Real-world problems require real-time data

A strategic guide to putting your data to work with search and AI

How IT leaders can improve digital customer experiences, increase operational resilience, and reduce cyber risk by putting existing, untapped data to work in real time with the precision of search and the intelligence of AI

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Let's dive in

As a consumer and an IT leader, you expect seamless and secure interactions with the multitude of platforms you use daily — applications, websites, emails, texts, and video calls. Likewise, as an IT leader, it’s your responsibility to ensure the availability and security of these underlying systems. This not only elevates customer satisfaction but also empowers your employees, enabling you to achieve your business goals.

Organizations that find answers from their data in real time are:1

  • 8x more likely to grow revenue by 20% or more in these ways
  • 1.4 times more likely to uncover new revenue streams
  • 1.6 times more likely to create data-driven experiences
  • 1.8 times more likely to commercialize their data

With the continuous requirement to enhance visibility into the performance of crucial applications and infrastructure, boost security measures, and improve the discovery of relevant information, you have a lot on your plate! 

So, what if we told you there's an untapped opportunity to streamline your tech stack and simultaneously realize cost savings? Read on to find out everything you need to know to do exactly that.

Table of Contents

Chapter 1

Business problems = data problems

Chapter 2

Data challenges and business complexities continue to accelerate

Chapter 3

Why you need to combat these challenges

Chapter 4

Combat these challenges with the precision of search and the intelligence of AI

Chapter 5

What to look for in a search and AI platform

Chapter 1

Business problems = data problems

As an IT leader, you are expected to optimize enterprise applications and infrastructure for availability and performance.

The average application, comprising of 50 to 100 services with multiple deployments, can generate more than 300 GB of data per hour during an incident or outage.2 And when IT downtime can cut enterprise profit by 9%,3 every second of an outage matters. Imagine if a grocery store's online ordering system went down days before a big holiday. If the stress of the holiday season wasn't enough, this would certainly make for some unhappy customers. Unplanned downtime not only leaves a bad taste in customers' mouths (no pun intended) but can easily amount to millions of dollars lost.4

These are data problems.

As an IT leader, you’re also expected to prevent security threats and detect and resolve incidents quickly when they do occur.

The average Fortune 500 enterprise generates more than 10TB of security events per month5 You and your team are always sifting through the exponential mountains of security data, anticipating the next threat. The impact it could have on your brand and the disruption it would have on your organization’s day-to-day operations is enough to keep any IT leader up at night.

These are data problems.

IT leaders are expected to connect the right people and teams with the right information, at the right time regardless of where the information is, or the format of the data. For example, a customer needs help installing their video doorbell. By interacting with a self-service experience, the customer gets frustrated that they have to enter in their product number to even start the troubleshooting process. The experience is cumbersome and clunky. About 77% of consumers say that offering poor self-service support is worse than not offering any at all since it wastes time.6

These are data problems.

Sure, all of these challenges are connected to data, but they can also be solved with data. When the average enterprise stores more than 71PB of structured and unstructured data on-premises alone, not even including cloud,8 there are plenty of answers just waiting to be uncovered. That data could be hiding key insights into business growth, indicators of compromise, and everything in between. However, this data shouldn’t just be stored. It needs to be put to work.  

Unfortunately, only 32% of data within organizations is actively being put to work9 today, which leaves an undesirable amount of data taking up space and costing money to store without adding any value. Being able to utilize this untapped data will enable you to keep customers happy, keep your systems up and running, and keep your organization protected. But how?

To address these data challenges, organizations need a way to derive value from data continuously, in real time.

With the precision of search and the intelligence of AI, you can enable users to find the answers that matter from all of your data in real time, at scale. Search technology by design is built to surface the most relevant pieces of information at speed and scale, but search technology is only capable of generating lists of results. On the other hand, generative AI can generate exact answers using its computational power and intelligence, but it has no context of your organization’s knowledge.

When you combine the precision of search with the intelligence of AI and your proprietary data, you can find answers to enterprise problems from all data, in real-time, and at scale.

Search combined with the intelligence of AI is able to quickly ingest messy data at enormous scale and enable all types of real-time analytics on top of that data. Even when data is complex, the type of analysis required isn’t known ahead of time, or analytics are needed in real time, the combination of search and AI is able to take on the challenge.

How search and AI are the solution to your data problems

How do you put search and AI to work? Read on to find out everything you need to know in order to analyze your data, extract insights, and continuously derive value in real time. But first, a bit of insight into the challenges organizations are facing.

Stop struggling through your mountain of data. Start analyzing, connecting, and taking action to revolutionize your organization.

Mitigate security risks

By analyzing endless amounts of security data in real time to thwart threats and resolve incidents quickly.

Improve operational resilience

By optimizing enterprise applications and infrastructure for availability and performance to avoid downtime and create seamless experiences.

Deliver top notch customer and employee experiences

By connecting the right people and teams with the right information, at the right time, regardless of where the information is, or the format of the data.

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