CtiPath services improve any customer interaction from critical, real-time applications... for enterprise level companies through small/medium businesses.
CtiPath
IT 服务与咨询
Raleigh，North Carolina 124 位关注者
Engage Better! CtiPath services improve customer engagements from any critical, real-time application.
关于我们
CtiPath engineers truly innovative products and voice applications for Cisco Contact Centers. Originally started in 2002, the team behind CtiPath has written and delivered enterprise software and contact-centers for numerous large enterprises and SMBs. We have experience working both directly with customers, or through an ATP partner, and are not only experts on contact center and mobile technology, but possess a deep understanding of the operations and needs of modern customer support organizations. Our extensive consulting, professional services and software development experience, paired with our solid project delivery methodology allows us to consistently deliver projects on-time and in-budget.
- 网站
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https://www.ctipath.com
CtiPath的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 11-50 人
- 总部
- Raleigh，North Carolina
- 类型
- 私人持股
- 创立
- 2012
- 领域
- Cisco Contact Center、Contact Center、Mobile、Hosted Contact Center、Managed Services和Smart Cities
产品
地点
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主要
获取路线
8480 Honeycutt Rd
US，North Carolina，Raleigh
CtiPath员工
动态
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Empowering Nonprofits Through Technology - December 2024 At CtiPath, we believe technology should be an enabler, not a barrier. Our mission is to support local nonprofits by providing affordable, cutting-edge technological solutions that help them work more efficiently, reduce costs, and focus on what matters most: their core community mission. Spotlights in this newsletter issue: ?? Tech Impact Celebrates Its 1,000th ITWorks Graduate ?? techfrederick Honors Local Innovators at the 2024 Techie Awards ?? NCDIT Receives Multiple Recognitions from NC TECH Honoring Innovative Work ?? Read more ?? https://lnkd.in/e8AkztYd #TechForImpact #Nonprofit #CommunitySupport #SocialImpact
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?? Demo of a multi-agent system to show collaboration between humans... ?? Author??Assists show how AI Agents can work with you and your team to create content, streamline workflows, and save time. ?? to explore how AI can transform your business? Let’s talk! Contact us at [email protected] or through our social media channels. Read more ?? https://lnkd.in/ea8ffqJn ??This demo was built using state-of-the-art AI technology from Langflow (DataStax), OpenAI, Anthropic, Hugging Face, and Weights & Biases. #AI #GenerativeAI #GenAI #AIAgents #AgenticAI #CEO #BusinessInnovation
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By handling routine tasks and providing intelligent suggestions, AI assistants free humans to do what they do best: think critically, create innovatively, and solve complex problems that require genuine human insight.
AI Agents: Amplifying Human Potential, Not Replacing It Think about writing tools. Would you prefer: ? A basic typewriter with zero assistance ? A tool that magically writes everything for you ? A smart collaborator that elevates your skills The sweet spot is the third option. AI agents aren't about substitution—they're about supercharging human creativity and expertise. Take coding as an example. AI coding assistants don't write entire applications from scratch. Instead, they: ? Suggest efficient code snippets ? Help debug complex problems ? Provide real-time learning and optimization tips The human remains the architect. The AI? A powerful, intelligent assistant. We're not heading toward a world where technology replaces humans. We're building a future where technology and human intelligence work together. Your skills + AI's capabilities = Unprecedented potential ?? Read more -> https://lnkd.in/eF8s9UGA #AIAgents #GenAI #AIInnovation #HumanPotential #TechCollaboration
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Empowering Nonprofits Through Technology - November 26, 2024 At CtiPath, we believe technology should be an enabler, not a barrier. Our mission is to support local nonprofits by providing affordable, cutting-edge technological solutions that help them work more efficiently, reduce costs, and focus on what matters most: their core community mission. Spotlights in this newsletter issue: ?? Apparo Releases AI Playbook for Nonprofits ?? NPower Bridges the Gap Between from the Military to Technology ?? Data Bull helps Nonprofits Wrangle their Data ?? Goodera launches AI Resource Hub for Nonprofits ?? Read more ?? https://lnkd.in/esGgCVVQ #TechForImpact #Nonprofit #CommunitySupport #SocialImpact
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Do you know how to make AI work for your business? ?? It's not about the hype. While there’s certainly hype in the market, there’s also substantial practical value to be gained—if you approach it strategically. AI implementation doesn’t need to be overwhelming or require massive investment. By starting with focused solutions to specific problems, using proven technologies, and scaling based on results, you can achieve significant business impact while managing both risk and cost. The key is to begin with clear objectives, measure results, and expand based on proven success. ?? Understand the Core Technologies ?? Identify some Real Business Applications with Quick Returns ?? Start Small and Scale Smart ?? Avoid Common Pitfalls ?? Learn more: https://lnkd.in/ejf2WjTW #AI #GenAI #GenerativeAI #CEO #COO #CFO #Enterprise #SMB
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Some thoughts on the "State of Enterprise AI" based on a recent survey...
