As an official technology partner of Qlik in AI, Luminoso is excited to seamlessly deliver the power of its technology to Qlik users worldwide.

Luminoso, a leader in AI-driven text analytics, is excited to announce a partnership with Qlik, a global leader for data integration, data analytics and business intelligence solutions. This partnership is set to transform the field of analytics by integrating Luminoso’s advanced text analytics into Qlik’s leading BI tool, providing professionals with unparalleled insights and decision-making capabilities. As an official technology partner of Qlik in AI, Luminoso is excited to seamlessly deliver the power of its technology to Qlik users worldwide.

Business analysts and customer experience professionals who try to analyze their customers and markets solely through the lens of structured data limit their ability to derive the broadest and best sets of insights about customer behavior. In fact, this structured data represents only 20% of enterprise data according to multiple analyst estimates. The remaining 80% of data is unstructured and can contain valuable customer insights through sources such as product reviews, discussion forums, trouble tickets, and customer emails.

By integrating Luminoso’s ability to understand unstructured data and structured consumer sentiment with Qlik’s depth of analytics, companies are now able to analyze and understand previously disparate data sources and types to gain a more complete view and thus achieve a competitive advantage.

“Structured data can point to a decline in sales that’s already happened. Understanding and tracking customer sentiment through unstructured data can serve as a leading indicator of financial performance but also can help shape future product direction and the entire customer experience. This is why we believe the combined capabilities of Luminoso and Qlik in a single environment are profoundly compelling,” said Mark Zides, CEO & President of Luminoso.

Also Read: AiThority Interview with Seema Verma, EVP and GM, Oracle Health and Life Sciences

“Luminoso deciphers and quantifies human feedback. Luminoso then integrates its results along with its visual analytics within Qlik Sense^® for a new level of insight that was previously not available. This combination will enable comprehensive customer & market intelligence, providing an all-round understanding of consumer sentiments and preferences ” said Hugo Sheng, Senior Director of Partner Engineering.

Luminoso’s solutions were spotlighted at Qlik Connect 2024, where we engaged with hundreds of global business leaders & analysts from HR, Retail, technology, healthcare, and marketing sectors.

“This integration allows for users to perform sentiment analysis and trend identification on a concept level within Qlik dashboards. This enhanced analysis helps businesses make informed decisions, optimize strategies, and drive better outcomes,” said Dalton Ruer, Senior Solutions Architect – Partner Engineering at Qlik.

Announcing Prathik N Sunku as Head of Partnerships & Alliances and David Rautkys as Head of Corporate Development & Innovation

“We are thrilled to announce the appointments of Prathik N Sunku as Luminoso’s new Head of Partnerships & Alliances, and David Rautkys as Head of Corporate Development & Innovation. Prathik brings a wealth of experience in fostering strategic partnerships and driving growth in the analytics and technology sectors, while David’s expertise in innovation and corporate development will be instrumental in expanding Luminoso’s reach and enhancing its impact in the market,” said Mark Zides.

​​”Our AI’s ability to deliver in-depth, nuanced comprehension allows businesses to quickly familiarize themselves with customer and market dynamics by analyzing real-time feedback from platforms like Reddit, Amazon, and Glassdoor, directly within Qlik dashboards,” said Prathik N Sunku.

“Analysts and consultants can explore new dimensions using feedback data organized as structured insights from discussions and conversations across different channels, all within Qlik workflows. This integration offers sales teams deeper insights into customer behavior and preferences, enabling more targeted and effective sales strategies,” added David Rautkys.

Also Read: AiThority Interview with Kunal Purohit, President – Next Gen Services, Tech Mahindra

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Accelerating GenAI Adoption with an Open Source Platform for Seamless AI, LLMOps, and MLOps Development, Deployment, and Resource Management

ClearML, the leading solution for unleashing AI in the enterprise, today announced the launch of its expansive end-to-end AI Platform, designed to streamline AI adoption and the entire development lifecycle. This unified, open source platform supports every phase of AI development, from lab to production, allowing organizations to leverage any model, dataset, or architecture at scale. ClearML’s platform integrates seamlessly with existing tools, frameworks, and infrastructures, offering unmatched flexibility and control for AI builders and DevOps teams building, training, and deploying models at every scale on any AI infrastructure.

