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How SaaS Is Harnessing The Power Of AI

During IFS’ various presentations, the company proudly showed how it competes with the world’s biggest IT companies in ERP, EAM, and FSM. However, competing with players such as Oracle, Salesforce, SAP, Microsoft, and a few others is not always easy. In a conversation with Bob de Caux, the AI leader at IFS, we asked about the AI roadmap and how far along IFS is. He states that IFS’ customer portfolio is not eager to see many AI experiments, IFS’ customers want reliable AI functions and explainable results. For now, IFS is working with prompt engineering and RAG on top of the Azure AI Service to add AI features. In recent years, IFS has experienced significant growth, on the one hand through increasing specialization in the six industries and, on the other hand, through strategic acquisitions.

With the right approach, you’ll optimize customer engagement and drive measurable results. While every industry has its own unique needs, AI is empowering software companies to boost productivity, upgrade customer service and stay ahead of the competition. Based on my company’s experiences, here are some of the practical ways software companies can implement different AI tools to create a positive impact across departments.

Zoho brings internally developed AI to its productivity platform

We see that as a considerable risk because IFS’s competitors are all from the big tech league.

Some of this optimization can be done with machine learning, and already is. But the problem with ML is that provider offerings keep changing. Traditional analytics can handle the math and the simulations, while gen AI can be used to figure out the options and do the more involved analysis.

Copperleaf

Within Copperleaf, one can define how the application should read the data. Copperleaf already uses a lot of data from assets, but with the integration with IFS Cloud, much more data will become available. IFS wants Copperleaf to enhance its position as a comprehensive end-to-end asset lifecycle management solution provider. The goal is to give organizations real-time visibility into data so that problems and challenges can be detected and tackled early. During IFS Unleashed, we spoke with organizations that use Poka and motivate their employees to do more with it. Some organizations reward employees who have successfully completed training by giving them a better position or a higher salary.

• Enterprises are tired of dealing with massive data migrations and lengthy implementation cycles.
• And finding a solution that works today is not enough, since gen AI technology is evolving at a breakneck pace.
• Many major SaaS players and competitors of IFS have already implemented so-called autonomous AI agents and offer capabilities to interact with AI by voice.
• Within Copperleaf, one can define how the application should read the data.
• Also in the Flexential survey, 43% of companies are seeing bandwidth shortages, and 34% are having problems scaling data center space and power to meet AI workload requirements.

Enjoy personalized recommendations, ad-lite browsing, and access to our exclusive newsletters. This level of end-to-end automation unlocks new efficiencies and drives faster decision-making, allowing enterprises to stay agile and competitive. Consider a finance team using a vertical SaaS platform that automates everything from invoice processing to fraud detection. The platform doesn’t just alert the team to potential issues rather it resolves them autonomously. In manufacturing, vertical SaaS platforms can monitor equipment, predict failures, and automatically schedule maintenance before a breakdown occurs. Linnes sees which new AI businesses are gaining fast traction, and knows which approaches are here to stay.

Offer AI marketing services

This year, Poka and Copperleaf, among others, were added to the portfolio. The global average cost of a network data breach has climbed to a record $4.88 million – which represents a 10% increase from 2023 and the largest spike since the pandemic, according to IBM’s 2024 Cost of a Data Breach Report. “IBM Guardium AI Security integrates with IBM watsonx and other generative AI SaaS providers. For example, IBM Guardium AI Security helps discover ‘shadow AI’ models and then shares them with IBM watsonx.governance, so they no longer elude governance,” IBM stated. Get the most out of your Inc42 experience by creating a free account.

The days of enterprises investing in one-size-fits-all software are numbered. What businesses need now are tailored solutions that deliver real business outcomes—solutions built on deep domain expertise, powered by AI, and designed to integrate seamlessly into existing operations. An AI tool or software-as-a-service (SaaS) business lets you create a branded, scalable product used across industries. You can foun additiona information about ai customer service and artificial intelligence and NLP. Whether it’s a tool ai chatbot saas for data analysis, workflow automation, or productivity enhancement, SaaS platforms provide continuous value to users while generating recurring revenue for you. An AI marketing agency elevates and enhances clients’ marketing strategies through artificial intelligence. You’ll help businesses automate content creation, sort lead generation, and fine-tune conversion tactics based on real-time data and insights.

Invisibility In Workflows

IBM Guardium Data Security Center is a SaaS-based offering that integrates a number of new IBM security packages. Begin by creating a sample chatbot using a tool like Google Dialogflow, then partner with a local business to showcase how it enhances customer service. “The value of chatbots is that they’re always on, providing immediate assistance to customers,” Linnes points out.

Enterprises today juggle dozens, if not hundreds, of SaaS applications. Each platform claims to solve a specific problem, but this fragmented approach has led to integration headaches, data silos, and an overwhelming sense of complexity. Rentec Direct, property management software for real estate professionals. Whether we like it or not, AI is only going to continue evolving and will likely become an essential part of both business and software development. I believe that those of us who can understand, embrace and leverage AI’s capabilities to streamline operations early on will maintain a competitive edge as more and more players enter the SaaS space. Our design team used to spend hours manually researching up-to-date best practices for UX and content design for our company website’s product pages.

So it makes sense that 2023 was a year of AI pilots and proofs of concept, says Bharath Thota, partner in the digital and analytics practice at business consultancy, Kearney. And this year has been the year when companies have tried to scale these pilots up. ChatGPT App “If your hyperscaler isn’t giving you enough at the right price point, there are alternatives,” he says. There are two major types of AI compute, says Naveen Sharma, SVP and global head of AI and analytics at Cognizant, and they have different challenges.

From monitoring key metrics to making decisions and executing tasks, these platforms automate the full range of enterprise processes. By blending into existing systems, these platforms enable enterprises to extract value from day one. And because they are powered by AI, they continuously learn and adapt, ensuring that the solutions become more effective over time, not less. Whether it’s healthcare, retail, manufacturing, or finance, vertical SaaS platforms are built with industry expertise at their core. This deep knowledge enables these platforms to address industry-specific pain points, making them far more valuable than traditional SaaS platforms. The enterprise software landscape is being transformed by the rapid development of artificial intelligence and the rise of new use cases driven by changing consumer behavior.

You can build a tool from scratch or white-label an existing AI solution, rebranding it and marketing it to a niche audience. “AI content is a game-changer for scaling content marketing efforts,” says Linnes. With customizable content creation options, you support clients in producing high-quality material tailored to their audience, from blog posts to product descriptions.

The goal is to help IT professionals get acquainted with new innovative products and services, but also to offer in-depth information to help them understand products and services better. The acquisition of Copperleaf is a substantial investment for IFS. Poka was acquired for just under 200 million dollars, but for Copperleaf, IFS must pay a whopping one billion dollars. In return, however, it is a serious expansion of the IFS portfolio.

In addition, when companies create a model, it’s defined by its training data and weights, so keeping track of different versions of an AI model might require keeping copies of every individual training data set. “Everybody is learning as they’re iterating.” And all the infrastructure problems — the storage, connectivity, compute, and latency — will only increase next year. Google and Microsoft are also rolling out gen AI functionality in their productivity platforms, as is Salesforce, and most other enterprise vendors.

Artificial intelligence is rapidly moving from novelty to necessity, with businesses worldwide racing to integrate AI into their operations. Right now, we’re still seeing ChatGPT early adopters take advantage, but this shift is about to go mainstream. Maria Korolov is an award-winning technology journalist covering AI and cybersecurity.