TIDWIT AI^*

The First AI Empowering Enterprise Ecosystem Enablement

Everyone is excited about AI, ChatGPT, and Generative AI and so are we! Notwithstanding the amazing power of AI, we are seeing disappointment in results being delivered. Whether it be the lawyer representing a man who sued an airline and relied on AI to help prepare the court filings (hint: it didn’t go down well with the judge) or a mayor in Australia suing for defamation by a chatbot, or violated GDPR privacy rights in Europe, or AI hallucinations, it is increasingly becoming evident that notwithstanding the power of AI, more is needed for secure and trustworthy deployment within the enterprise.

Related Content

* Patent pending

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TIDWIT AI^*

The First AI Empowering Enterprise Ecosystem Enablement

Everyone is excited about AI, ChatGPT, and Generative AI and so are we! Notwithstanding the amazing power of AI, we are seeing disappointment in results being delivered. Whether it be the lawyer representing a man who sued an airline and relied on AI to help prepare the court filings (hint: it didn’t go down well with the judge) or a mayor in Australia suing for defamation by a chatbot, or violated GDPR privacy rights in Europe, or AI hallucinations, it is increasingly becoming evident that notwithstanding the power of AI, more is needed for secure and trustworthy deployment within the enterprise.

Related Content

* Patent pending

We are excited to share that TIDWIT has developed AI technology specifically designed for enterprise ecosystem enablement to ensure a better fit for enterprise needs and to address all the following pain points which “B2C” AI is unable to deliver on:

Lack of Customization

B2C AI models are typically designed for a broad consumer audience, lacking the flexibility to cater to the specific needs and complexities of enterprise environments.

Data Privacy and Security

B2C AI may not provide the level of data privacy and security required by enterprises, such as GDPR, especially when dealing with sensitive business information, customer data, or compliance regulations.

Integration Challenges

Integrating B2C AI models into existing enterprise systems and ecosystem workflows can be challenging, as these models may not be designed to seamlessly integrate with enterprise applications or data sources.

Scalability Issues

B2C AI solutions may not be scalable enough to handle the large volumes of data and complex operations typically found in enterprise environments. They may struggle to deliver accurate and timely results when dealing with enterprise-scale tasks.

Lack of Domain Expertise

B2C AI models often lack specialized knowledge and expertise specific to enterprise domains, which can limit their effectiveness to ecosystems in addressing complex business challenges and delivering accurate, up-to-date, and insightful information.

Reliability and Trustworthiness

B2C AI models do not provide the same level of reliability and trustworthiness required by enterprises, as they are trained on diverse consumer data and may not have undergone rigorous testing for enterprise use cases nor the necessary curation for an ecosystem.

Misinformation and Hallucination

Using B2C AI models could accidentally result in what has become known as “AI hallucination”, which is the delivery of what at first view may appear to be real, but in truth is completely made-up false information. This is proving to be very costly due to droves of lawsuits being brought to light.

Limited Control and Governance

Enterprises need robust control and governance mechanisms over AI systems. B2C AI may not offer the necessary controls and transparency required for compliance, risk management, and regulatory obligations.

Lack of Alignment with Business Goals

B2C AI models may not align with the specific business objectives and strategies of enterprises or their ecosystems, limiting their ability to drive meaningful outcomes and deliver value in enterprise contexts.

Support and Maintenance

B2C AI models may not come with dedicated support or maintenance services tailored for enterprise customers or ecosystems, leading to challenges in troubleshooting issues, receiving timely updates, and ensuring long-term success.

The TIDWIT difference

TIDWIT is an AI driven Ecosystem Enablement SAAS Platform. It is the only enablement platform in the world that can empower AI within enterprise ecosystems. TIDWIT allows enterprises to drive AI and enablement at scale through a state-of-the-art SAAS platform that delivers interoperability, automation, and intelligence.

