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3 Critical Requirements for Successful GenAI Deployments
in 2025

3 Critical Requirements for Successful GenAI Deployments in 2025

3 Critical Requirements for Successful GenAI Deployments
in 2025

December 23, 2024

From emerging technology to incremental experimentation and now to widescale adoption, Generative Artificial Intelligence (GenAI) has moved the needle rapidly and is now becoming a business imperative.

From emerging technology to incremental experimentation and now to widescale adoption, Generative Artificial Intelligence (GenAI) has moved the needle rapidly and is now becoming a business imperative.

While investment in GenAI seems immune to a slowdown, there are equal measures of lingering concerns about data privacy, cost unpredictability, and performance while leveraging multiple GenAI implementations.

While investment in GenAI seems immune to a slowdown, there are equal measures of lingering concerns about data privacy, cost unpredictability, and performance while leveraging multiple GenAI implementations.

According to IDC's Global GenAI Technology Trends Survey 2024, security and privacy have emerged as the decisive factors shaping how organizations deploy and utilize generative AI—with 43% of enterprises citing security as their primary concern, followed closely by data privacy at 40% and costs coming in third with 29%.

According to IDC's Global GenAI Technology Trends Survey 2024, security and privacy have emerged as the decisive factors shaping how organizations deploy and utilize generative AI—with 43% of enterprises citing security as their primary concern, followed closely by data privacy at 40% and costs coming in third with 29%.


By putting GenAI to work, organizations see both productivity gains and revenue jumps in business use cases when deploying the technology. Yet, Implementation challenges demand strategic solutions. 


By putting GenAI to work, organizations see both productivity gains and revenue jumps in business use cases when deploying the technology. Yet, Implementation challenges demand strategic solutions. 

Here's our analysis of key risks and how SearchAI 10.8 addresses these critical concerns.

Here's our analysis of key risks and how SearchAI 10.8 addresses these critical concerns.

01

01

THE RISK

THE RISK

THE RISK

Security - Protecting what matters the most

Security - Protecting what matters the most

Enterprises are finding new ways to use AI to analyze all types of data, including proprietary or intellectual property data. 

Enterprises are finding new ways to use AI to analyze all types of data, including proprietary or intellectual property data. 

Not all access is sanctioned, especially with the advent of bring-your-own AI, or BYOAI. Employees accessing data via external systems and public LLMs potentially expose intellectual property, customer information, and proprietary business intelligence to third-party systems.

Not all access is sanctioned, especially with the advent of bring-your-own AI, or BYOAI. Employees accessing data via external systems and public LLMs potentially expose intellectual property, customer information, and proprietary business intelligence to third-party systems.

The rise of shadow AI and unauthorized tool usage introduces unprecedented vulnerabilities. As employees leverage external AI services for productivity gains, organizations face increasing risks of data exposure, intellectual property leakage, and compliance violations. This security gap between innovation and protection demands immediate attention.

The rise of shadow AI and unauthorized tool usage introduces unprecedented vulnerabilities. As employees leverage external AI services for productivity gains, organizations face increasing risks of data exposure, intellectual property leakage, and compliance violations. This security gap between innovation and protection demands immediate attention.

The rise of shadow AI and unauthorized tool usage introduces unprecedented vulnerabilities. As employees leverage external AI services for productivity gains, organizations face increasing risks of data exposure, intellectual property leakage, and compliance violations. This security gap between innovation and protection demands immediate attention.

THE SOLUTION

THE SOLUTION

THE SOLUTION

Private LLM - Security baked into your infrastructure

Private LLM - Security baked into your infrastructure

While most guardrails work to add restrictions and access controls, your enterprise data is still vulnerable.

While most guardrails work to add restrictions and access controls, your enterprise data is still vulnerable.

SearchAI Private LLM works as a “bring your own data” module, ensuring that every interaction, insight, and innovation with your AI happens behind your firewall. It transforms data security and privacy from a limitation into a strategic asset, enabling your teams to leverage AI's capabilities without compromising security. 

SearchAI Private LLM works as a “bring your own data” module, ensuring that every interaction, insight, and innovation with your AI happens behind your firewall. It transforms data security and privacy from a limitation into a strategic asset, enabling your teams to leverage AI's capabilities without compromising security. 

With a private LLM, your data is protected with:

  1. End-to-end encryption of data: at rest, at transit

  1. Complete visibility and Human-in-loop control: You are in charge

  2. Seamless integration with existing security protocols: It works with what you have now


With a private LLM, your data is protected with:

  1. End-to-end encryption of data: at rest, at transit

  1. Complete visibility and Human-in-loop control: You are in charge

  2. Seamless integration with existing security protocols: It works with what you have now


With a private LLM, your data is protected with:


  1. End-to-end encryption of data:

    at rest, at transit


  1. Complete visibility and Human-in-loop control:

    You are in charge


  2. Seamless integration with existing security protocols:

    It works with what you have now


02

02

THE RISK

THE RISK

THE RISK

Balancing Spiraling GenAI Usage vs. Runaway Costs

Balancing Spiraling GenAI Usage vs. Runaway Costs

The unchecked growth of generative AI usage in the enterprise can lead to runaway costs. As more departments utilize AI services with token-based pricing models, seemingly small expenses can quickly escalate, potentially exceeding budgetary constraints.

The unchecked growth of generative AI usage in the enterprise can lead to runaway costs. As more departments utilize AI services with token-based pricing models, seemingly small expenses can quickly escalate, potentially exceeding budgetary constraints.

While promising, the rising use of AI in the enterprise presents a cost challenge. With most AI services operating on a pay-per-use token system, costs can escalate rapidly as more departments adopt AI tools. This necessitates shifting towards predictable, fixed-cost models to ensure sustainable AI adoption.

