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Summarize complex data and understand architectural patterns for generative AI.
Fine-tune a foundational LLM like Llama for domain-specific tasks.
Evaluate and monitor LLMs to ensure AI application integrity, trustworthiness, and reliability.
Deploy generative AI into sales, finance, and customer-facing teams.
It's your turn
to be boundless
SHI helps you harness the power of LLMs to drive innovation at scale.
That’s why we’re telling you about SHI's state-of-the-art Gen AI Lab: your gateway to leveraging cutting-edge large language models (LLMs) and exploring their transformative potential across sectors like finance, high-tech, life sciences, and more. You can unleash up to 75% gains in critical areas like customer operations, marketing and sales, and software engineering to name a few.
The Gen AI Lab is an advanced research and development facility dedicated to pioneering generative AI applications, using industry-leading large language models, such as Llama, Mistral, and more. It’s your time to unlock new efficiencies by:
Accessing a collaborative space that fosters rapid prototyping of gen AI apps.
Consulting seasoned, published AI experts who are ready to help you reduce time-to-value.
Don’t just hear about the future; be a part of it. Explore your generative AI journey below!
Inside innovation
Leverage advanced natural language processing (NLP) analytics for deeper insights into customer data.
Partnering with our AI experts means you’ll receive assistance with generating ideas, quickly creating prototypes, and implementing proof of concepts for AI. SHI works alongside your team to:
Empowering LLM exploration and deployment
The SHI edge
Whether enhancing workflow productivity, customer satisfaction, or reducing costs, our generative AI experts provide:
End-to-end ML workbench for streamlined model development and deployment.
Custom-built data pipelines and synthetic data generators to create diverse training datasets.
Standard generative AI use cases and advanced fine-tuning capabilities tailored to your needs.
Grounded LLMs for enhanced context and safety.
Outcomes worth the effort
Speed
and agility
Quality
of talent
Validation
and financial planning
Collaboration
Get PoCs in 2-6 weeks.
Work with PhDs and seasoned AI practitioners from top institutions.
Experiment in a low-risk environment to validate ROI before scaling investments.
Gain a reliable and secure partner to drive your AI innovations.
5-step strategic LLM implementation roadmap
Accelerated generative AI experimentation and validation
Seamless integration with multiple cutting-edge LLMs
Capabilities spanning NLP, computer vision, and
multimodal AI
Expert team to engineer, scale,
and monitor AI models
in production
Vendor-neutral processes for flexibility and best-fit solutions
Key benefits:
Up to 30% gains in operational efficiency across key workflows
Lower operational costs by 10% through automation of routine tasks
Over 25% increase in developer productivity with intelligent code generation tools
An accelerated experience to unlock generative AI's full potential:
Learn more about SHI's generative AI services
Contact our experts today to get started.
When you hear about generative AI transforming whole industries, you probably have two thoughts:
The need to
simplify and streamline
Cybersecurity solutions
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When asked to identify the greatest barrier to addressing cybersecurity challenges, the top concern was rapidly evolving and sophisticated threats (36.1% of respondents), followed by limited cybersecurity staff or expertise (20.4%) and inadequate funding (17%).
Further expanding on the staffing challenge, Nick Casanova, SHI Public Sector Senior Solutions Director, states, “Not only can states and local governments not hire enough cybersecurity professionals, but they also have a very difficult time hiring contractors to fill the void. This is because managed service contracts for staff augmentation are usually done at the state level with general pay-per-hour rates that are not in line or competitive with standard cybersecurity professional salaries.”
The top challenge can be summarized as complexity.
What are your organization's top challenges with your cybersecurity technology? Please select up to 3.
Managing the growing complexity of devices, workloads, and identities
Complex solution deployment, tuning, and maintenance
Not enough automation/too many manual processes
Lack of integration with other tools
Vulnerability to 3rd party supply chain risks
Limited visibility into endpoint devices
High rate of false positives
Do not know
Other
63.9%
37.4%
32.0%
29.3%
27.2%
21.8%
8.2%
8.2%
12.2%
When it comes to their organization’s cybersecurity technology, the complexity continues in the form of growing devices, workloads, and identities – with nearly two-thirds (63.9%) of survey respondents selecting this answer. The other top two results showed that 37.4% of the government leaders struggled with complex solution deployment, tuning, and maintenance, while 32% lacked enough automation or had too many manual processes.
Additionally, about one-third of respondents chose lack of integration with other tools and vulnerability to third-party supply chain risks as leading challenges.
The data reflects a maturing understanding of cybersecurity technology and the necessity of each function. No longer seen as an isolated IT issue, government leaders recognize how interconnected cybersecurity functions are – touching tools, people, and processes across the organization. There is a pressing need to streamline and secure the many facets involved, including threat protection, improved automation, and training.
“Organizations are looking for help to make sense of that complexity and starting to really get the fact that everything is connected to everything else – and it’s not going to go away,” said VP of CDG and Governing Institute Todd Sander.
SHI Public Sector Field Solutions Engineer Steve Troxel adds, “We are now at a point where business leaders can’t say they did not know about the cybersecurity risks of their actions.”
Back
What is your organization's biggest barrier to addressing cybersecurity challenges?
Rapidly evolving and sophisticated threats
36.1%
Limited cybersecurity staffing or expertise
20.4%
Inadequate cybersecurity funding
17.0%
Outdated legacy technologies and infrastructure
12.9%
Lack of staff awareness or training
4.8%
Other
4.1%
No barriers
4.8%
Evolving threats, proliferation of devices, and too many manual processes result in an environment that is difficult to secure.
3 cybersecurity challenges
Simplify and streamline
Role of
funding
Investments for today
Security program
strategy
Solve what's next
with SHI
Next
Explore
The increasingly complex, rapidly changing cybersecurity environment
The need to simplify
and streamline
The role of funding
Investments for today
and beyond
Security program strategy
Solve what's next with SHI