TIDWIT is focused on ecosystem enablement and AI workloads. Our platform solution brings together Enterprise Ecosystems, content, and AI powered workloads for an enterprise and its entire ecosystem of partners. TIDWIT avoids enterprises needing to build an AI stack, provides the ability to curate, secure, and privatize dynamic content, and this results in much higher accuracy, reliability, and trustworthiness than B2C models.

"What I like conceptually about TIDWIT is it is a true B2B platform. Rather than offering yet another useless content portal that nobody from either organization uses, TIDWIT integrates with the native content portal platform of each participant, allowing multi-party content management and enablement"

The main features and advantages of TIDWIT include:

Unique Ecosystem Technology

TIDWIT’s ecosystem technology stands out in the marketplace because it allows ecosystems to apply AI within their protected ‘walled gardens’. It enables the secure sharing of AI knowledge with partners and extends AI capabilities to the edge of ecosystem reach.

Ecosystem Enablement

TIDWIT focuses on ecosystem AI and enablement workloads, bringing together enterprise ecosystems, content, and AI-powered workloads, be they for internal use or for distribution to an entire ecosystem of partners.

Support for Various Enablement Workloads

TIDWIT supports a range of ecosystem workloads, including learning, knowledge management, enterprise content, testing and certification, marketing and campaigns, forms, questionnaires, and workspaces, among others.

Smarter and Automated Workloads

AI plays a central role in the TIDWIT ecosystem platform, making every workload smarter and more automated. AI technology helps improve efficiency and can be distributed throughout the entire ecosystem.

Deep AI Capabilities

TIDWIT’s focus on enablement workloads involves housing massive amounts of content and knowledge. This content serves as the basis for AI to deliver meaningful and accurate results across the ecosystem. In contrast, other ecosystem technologies may not have the same level of content and therefore cannot provide deep AI capabilities.

Avoidance of Building an AI Stack

TIDWIT eliminates the need for enterprises to build their own AI stack. It provides a platform that allows businesses to curate, secure, and privatize dynamic content, resulting in higher accuracy, reliability, and trustworthiness compared to B2C models.

Comparing TIDWIT AI* with Chat GPT 3.5

How your Enterprise can benefit

TIDWIT AI* could make every workload smarter and more automated and help push this to the entire ecosystem. TIDWIT AI* seamlessly integrates with TIDWIT’s Ecosystem Enablement workloads, offering AI capabilities in various areas such as learning, content management, marketing, and forms and questionnaires.

Enterprises can quickly launch their AI initiatives within minutes, benefiting from curated and syndicated content with accurate and trustworthy query results. The AI responses are contextual and based on dynamically updated and secure content. TIDWIT AI* can be deployed at a granular level, such as within specific documents, libraries, workloads, or nodes. It provides instant Ecosystem-wide AI without the need for coding or development. TIDWIT can be deployed in SAAS or PAAS modes, and it is compatible with hybrid-cloud environments for both enterprise and government deployments.

“The flexibility is incredible. Content interaction, personalized learning recommendations, content synthesis. And all at scale”

The main features and advantages of TIDWIT include:

"Walled gardens" of dynamically curated content

TIDWIT provides a secure environment with curated content, ensuring that users have access to high-quality and relevant information.

Contextualized AI on ecosystem content

TIDWIT’s AI algorithms analyze content from the ecosystem, offering contextual insights and recommendations to enhance decision-making and understanding.

Secure AI for business behind protected nodes

TIDWIT ensures that AI processing takes place within protected nodes, safeguarding sensitive business information and maintaining data security.

Sanitized AI with accurate and trustworthy information

TIDWIT’s AI processes data in a sanitized manner, ensuring accuracy, reliability, and trustworthiness in the results it delivers.

Automated and smart interaction with the enterprise ecosystem

TIDWIT enables automated and intelligent interactions, enhancing user experiences and making it easier to engage with the ecosystem.

AI-generated content for the ecosystem

TIDWIT leverages AI to generate new ecosystem content, such as enablement, sales, support, training, or marketing materials, using existing content as a basis.

