In many ways, foundation models such as ChatGPT, Claude, and PaLM2 are redefining human-computer interaction. With their remarkable ability to generate contextually relevant and coherent responses, these services have captivated individuals and industries alike, sparking a wave of innovation and transforming the way we engage with technology.

The iPaaS (integration platform as a service) is no exception. The next generation of iPaaS have the potential to shrink complex system integrations from days and weeks to hours and minutes, allowing businesses to innovate faster, reach further and operate more efficiently.

Generative integration

Generative integration is an emerging integration software category that leverages GenAI to allow users to turn intentions into integrations faster.

By unearthing hidden connections, organisations gain a competitive edge, fuelling innovation and driving transformative change. As generative integration continues to evolve, it’s clear that it’s not just about simplifying the integration process – it’s about paving the way for a future where data-driven decisions are made with clarity and confidence.

SnapLogic recently released SnapGPT, the world’s first generative integration solution. Companies have been using AI for years to help crunch large amounts of data to produce insights for their businesses. SnapGPT takes this a step further by automating the creation and ongoing curation of data and process flows, allowing businesses to quickly introduce changes around new opportunities.

3 Ways SnapGPT is changing integration

SnapGPT streamlines workflows, reduces manual intervention and enhances development efficiency, while maintaining encryption standards.

SnapGPT catalyses business decision-making by:

1. Democratising integration: SnapGPT empowers employees with any job title or technical skill level to easily and quickly create workflows and data pipelines via natural language or voice prompts in nearly 100 different languages.

2. Delivering faster time to value: SnapGPT auto-generates sample data for testing and comprehensive documentation for each integration, allowing employees to validate new business workflows and put them into production more quickly. Users can also generate workflow and pipeline descriptions to significantly reduce ongoing maintenance costs.

3. Reducing IT integration workloads: SnapGPT acts as a tireless, intelligent co-pilot, providing contextual suggestions and real-time guidance throughout the integration process, boosting confidence and providing self-service to users of all experience levels while reducing strain on IT to assist, create, test and monitor integration builds.

Pioneering a new era of integration

Founded in 1889, Barnard College at Columbia University is revered as one of the most selective academic institutions in the US. The college recognised the importance of connecting all of its disparate systems and automating processes while accelerating analytics. This data-driven connectivity is key to driving modern learning experiences in a digital-first landscape while keeping pace with today’s student expectations.

Nancy Mustachio, Director of Enterprise Applications at Barnard College, has been instrumental in leading the college’s transformation to a smarter, more digitally connected future. She recently embraced the opportunity to leverage SnapGPT and is excited to be at the forefront of this pioneering technology.

“We are starting to see the initial benefits of Generative Integration. It’s early days but we can already see its potential to increase team efficiency,” Mustachio says. “Our team of developers has used SnapGPT to create and test integration workflows in under an hour, compared to days. I foresee SnapGPT will continue to advance to handle more complex integrations. We’re excited to be at the forefront.”

Jeremiah Stone is the CTO of SnapLogic and is responsible for guiding the continued development and future direction of SnapLogic’s Intelligent Integration Platform.

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Real-time insights are, arguably, an organisation’s most valuable source of information in turbulent environments. Long-term trends and ‘last month, last quarter, or last year’ musings are irrelevant when fundamental business conditions are changing rapidly.

While working with real-time data requires a more sophisticated data and analytics infrastructure and often comes at a greater cost, there’s perhaps no greater expense than missed opportunity in today’s fast-paced landscape. Up-to-the-minute insights empower organisations to make faster, more informed decisions by understanding what is – and is not – working in the business. This helps businesses survive inflationary cycles by cutting non-functioning investments and doubling down on the profitable parts of the business.

Real-time insights are critical for business agility. Agility without data is operating on instinct and hunch. Most critically, real-time data can alert a company of issues early. Unlike wine, problems do not get better with age.

As an increasing number of companies look to data to gain a competitive advantage, those with real-time data will secure a winning position. This is why real-time data analytics will be in high demand throughout 2023.

Embracing a multi-cloud strategy

CIOs are concerned about cloud spending. And rightly so. According to KPMG’s annual technology survey, many companies that have shifted enterprise-technology tools into the cloud in recent years, in part as a cost-saving measure, say those investments have yet to pay off. Some are even seeing costs go up.

The primary reason for these blown budgets? Cloud costs are often not transparent in early deployments due to consumption-based pricing and the lack of experience with new technology models. Without experience, CIOs aren’t able to think strategically about how to distribute IT capabilities across different cloud providers to maximise cost productivity and figure out how to make different cloud services work well together.

While some cloud vendors are lowering sales forecasts for the year ahead, we believe the answer to the problem lies in embracing a multi-cloud strategy, optimising for cost productivity on a per-provider basis.

At SnapLogic, we announced at the AWS re:Invent 2022 event significant business momentum resulting from enhancements to our Partner Connect Program, which helps partners accelerate their integration and automation capabilities.

SnapLogic was also recognised for providing customers and partners with the highest return on investment (ROI) in the shortest amount of time, as assessed by Forrester. Since its inception last year, partners have developed over 400 SnapLogic specialisations that accelerate customer value with services and solutions.

As stated by Jason Wakeam, Vice President of Global Channels at SnapLogic: “As a cloud native integration platform, we’re constantly improving ways our partners help customers modernise their cloud, applications and data architecture.”

Bridging the ‘great data divide’

Those organisations that are truly data-driven have the ability to act with certainty in the face of uncertainty. That is, when up against economic uncertainties, wars, flow of talent trends, pandemics, natural disasters and the like, those that are truly data-driven will thrive through informed decision-making. Those that are not will rely on luck rather than their wits to survive.

While big data has largely been harnessed by large corporations and governments, real-time data is now more accessible to companies of any size. Data democratisation, through more accessible analytic tools and cloud technologies, puts insights in the hands of everyone, working to create a generation of business owners that are swapping their gut instincts for data-driven operations.

2023 will see more firms of all sizes embrace the power of data analytics to grow their revenues and margins in the face of difficult economic headwinds, effectively bridging the Great Data Divide.

2023: The year of AI

AI is fast moving from lofty fantasy to reality, and 2023 is only going to see the use and development of AI accelerate. Already today, AI has the ability to turn text into drawings and videos demonstrating the ability to not only analyse but create. Tesla’s autonomous driving system has also made a giant leap forward, illustrating the progress that image processing and edge computing are making. SnapLogic’s Iris AI, for instance, uses AI to automate difficult, low-level development tasks, eliminating the data and application integration backlog that stifles most technology initiatives.

And this is just AI in its infancy. The future of AI technology is set to greatly impact the business landscape in the next year and beyond. It’s likely 2023 will bring AI-based technologies that personalise enterprise software for the individual employee experience. AI will also continue to help employees do specific jobs better and more efficiently.

AI holds great promise to deliver not only productivity but business agility. By adopting powerful AI technologies that can unify data in one platform, an organisation is primed to connect the dots between its data and its people seamlessly.

Jeremiah Stone is CTO at SnapLogic, responsible for guiding the continued development and future direction of SnapLogic’s Intelligent Integration Platform enabling customers to further speed the integration and automation process.

The post 2023 trends: Reshaping the future of business with cloud, data and AI appeared first on iStart keeping business informed on technology.