While promising, the rising use of AI in the enterprise presents a cost challenge. With most AI services operating on a pay-per-use token system, costs can escalate rapidly as more departments adopt AI tools. This necessitates shifting towards predictable, fixed-cost models to ensure sustainable AI adoption.

While promising, the rising use of AI in the enterprise presents a cost challenge. With most AI services operating on a pay-per-use token system, costs can escalate rapidly as more departments adopt AI tools. This necessitates shifting towards predictable, fixed-cost models to ensure sustainable AI adoption.

THE SOLUTION

THE SOLUTION

THE SOLUTION

Fixed-Cost - Align AI investment with your business growth

Fixed-Cost - Align AI investment with your business growth

SearchAI offers a different approach: a fixed-cost deployment model—an all-inclusive self-managed or fully-managed package with no surprise bills or fluctuating usage fees. 

SearchAI offers a different approach: a fixed-cost deployment model—an all-inclusive self-managed or fully-managed package with no surprise bills or fluctuating usage fees. 

SearchAI also leverages cost management strategies, such as the flexibility to deploy on-prem or in the cloud, which can mitigate high implementation expenses.

SearchAI also leverages cost management strategies, such as the flexibility to deploy on-prem or in the cloud, which can mitigate high implementation expenses.

This predictable pricing allows you to scale your AI initiatives confidently, knowing exactly what your costs will be, month after month.

This predictable pricing allows you to scale your AI initiatives confidently, knowing exactly what your costs will be, month after month.

03

03

THE RISK

THE RISK

THE RISK

The Data Integration Disconnect

The Data Integration Disconnect

At the enterprise level, it is pivotal for AI modules to consistently generate trust-worthy results across use cases and scenarios. Failure can lead to reputational and financial damage.

At the enterprise level, it is pivotal for AI modules to consistently generate trust-worthy results across use cases and scenarios. Failure can lead to reputational and financial damage.

Setting up high-quality data - scattered across departments, formats, and systems -  for retrieval is still a pertinent challenge.

Setting up high-quality data - scattered across departments, formats, and systems -  for retrieval is still a pertinent challenge.

According to IDC, "Organizations continue to find collecting and preparing data to be the most time-consuming aspect of RAG, which corresponds with anecdotal evidence of challenges in this area gathered by IDC in buyer conversations."

According to IDC, "Organizations continue to find collecting and preparing data to be the most time-consuming aspect of RAG, which corresponds with anecdotal evidence of challenges in this area gathered by IDC in buyer conversations."

According to IDC, "Organizations continue to find collecting and preparing data to be the most time-consuming aspect of RAG, which corresponds with anecdotal evidence of challenges in this area gathered by IDC in buyer conversations."

THE SOLUTION

THE SOLUTION

THE SOLUTION

Unified RAG and Hybrid Search Platform

Unified RAG and Hybrid Search Platform

When GenAI tools hallucinate or stall, it's often due to the complexities of data preparation. Most RAG systems work in isolation, leading to fragmented data, outdated content, and difficulties in scaling data ingestion.

When GenAI tools hallucinate or stall, it's often due to the complexities of data preparation. Most RAG systems work in isolation, leading to fragmented data, outdated content, and difficulties in scaling data ingestion.

SearchAI overcomes these challenges by unifying RAG and hybrid search into a single platform. This platform seamlessly connects all your AI tools to a single source of truth, streamlining data management and enhancing accuracy. 

SearchAI overcomes these challenges by unifying RAG and hybrid search into a single platform. This platform seamlessly connects all your AI tools to a single source of truth, streamlining data management and enhancing accuracy. 

SearchAI overcomes these challenges by unifying RAG and hybrid search into a single platform. This platform seamlessly connects all your AI tools to a single source of truth, streamlining data management and enhancing accuracy. 

With RAG, retrieved data is up-to-date, reducing hallucinations. Hybrid search ensures the retrieved data is contextually relevant and matched for keywords. This unified approach ensures rapid deployment and seamless integration with your existing infrastructure.

With RAG, retrieved data is up-to-date, reducing hallucinations. Hybrid search ensures the retrieved data is contextually relevant and matched for keywords. This unified approach ensures rapid deployment and seamless integration with your existing infrastructure.

Streamline your GenAI Deployment - with Confidence

Streamline your GenAI Deployment - with Confidence

Generative AI is making significant changes across industries - improving access to information, boosting productivity, and enhancing experiences. Understanding these trends is just the first step. 

Generative AI is making significant changes across industries - improving access to information, boosting productivity, and enhancing experiences. Understanding these trends is just the first step. 

Generative AI is making significant changes across industries - improving access to information, boosting productivity, and enhancing experiences. Understanding these trends is just the first step. 

Take the next step to drive real business value from these technologies.

Take the next step to drive real business value from these technologies.

Take the next step to drive real business value from these technologies.

Source: "IDC Market Perspective: Global GenAI Technology Trends Survey", By Hayley Sutherland, Research Manager, IDC, December 2024, Document #US50124024.


The research results described in this article are based on IDC's global survey of 624 IT decision-makers conducted between September-October 2024. All citations and data points referenced are from this research unless otherwise noted.

Source: "IDC Market Perspective: Global GenAI Technology Trends Survey", By Hayley Sutherland, Research Manager, IDC, December 2024, Document #US50124024.


The research results described in this article are based on IDC's global survey of 624 IT decision-makers conducted between September-October 2024. All citations and data points referenced are from this research unless otherwise noted.

Source: "IDC Market Perspective: Global GenAI Technology Trends Survey", By Hayley Sutherland, Research Manager, IDC, December 2024, Document #US50124024.


The research results described in this article are based on IDC's global survey of 624 IT decision-makers conducted between September-October 2024. All citations and data points referenced are from this research unless otherwise noted.

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