustainability, explore how various industries are adopting subscription strategies.

The Role of Data in Subscription Success

The success of subscription models heavily relies on data analysis. Companies use tools and insights to:

Predict customer preferences.

Identify churn risks and improve retention strategies.

Personalize recommendations to enhance user satisfaction.

The demand for skilled analysts has skyrocketed, with the average salary of a data analyst reflecting their crucial role in driving these strategies forward.

Challenges Facing Subscription Models

While subscription models offer numerous benefits, they are not without challenges:

Market Competition: Saturation can make it difficult to stand out.

Consumer Fatigue: Too many subscriptions can lead to cancellations.

Economic Sensitivity: Non-essential services are vulnerable during economic downturns.

Companies must focus on value and innovation to maintain their edge in this space.

Future of Subscription Models

The future of business and sustainability lies in the evolution of subscription strategies. AI-powered personalization, increased flexibility, and ethical practices will drive the next wave of innovation.

Industries like education, health, and entertainment will continue to lead the way, with businesses relying on advanced data analysis tools to fine-tune their offerings and meet changing customer demands.

Conclusion

The subscription model business isn’t just reshaping commerce—it’s redefining how we interact with brands and services. From convenience to personalized experiences, subscriptions are a win-win for both consumers and companies.

As the market grows, businesses that invest in customer-centric strategies and embrace business ethics and sustainability will emerge as leaders. Whether you’re considering a new service or implementing this model in your business, understanding its potential is crucial for success.

Discover how subscription models can elevate your experience at MyFastX!

[damodazzlee]

Transforming Sales with Demo Automation: Breaking Resistance

In today’s rapidly evolving sales landscape, traditional methods of engaging potential customers often fall short. Prospects demand convenience, personalization, and efficiency – qualities that conventional sales processes struggle to deliver consistently. Enter demo automation: Read more about this revolutionary approach here: a revolutionary approach to sales that not only streamlines the process but also addresses common barriers to adoption.

Challenges in Traditional Sales Processes

The traditional sales process is fraught with inefficiencies. Sales teams often struggle with:

Time-Consuming Demos: Scheduling live demos can be tedious, especially when accommodating multiple stakeholders across different time zones.

Inconsistent Messaging: Human-led demos risk variability, which can lead to unclear or incomplete communication of product benefits.

Resource Limitations: Sales engineers frequently spend valuable time conducting repetitive demos, reducing their availability for strategic engagements.

These challenges can hinder the buyer’s journey, causing delays in decision-making and lost opportunities.

The Benefits of Demo Automation

Demo automation transforms the sales process by leveraging technology to deliver pre-recorded, interactive, or AI-driven product demonstrations. Here are its key advantages:

Scalability: Automated demos allow you to engage multiple prospects simultaneously without straining resources.

Consistency: Ensure a unified message every time, highlighting the most critical product features and benefits.

Convenience: Prospects can access demos at their own pace, improving their experience and engagement.

Analytics: Gain insights into user behavior, such as which features attract the most attention, enabling data-driven sales strategies.

Efficiency: Free up your sales engineers to focus on high-priority accounts and complex use cases.

Breaking Resistance to Demo Automation

Despite its clear benefits, some teams may resist adopting demo automation due to concerns about losing the “human touch” or navigating new technology. Here’s how to overcome these barriers:

Education and Training: Show your team how demo automation enhances their workflow rather than replacing it. Offer hands-on training to build confidence.

Start Small: Begin with automating repetitive tasks, then gradually expand to more complex demos.

Personalization: Combine automated demos with tailored follow-ups to retain the human element.

Highlight Success Stories: Share case studies of organizations that improved their sales efficiency and outcomes through automation.

Real-World Impact of Demo Automation

Companies that have embraced demo automation report significant improvements in their sales processes. For instance:

Tech Startups: By automating demos, startups can scale their outreach and focus their limited resources on converting high-value leads. Learn more about how this works on our blog here.