The State of Enterprise AI... According to ChatGPT and AI Professionals Dataiku recently posted an interested article called "The Ultimate Test of ChatGPT". (See the post here: https://lnkd.in/eqNgPs4n) The article publishes the results of a survey run by Dataiku and Databricks of "400 AI Professionals from leading global companies" related to the current state of enterprise based AI initiatives. The surveyors then posed the same questions to ChatGPT by OpenAI to determine how close the chatbot's answers were to the AI professionals. They concluded that ChatGPT did very well, scoring 3.15 out of 5 in matching the AI professionals. Now, it's very interesting that ChatGPT could come so close to matching the survey results. But I also found the results themselves interesting: Q: What best describes the level of adoption of data science and/or AI at your organization? A: Interestingly, in these large organization with "AI professionals", the most popular responses were "Establishing" (24%) and "Expanding" (37%). Only 20% of respondents said they were "Embedding" data science/AI across their organization. Here's another: Q: Please rank all barriers preventing organizations from delivering more value from data, analytics, and AI, where 1 is the biggest/most present barrier. A: 1) Lack of quality data or ability to easily access the right data. 2) Inability to quickly operationalize and iterate on data, analytics, and AI products. 3) Lack of data talent or data-literate workforce. 4) Lack of visibility and control of data, analytics, and AI products across the organization. In many ways, these barriers demonstrated that the organizations are working against themselves through siloed data access, internal politics and control, and hiring issues. Note, that this survey was taken two years after ChatGPT was launched. So, while organizations (even large organizations) are excited about the prospects of AI, they have not yet figured out how to operationalize and productionize efficiently. (By the way, the majority of respondents also said they are seeing greater than 200% of ROI from AI initiatives. Seems that would be a great incentive to do more, instead of getting bogged down in the bureaucracy...) Recently, I wrote about how we take a "layered" approach to help organizations (large and small) move their AI initiatives from POC and pilot to production: https://lnkd.in/eSNiyKnz #AI #ArtificialIntelligence #GenAI #GenerativeAI #ChatGPT #Chatbot #Survey #Enterprise #ML #MachineLearning
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Providing Meaning With the Contexts: A Semantic Approach to Chunking for Retrieval Augmented Generation (RAG) As we language nerds know, meaning is found in context. But how do we provide context to our "context" when chunking documents for RAG? If the chunks stand alone, then we may not be retrieving the most relevant information to feed to the ChatBot. https://lnkd.in/e7iEYFax #MachineLearning #AI #ML #GenAI #MLOps #Enterprise
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Beyond Model Training: Essential Roles for Successful AI/ML Deployment It's important for many data scientists and machine learning engineers to understand linear algebra and calculus and how to train machine learning models and tune hyperparameters. However, for enterprise AI/ML deployment, understanding the foundational math and training is not as important, as long as they know how to implement the models themselves. In this article, we explore some of the key roles necessary for productionizing and operationalizing AI/ML in the enterprise... roles that do no need to have the specialized knowledge and skills necessary to train models. https://lnkd.in/etcm8Cm3 #MachineLearning #ML #AI #GenAI #Enterprise #MLOps
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