What is the long game for AIOps in enterprise data management?

We’ve seen a lot of buzzwords that have gained relevance across the industry, from digital transformation to edge computing to Web3.

Championed by future-forward companies like Aisera Inc., similar phrases including AI-native and AIOps could join that list.

“Obviously, the data is very important. Tthe next layer will be called the intelligence system. That where artificial intelligence will play, ”said Muddu Sudhakar (pictured), chief executive officer and investor at Aisera. “We talk cloud-native; it will be called AI-native. AI-native is a new buzzword, and it suggests the use of AI for customer service and IT operations. Aabout observation, I call it AIOps, applying AIOps for good old IT operation management and cloud management. ”

Sudhakar spoke with CUBE industry analyst John Furrier at the recent event at the AWS Summit San Francisco, an exclusive broadcast on theCUBE, the livestreaming studio of SiliconANGLE Media. They discussed Aisera’s strategic movement in AI for the customer services space and how it raising employees and customers in take their operations to the next stage. (* Disclosure below.)

Embedded stacks, RPA and ‘polyglot automation’

With the support of a whole host of Silicon Valley bigwigs, including Menlo Ventures Management LP and True Ventures, Aisera has raised over $ 100 million to date. The startup has also seen more than 300% year-on-year growth over the past three years, according to Sudhakar.

“The space Aisera is going after is what I call applying AI for customer service. Think about it IT operations at IT help desks; the same place I used to work at ServiceNow. We are partners with ServiceNow to see how can we increase employees and customers using solutions like Salesforce and ServiceNow to take it to the next stage, ”Sudhakar explained.

In the same way that the industry has evolved towards polyglot databases, there is an ongoing, seamless process towards polyglot automation, according to Sudhakar. In his technology perspective, organizations will implement automation as a core but will also have automation simultaneously in other areas in their technology stack.

“That’s why you see MuleSoft and Salesforce which buys fast process automation companies, ”he said. “So you see all SaaS companies, cloud companies having automation as a core. It’s like how you have a database and calculation and sales and networking. You will also have automation as an embedded layer within each stack. “

Moving towards AI -driven workflows

There is something fast gold towards automation through machine learning and AI as organizations understand its many benefits. This automation should be embedded in every area of ​​operations of an organizational solution, according to Sudhakar.

“You can see all the SaaS companies, cloud companies having automation as a core. So this is like how you have a database and calculation and sales and networking. You will also have automation as an embedded layer within each stack. “

As the pivot away from the traditional market entry attack plan becomes increasingly apparent, investors and founders will begin to build their stacks with tools like Snowflake, in addition to AWS, according to Sudhakar.

“You will build it on Amazon and Snowflake. The snowflake will be your data store. The snowflake will be your data layer. So I think that’s the next level of what companies are trying to achieve, ”he said.

The entrepreneurial outlook and cloud scale

Today, entrepreneurs have skipped most of the grunting work and developing large portions of their products into solutions like Snowflake. Whatever they don’t build, they facilitate through a platform-as-a-service layer.

“It will reduce your product development. Yyou go to the market, and you can use Snowflake marketplace to drive your engagement, ”Sudhakar said.

An unprecedented number of business processes are moving to the cloud from on-prem setups, and a new paradigm is emerging, called “cloud-scale” by CUBE host and SiliconANGLE Media founder John Furrier. Contemporary “lift-and-shift” movements are now underway in IT operations, customer service, ticketing and even record management, and may it continue, according to Sudhakar.

On the buying side of things, spending trends have also positively shifted towards favoring solution startups, as Sudhakar pointed out in his personal experience at Aisera.

“I think, businesses, on average, previously nothing was spent on startups. Only about 0% or 1%, ”he said. “Today, most companies are already spending 20, 30% to startups. Could it be more? I think it could double in the next four, five years.

This increased spending is being driven by new-minded startups developing new security standards and cloud app development. Training AI and machine learning models towards more intense prediction and autonomy will be key to sustaining this growth, Sudhakar suggested.

Undoubtedly, the overall goal of every market participant is to be a supercloud: driven by hyper-scale infrastructure and focused on deeper business integration and intrinsic digital innovation.

Here is the complete video interview, part of SiliconANGLE and theCUBE’s coverage of the AWS Summit San Francisco event:

(* Disclosure: TheCUBE is a paid media partner for the AWS Summit San Francisco event. Neither Amazon Web Services Inc., the sponsor of theCUBE event coverage, nor other sponsors have editorial control over content in theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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