Tectonic shifts in AI
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The rise of AI in the digital workplace

Blog: Infrastructure solutions for AI

Q3 2024 FOCUS: AI

Preparing for an AI-driven future

The artificial intelligence (AI) revolution is in full swing as record numbers of organizations race to adopt AI to improve business operations, enhance productivity, foster creativity, and drive significant business growth. Discover what strategies, structures, and talent business leaders need to put in place to prepare their organizations for an AI-driven future.

5 pitfalls to avoid during enterprise AI adoption
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TECH TRENDS

The unprecedented speed of generative AI makes preparation the top priority for CIOs and IT teams
AI Readiness
Preparing for AI
AI Adoption
AI-enabled Security
The timing is right for service providers to capture a new market share of analytics and AI..
Businesses are modernizing their applications to increase the speed of driving new functionality to market faster. Most organizations will rely on experienced partners to modernize their applications, for either handling the process entirely or leading in-house staff. Prioritizing which applications should be refactored or written to be cloud-native is best achieved through an upfront assessment and roadmap to fully understand data complexities and interdependencies.
Speak with an AI expert

%

of organizations believe AI will give them a competitive advantage.
Crayon
$28M
will be spent on GenAI by large enterprises over the next 12 months.
IDC

%

of decision-makers plan to engage with external service providers for data and analytics initiatives.
Forrester Wave AI Service Providers Q4 2022
AI enhances operations, drives innovation, and improves customer experiences.
AI empowers your team to expand their capabilities, streamline and automate workflows, and optimize costs. But AI relies on fast, low-latency networks and modernized infrastructure. Sensitive data and intellectual property could be at risk using a public GPT. Your enterprise must follow the best practices for AI adoption or risk exposure to new types of vulnerabilities.
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%

of organizations consider inaccuracy the primary risk of AI adoption.

McKinsey

%

of businesses have leadership dedicated to AI governance and adoption.

McKinsey

%

of companies have an AI roadmap in place.

McKinsey

Obstacles to adopting AI
A successful AI adoption depends heavily on the truth in the adage “garbage in, garbage out”. Enterprises must take steps to ensure the quality and accuracy of the data used to train AI models and root out non-inclusive biases. Generative AI hallucinations remain a top concern of AI implementers, with many organizations reporting negative consequences from inaccuracies. The pace of innovation means that IT often lacks the controls and visibility to mitigate the risks of AI adoption. The regulatory landscape is evolving as technology emerges, which means that AI usage and implementation could look very different over the coming years.

To ensure a smooth migration to AI, new adopters must centralize data, strategically deploy automation and machine learning, manage policies and compliance, and select an experienced AI implementation partner to guide them through the process.

Speak with an AI expert

%

of organizations have an AI skills hiring strategy.

McKinsey

%

of businesses have clear metrics to track AI effectiveness across the organization.

McKinsey

%

of private GenAI models allow for audits, bias checks, and risk assessments.
McKinsey
Fight fire with fire
The future of security will be a war of AIs. Threat actors increasingly use GenAI and deepfake technology to forge more convincing social engineering attacks. They utilize automation to speed up brute force attacks and deploy malware as a service package to maximize the number of targets.

The only way to resist increasingly AI-powered attacks is to utilize AI-enabled security. Next-generation security tools such as virtual networking assistants guide cybersecurity professionals by flagging suspicious behavior. Self-driving automation can respond to threats in real time with minimal human input.

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%

of organizations were affected by ransomware in 2023.

Deloitte

%

of data breaches came from stealing valid credentials.

Deloitte

%

increase in phishing attacks in 2023.
SC Magazine
The future of AI security
In an ever-evolving digital landscape, the interplay between artificial intelligence (AI), emerging threats, and the concept of zero trust has become a critical facet of cybersecurity. John Bruggeman, CBTS Consulting CISO, and Chip Wagner, IBM Cybersecurity Leader, dive into a thought-provoking and informative discussion that explores the convergence of these three dynamic elements and their impact on the security of organizations and individuals alike.
Read the blog
The impact of AI on Cybersecurity: Top concerns for CISOs

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AI security: Embedded and enabled tools

Fight increasingly sophisticated threat vectors with AI-enabled and embedded security services. Our security team utilizes the next generation of AI security tools such as extended detection and response (XDR) to seek out and destroy emerging threats, boosting the efficacy of your security posture.

CBTS is a best-of-breed, managed services provider incorporating AI into the tools we use to support our enterprise clients’ IT environments on a daily basis, managing operations, security, and analytics. Additionally, CBTS offers advisory professional services to help your organization adopt AI through our AI Accelerator program.

CBTS is your trusted partner for implementing the AI stack–the necessary low-latency and high-speed networking, infrastructure, and computing resources for successfully deploying AI in your organization. With longstanding partnerships with AI industry leaders such as HPE, Dell, Cisco, and public cloud AWS and Azure, we empower your organization to navigate AI migration successfully.

AI-driven Endpoint Security
Thought leadership blogs

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Advanced security solutions to protect your organization from malicious activity.

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