PII protection for sensitive information

TIDWIT prioritizes the protection of personally identifiable information (PII), complying with data privacy regulations and ensuring the security of sensitive data.

Enhanced search capabilities

TIDWIT’s AI capabilities make searches smarter and more contextualized, providing users with more relevant and accurate search results.

Lower cost of ecosystem support

TIDWIT’s AI assists in supporting the ecosystem at a reduced cost by automating processes and workflows, improving efficiency, and reducing manual efforts.

Elimination of development and coding needs

TIDWIT’s AI platform is ready to use, eliminating the need for enterprises to invest in development and coding, enabling quick adoption and implementation.

Support for complex ecosystem segmentation

TIDWIT’s AI can handle complex ecosystem segmentation, enabling targeted and personalized experiences for different user groups and stakeholders.

Content generation from the ecosystem

TIDWIT’s AI can generate content from the ecosystem, helping businesses meet their content needs and enhancing content management and enablement.

TIDWIT AI* Insights: Exploring Tidwit AI* on Videos

Comparing TIDWIT AI with Chat GPT 3.5

TIDWIT AI Insights: Exploring Tidwit AI on Videos

By leveraging TIDWIT AI*, enterprises can save significant costs, improve connectivity, achieve automation, gain intelligence, and mitigate the risk of misinformation and AI hallucination. TIDWIT AI* allows organizations to create safe, secure, and trustworthy “walled gardens” of knowledge to expose AI to.

Connect with us today to request a TIDWIT Ecosystem AI demo an learn how you can make the most of your Ecosystem content and knowledge.

Search and Discover

When users search for content on the internet or utilize B2C AI, they must filter through a lot of noise, irrelevant, inaccurate, or untruthful content. With the “Ask TIDWIT AI” infused into the ecosystem, users will see the content that is relevant to their role, receive suggestions and intelligence that is contextual and relevant to their needs filtering out the noise.

Orchestration

TIDWIT allows businesses to apply AI on the right knowledge at the right time and to provision it to the right organizational ecosystem audience while securing access to only those meant to have such access. This saves time and resources, while assuring privacy and security.

Content Generation

TIDWIT AI enables businesses to take their ecosystem content much further. It can regenerate content from existing content, no matter which format it resides in the ecosystem. This enables them to create new content from existing content, for learning, marketing, operations or technical purposes.

Workload Automation

Using TIDWIT AI, businesses can automate workloads. They can create automated questionnaires based on consumed content and profiles of users. They can determine which day is best to send out a campaign or create automated newsletters based on the latest content, most accessed content, etc. Having users interact with a Learning campaign, TIDWIT AI can create custom learning paths for them. Or they can use it to ensure Continuous Readiness with Auto Assessment campaigns that assess user knowledge via automated knowledge checks and send out learning recommendations based on the results.

Support

Businesses can now integrate AI Support into their ecosystem and support partners and users by allowing them to ask any question they may have around the ecosystem that will allow them accurate and relevant answers. Since the content flows are fully automated, AI would be constantly updated.

We are excited to share that TIDWIT has developed AI technology specifically designed for enterprise ecosystem enablement to ensure a better fit for enterprise needs and to address all the following pain points which “B2C” AI is unable to deliver on:

Lack of Customization

B2C AI models are typically designed for a broad consumer audience, lacking the flexibility to cater to the specific needs and complexities of enterprise environments.

Reliability and Trustworthiness

B2C AI models do not provide the same level of reliability and trustworthiness required by enterprises, as they are trained on diverse consumer data and may not have undergone rigorous testing for enterprise use cases nor the necessary curation for an ecosystem.

Data Privacy and Security

B2C AI may not provide the level of data privacy and security required by enterprises, such as GDPR, especially when dealing with sensitive business information, customer data, or compliance regulations.