Enterprise Teams: Automation allows large organizations to maintain consistent messaging across global teams, ensuring brand alignment.

SaaS Providers: With interactive demo platforms, SaaS companies can showcase their product’s value instantly, reducing the time it takes to close deals.

Conclusion

Demo automation is not just a tool; it’s a transformative strategy that empowers sales teams to overcome inefficiencies and meet modern buyer expectations. By embracing this technology, businesses can enhance scalability, improve user experiences, and achieve greater sales success.

Now is the time to break through resistance, unlock the potential of demo automation, and redefine your sales strategy for the digital age. Visit our blog for a deeper dive: Transforming Sales with Demo Automation: Breaking Resistance.

[helmsportal]

SaaS Learning Management System Provider In Gurgaon | Helms Portal

Helms Portal offers an advanced SaaS Learning Management System in Gurgaon, empowering organizations with seamless eLearning solutions. Our platform provides customizable features for tracking, reporting, and managing online learning programs. Designed to meet diverse learning needs, Helms Portal helps improve learning outcomes while saving time and resources. Whether for corporate or academic use, Helms Portal is the go-to LMS for quality online education https://helmsportal.com/saas-learning-management-system-provider-in-gurgaon/

Top SaaS Learning Management System Provider in Gurgaon

The rapid shift toward digitalization has transformed the way organizations deliver training and education. A SaaS (Software-as-a-Service) Learning Management System (LMS) has become a vital tool for businesses and educational institutions, offering scalable, efficient, and user-friendly solutions. Gurgaon, a bustling technology hub in India, has emerged as a hotspot for SaaS LMS providers catering to diverse industries. One prominent name among these providers is Helms Portal, recognized for its innovative and reliable services.

Benefits of a SaaS LMS

Flexibility and Accessibility: SaaS LMS platforms are cloud-based, enabling learners and administrators to access content from anywhere, anytime, using any device.

Scalability: These systems grow with your organization, accommodating increasing users and expanding features as needed.

Cost Efficiency: By eliminating the need for on-premises servers and complex infrastructure, SaaS LMS significantly reduces costs while providing a subscription-based pricing model.

Automatic Updates: SaaS LMS platforms automatically receive updates and feature enhancements, ensuring the system stays current without requiring manual intervention.

User-Friendly Interface: Intuitive interfaces make it easy for users to navigate and engage with learning modules, even for those with minimal technical expertise.

Key Features Offered by SaaS LMS Providers in Gurgaon

Customizable Learning Solutions: Gurgaon's SaaS LMS providers offer tailored platforms that adapt to the unique training requirements of businesses and institutions.

Interactive Learning Modules: Modern LMS platforms support multimedia content like videos, animations, and gamified learning modules to boost learner engagement.

Data-Driven Insights: Advanced analytics tools allow organizations to track learner progress, identify skill gaps, and measure training effectiveness.

Mobile-First Design: With a significant portion of learning happening on mobile devices, SaaS LMS systems ensure a seamless experience on all screen sizes.

Robust Security: Data protection and privacy are top priorities, with encryption and secure access controls safeguarding sensitive information.

Why Helms Portal Stands Out

Helms Portal is a leading SaaS LMS provider in Gurgaon, known for its cutting-edge technology and client-focused solutions. Its platform is designed to meet the needs of modern learners and organizations, offering:

Seamless Integration: Compatibility with existing systems like HR software, CRMs, and ERP tools.

Custom Branding: Personalized branding options to align the LMS with an organization’s identity.

AI-Driven Learning: Incorporating artificial intelligence for personalized recommendations and adaptive learning paths.

Comprehensive Support: Round-the-clock technical support to address client queries and ensure smooth operations.

Affordable Pricing: Flexible plans that cater to organizations of all sizes, making high-quality LMS solutions accessible to all.

Growing Demand for SaaS LMS in Gurgaon

Gurgaon’s thriving corporate ecosystem and its focus on innovation and technology have spurred the demand for advanced training solutions. With businesses emphasizing upskilling and employee development, SaaS LMS platforms are becoming indispensable tools for staying competitive.