Misinformation and Hallucination

Using B2C AI models could accidentally result in what has become known as “AI hallucination”, which is the delivery of what at first view may appear to be real, but in truth is completely made-up false information. This is proving to be very costly due to droves of lawsuits being brought to light.

Integration Challenges

Integrating B2C AI models into existing enterprise systems and ecosystem workflows can be challenging, as these models may not be designed to seamlessly integrate with enterprise applications or data sources.

Limited Control and Governance

Enterprises need robust control and governance mechanisms over AI systems. B2C AI may not offer the necessary controls and transparency required for compliance, risk management, and regulatory obligations.

Scalability Issues

B2C AI solutions may not be scalable enough to handle the large volumes of data and complex operations typically found in enterprise environments. They may struggle to deliver accurate and timely results when dealing with enterprise-scale tasks.

Lack of Alignment with Business Goals

B2C AI models may not align with the specific business objectives and strategies of enterprises or their ecosystems, limiting their ability to drive meaningful outcomes and deliver value in enterprise contexts.

Lack of Domain Expertise

B2C AI models often lack specialized knowledge and expertise specific to enterprise domains, which can limit their effectiveness to ecosystems in addressing complex business challenges and delivering accurate, up-to-date, and insightful information.

Support and Maintenance

B2C AI models may not come with dedicated support or maintenance services tailored for enterprise customers or ecosystems, leading to challenges in troubleshooting issues, receiving timely updates, and ensuring long-term success.

Lack of Customization

B2C AI models are typically designed for a broad consumer audience, lacking the flexibility to cater to the specific needs and complexities of enterprise environments.

Data Privacy and Security

B2C AI may not provide the level of data privacy and security required by enterprises, such as GDPR, especially when dealing with sensitive business information, customer data, or compliance regulations.

Integration Challenges

Integrating B2C AI models into existing enterprise systems and ecosystem workflows can be challenging, as these models may not be designed to seamlessly integrate with enterprise applications or data sources.

Scalability Issues

B2C AI solutions may not be scalable enough to handle the large volumes of data and complex operations typically found in enterprise environments. They may struggle to deliver accurate and timely results when dealing with enterprise-scale tasks.

Lack of Domain Expertise

B2C AI models often lack specialized knowledge and expertise specific to enterprise domains, which can limit their effectiveness to ecosystems in addressing complex business challenges and delivering accurate, up-to-date, and insightful information.

Reliability and Trustworthiness

B2C AI models do not provide the same level of reliability and trustworthiness required by enterprises, as they are trained on diverse consumer data and may not have undergone rigorous testing for enterprise use cases nor the necessary curation for an ecosystem.

Misinformation and Hallucination

Using B2C AI models could accidentally result in what has become known as “AI hallucination”, which is the delivery of what at first view may appear to be real, but in truth is completely made-up false information. This is proving to be very costly due to droves of lawsuits being brought to light.

Limited Control and Governance

Enterprises need robust control and governance mechanisms over AI systems. B2C AI may not offer the necessary controls and transparency required for compliance, risk management, and regulatory obligations.

Lack of Alignment with Business Goals

B2C AI models may not align with the specific business objectives and strategies of enterprises or their ecosystems, limiting their ability to drive meaningful outcomes and deliver value in enterprise contexts.

Support and Maintenance

B2C AI models may not come with dedicated support or maintenance services tailored for enterprise customers or ecosystems, leading to challenges in troubleshooting issues, receiving timely updates, and ensuring long-term success.

This announcement includes the first of many new anticipated innovations for TIDWIT AI within ecosystems, including:

Search and Discover

When users search for content on the internet or utilize B2C AI, they must filter through a lot of noise, irrelevant, inaccurate, or untruthful content. With the “Ask TIDWIT AI” infused into the ecosystem, users will see the content that is relevant to their role, receive suggestions and intelligence that is contextual and relevant to their needs filtering out the noise.

Orchestration

TIDWIT allows businesses to apply AI on the right knowledge at the right time and to provision it to the right organizational ecosystem audience while securing access to only those meant to have such access. This saves time and resources, while assuring privacy and security.