Conclusion

As the demand for efficient learning solutions continues to rise, SaaS Learning Management Systems have become a cornerstone of modern education and corporate training. Gurgaon’s position as a technology leader has fostered the growth of providers like Helms Portal, offering cutting-edge, customizable, and user-friendly platforms. By choosing a reliable SaaS LMS provider, organizations can ensure streamlined learning processes, improved employee performance, and a competitive edge in their industry.

[marketingbusines]

Emerging Startup Companies in Chennai: Success Stories

Chennai, often referred to as the cultural capital of South India, has evolved into a vibrant hub for startups. With its deep talent pool, robust infrastructure, and growing investor interest, the city has become home to numerous innovative companies across diverse industries. In this article, we explore some of the most inspiring success stories of emerging startup companies in Chennai.

Why Chennai is a Startup Haven

Chennai offers a unique blend of opportunities for startups:

Educational Institutions: Prestigious institutes like IIT Madras foster innovation and entrepreneurship.

Cost-Effective Operations: Compared to other metro cities like Bangalore, Chennai offers lower operating costs.

Diverse Talent Pool: The city has a strong presence of tech talent, thanks to its thriving IT industry.

These factors have propelled Chennai to become one of India’s fastest-growing startup ecosystems.

Success Stories of Emerging Startups

1. Freshworks

Founded in 2010 by Girish Mathrubootham and Shan Krishnasamy, Freshworks started as a simple helpdesk software company. Today, it has grown into a global SaaS (Software as a Service) giant, offering customer engagement solutions and earning unicorn status in 2019. Freshworks’ success story is a testament to Chennai’s ability to nurture globally competitive startups.

2. Chargebee

Chargebee, founded in 2011, simplifies subscription billing for businesses worldwide. Built by Krish Subramanian and his team, the startup has raised significant funding and serves clients in over 60 countries. Its innovative solutions in revenue management have made it a leader in the subscription management space.

3. WayCool

WayCool, launched in 2015 by Karthik Jayaraman and Sanjay Dasari, focuses on the agricultural supply chain. By leveraging technology, the startup bridges the gap between farmers and consumers, ensuring better efficiency and reduced waste. Its commitment to sustainability has garnered attention and investments, making it one of Chennai’s standout startups.

4. Zuper

Zuper, a field service management platform, emerged as a game-changer for service-oriented businesses. Founded by Anand Subbaraj, the platform leverages AI and automation to enhance operational efficiency. Zuper’s rapid adoption across industries showcases Chennai’s strength in producing cutting-edge tech solutions.

5. Vivriti Capital

Specializing in debt capital markets, Vivriti Capital offers innovative financial solutions to businesses. Co-founded by Gaurav Kumar and Vineet Sukumar, the company leverages data analytics to make finance more accessible and inclusive. Its impact on the financial sector highlights Chennai’s contribution to fintech innovation.

The Ecosystem Driving Success

Chennai’s startup ecosystem benefits from:

Incubators and Accelerators: IIT Madras Research Park, Anna University Incubation Centre, and others play a pivotal role in nurturing startups.

Government Initiatives: Tamil Nadu’s startup policy aims to provide funding, mentorship, and infrastructure to budding entrepreneurs.

Global Connectivity: Proximity to major ports and international airports makes Chennai an attractive base for startups with global aspirations.

Challenges and Opportunities

While Chennai startups enjoy many advantages, they also face challenges such as limited access to venture capital compared to Bangalore. However, with increased focus on the city’s potential, investor interest is steadily growing. Emerging sectors like fintech, agritech, and edtech provide immense opportunities for new ventures.

Conclusion

Startup companies in Chennai are writing remarkable success stories, proving that the city is more than just an IT powerhouse. Its vibrant ecosystem fosters innovation, resilience, and growth, making it a rising star in India’s entrepreneurial landscape.

As more investors and entrepreneurs set their sights on Chennai, the city’s potential to produce globally impactful startups is limitless.