Content Generation

TIDWIT AI enables businesses to take their ecosystem content much further. It can regenerate content from existing content, no matter which format it resides in the ecosystem. This enables them to create new content from existing content, for learning, marketing, operations or technical purposes.

Workload Automation

Using TIDWIT AI, businesses can automate workloads. They can create automated questionnaires based on consumed content and profiles of users. They can determine which day is best to send out a campaign or create automated newsletters based on the latest content, most accessed content, etc. Having users interact with a Learning campaign, TIDWIT AI can create custom learning paths for them. Or they can use it to ensure Continuous Readiness with Auto Assessment campaigns that assess user knowledge via automated knowledge checks and send out learning recommendations based on the results.

Support

Businesses can now integrate AI Support into their ecosystem and support partners and users by allowing them to ask any question they may have around the ecosystem that will allow them accurate and relevant answers. Since the content flows are fully automated, AI would be constantly updated.

The main features and advantages of TIDWIT include:

Unique Ecosystem Technology

TIDWIT’s ecosystem technology stands out in the marketplace because it allows ecosystems to apply AI within their protected ‘walled gardens’. It enables the secure sharing of AI knowledge with partners and extends AI capabilities to the edge of ecosystem reach.

Smarter and Automated Workloads

AI plays a central role in the TIDWIT ecosystem platform, making every workload smarter and more automated. AI technology helps improve efficiency and can be distributed throughout the entire ecosystem.

Ecosystem Enablement

TIDWIT focuses on ecosystem AI and enablement workloads, bringing together enterprise ecosystems, content, and AI-powered workloads, be they for internal use or for distribution to an entire ecosystem of partners.

Deep AI Capabilities

TIDWIT’s focus on enablement workloads involves housing massive amounts of content and knowledge. This content serves as the basis for AI to deliver meaningful and accurate results across the ecosystem. In contrast, other ecosystem technologies may not have the same level of content and therefore cannot provide deep AI capabilities.

Support for Various Enablement Workloads

TIDWIT supports a range of ecosystem workloads, including learning, knowledge management, enterprise content, testing and certification, marketing and campaigns, forms, questionnaires, and workspaces, among others.

Avoidance of Building an AI Stack

TIDWIT eliminates the need for enterprises to build their own AI stack. It provides a platform that allows businesses to curate, secure, and privatize dynamic content, resulting in higher accuracy, reliability, and trustworthiness compared to B2C models.

Unique Ecosystem Technology

TIDWIT’s ecosystem technology stands out in the marketplace because it allows ecosystems to apply AI within their protected ‘walled gardens’. It enables the secure sharing of AI knowledge with partners and extends AI capabilities to the edge of ecosystem reach.

Ecosystem Enablement

TIDWIT focuses on ecosystem AI and enablement workloads, bringing together enterprise ecosystems, content, and AI-powered workloads, be they for internal use or for distribution to an entire ecosystem of partners.

Support for Various Enablement Workloads

TIDWIT supports a range of ecosystem workloads, including learning, knowledge management, enterprise content, testing and certification, marketing and campaigns, forms, questionnaires, and workspaces, among others.

Smarter and Automated Workloads

AI plays a central role in the TIDWIT ecosystem platform, making every workload smarter and more automated. AI technology helps improve efficiency and can be distributed throughout the entire ecosystem.

Deep AI Capabilities

TIDWIT’s focus on enablement workloads involves housing massive amounts of content and knowledge. This content serves as the basis for AI to deliver meaningful and accurate results across the ecosystem. In contrast, other ecosystem technologies may not have the same level of content and therefore cannot provide deep AI capabilities.

Avoidance of Building an AI Stack

TIDWIT eliminates the need for enterprises to build their own AI stack. It provides a platform that allows businesses to curate, secure, and privatize dynamic content, resulting in higher accuracy, reliability, and trustworthiness compared to B2C models.

The benefits of TIDWIT AI and Enablement can be summarized as follows:

"Walled gardens" of dynamically curated content

TIDWIT provides a secure environment with curated content, ensuring that users have access to high-quality and relevant information.

PII protection for sensitive information

TIDWIT prioritizes the protection of personally identifiable information (PII), complying with data privacy regulations and ensuring the security of sensitive data.

Contextualized AI on ecosystem content

TIDWIT’s AI algorithms analyze content from the ecosystem, offering contextual insights and recommendations to enhance decision-making and understanding.

Enhanced search capabilities

TIDWIT’s AI capabilities make searches smarter and more contextualized, providing users with more relevant and accurate search results.

Secure AI for business behind protected nodes

TIDWIT ensures that AI processing takes place within protected nodes, safeguarding sensitive business information and maintaining data security.

Lower cost of ecosystem support

TIDWIT’s AI assists in supporting the ecosystem at a reduced cost by automating processes and workflows, improving efficiency, and reducing manual efforts.

Sanitized AI with accurate and trustworthy information

TIDWIT’s AI processes data in a sanitized manner, ensuring accuracy, reliability, and trustworthiness in the results it delivers.

Elimination of development and coding needs

TIDWIT’s AI platform is ready to use, eliminating the need for enterprises to invest in development and coding, enabling quick adoption and implementation.

Automated and smart interaction with the enterprise ecosystem

TIDWIT enables automated and intelligent interactions, enhancing user experiences and making it easier to engage with the ecosystem.

Support for complex ecosystem segmentation

TIDWIT’s AI can handle complex ecosystem segmentation, enabling targeted and personalized experiences for different user groups and stakeholders.

AI-generated content for the ecosystem

TIDWIT leverages AI to generate new ecosystem content, such as enablement, sales, support, training, or marketing materials, using existing content as a basis.

Content generation from the ecosystem

TIDWIT’s AI can generate content from the ecosystem, helping businesses meet their content needs and enhancing content management and enablement.

"Walled gardens" of dynamically curated content

TIDWIT provides a secure environment with curated content, ensuring that users have access to high-quality and relevant information.

Contextualized AI on ecosystem content

TIDWIT’s AI algorithms analyze content from the ecosystem, offering contextual insights and recommendations to enhance decision-making and understanding.

Secure AI for business behind protected nodes

TIDWIT ensures that AI processing takes place within protected nodes, safeguarding sensitive business information and maintaining data security.

Sanitized AI with accurate and trustworthy information

TIDWIT’s AI processes data in a sanitized manner, ensuring accuracy, reliability, and trustworthiness in the results it delivers.

Automated and smart interaction with the enterprise ecosystem

TIDWIT enables automated and intelligent interactions, enhancing user experiences and making it easier to engage with the ecosystem.

AI-generated content for the ecosystem

TIDWIT leverages AI to generate new ecosystem content, such as enablement, sales, support, training, or marketing materials, using existing content as a basis.

PII protection for sensitive information

TIDWIT prioritizes the protection of personally identifiable information (PII), complying with data privacy regulations and ensuring the security of sensitive data.

Enhanced search capabilities

TIDWIT’s AI capabilities make searches smarter and more contextualized, providing users with more relevant and accurate search results.

Lower cost of ecosystem support

TIDWIT’s AI assists in supporting the ecosystem at a reduced cost by automating processes and workflows, improving efficiency, and reducing manual efforts.

Elimination of development and coding needs

TIDWIT’s AI platform is ready to use, eliminating the need for enterprises to invest in development and coding, enabling quick adoption and implementation.

Support for complex ecosystem segmentation

TIDWIT’s AI can handle complex ecosystem segmentation, enabling targeted and personalized experiences for different user groups and stakeholders.

Content generation from the ecosystem

TIDWIT’s AI can generate content from the ecosystem, helping businesses meet their content needs and enhancing content management and enablement.

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