With this release, ClearML becomes the most flexible, wholly agnostic, end-to-end AI platform in the marketplace today in that it is:

– Silicon-agnostic: supporting NVIDIA, AMD, Intel, ARM, and other GPUs
– Cloud-agnostic: supporting Azure, AWS, GCP, Genesis Cloud, and others, as well as multi-cloud
– Vendor-agnostic: supporting the most popular AI and machine learning frameworks, libraries, and tools, such as PyTorch, Keras, Jupyter Notebooks, and others
– Completely modular: Customers can use the full platform alone or integrate it with their existing AI/ML frameworks and tools such as Grafana, Slurm, MLflow, Sagemaker, and others to address GenAI, LLMOps, and MLOps use cases and to maximize existing investments.

“ClearML’s end-to-end AI platform is crucial for organizations looking to streamline their AI operations, reduce costs, and enhance innovation – while safeguarding their competitive edge and future-proofing their AI investments by using our completely cloud-, vendor-, and silicon- agnostic platform,” said Moses Guttmann, Co-founder and CEO of ClearML. “By providing a comprehensive, flexible, and secure solution, ClearML empowers teams to build, train, and deploy AI applications more efficiently, ultimately driving better business outcomes and faster time to production at scale.”

The ClearML end-to-end AI Platform encompasses newly expanded capabilities and integrates previous stand-alone products, and includes:

Also Read: AiThority Interview with Seema Verma, EVP and GM, Oracle Health and Life Sciences

– A GenAI App Engine, designed to make it easy for AI teams to build and deploy GenAI applications, maximizing the potential and the value of their LLMs.
– An Open Source AI Development Center, which offers collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment. Users can develop their ML code and automation with ease, ensuring their work is reproducible and scalable.
– An AI Infrastructure Control Plane, helping customers manage, orchestrate, and schedule GPU compute resources effortlessly, whether on-premise, in the cloud, or in hybrid environments. These new capabilities, which were also introduced today in a separate announcement, maximize GPU utilization and provide fractional GPUs, as well as multi-tenancy and extensive b****** and chargeback capabilities that offer precise cost control, empowering customers to optimize their compute resources efficiently.

ClearML’s AI Platform enables customers to use any type of machine learning, deep learning, or large language model (LLM) with any dataset, in any architecture, at scale. AI Builders can seamlessly develop their ML code and automation, ensuring their work is reproducible and scalable. That’s important, because it addresses several critical challenges faced by organizations in developing, deploying, and managing AI solutions in the most complex and demanding environments. Here’s why it matters:

Unified End-to-end Workflow: ClearML provides a seamless workflow that integrates all stages of AI development, from data ingestion and model training to deployment and monitoring. This unified approach eliminates the need for multiple disjointed tools, simplifying the AI adoption and development process.

Superior Efficiency and ROI: ClearML’s new AI infrastructure orchestration and management capabilities help customers execute 10X more AI and HPC workloads on their existing infrastructure.

Interoperability: The platform is designed to work with any machine learning framework, dataset, or infrastructure, whether on-premise, in the cloud, or in a hybrid environment. This flexibility ensures that organizations can use their preferred tools and avoid vendor lock-in.

Orchestration and Automation: ClearML automates many aspects of AI development, such as data preprocessing, model training, and pipeline management. This ensures full utilization of compute resources for multi-instance GPUs and job scheduling, prioritization, and quotas. ClearML empowers team members to schedule resources on their own with a simple and unified interface, enabling them to self-serve with more automation and greater reproducibility.

Scalable Solutions: The platform supports scalable compute resources, enabling organizations to handle large datasets and complex models efficiently. This scalability is crucial for keeping up with the growing demands of AI applications.

Optimized Resource Utilization: By providing detailed insights and controls over compute resource allocation, ClearML helps organizations maximize their GPU and cloud resource utilization. This optimization leads to significant cost savings and prevents resource wastage.

Budget and Policy Control: ClearML offers tools for managing cloud compute budgets, including autoscalers and spillover features. These tools help organizations predict and control their monthly cloud expenses, ensuring cost-effectiveness, by providing advanced user management for superior quota/over-quota management, priority, and granular control of compute resources allocation policies.

Enterprise-Grade Security: The platform includes robust security features such as role-based access control, SSO authentication, and LDAP integration. These features ensure that data, models, and compute resources are securely managed and accessible only to authorized users.

Real-Time Collaboration: The platform facilitates real-time collaboration among team members, allowing them to share data, models, and insights effectively. This collaborative environment fosters innovation and accelerates the development process.

Also Read: AiThority Interview with Kunal Purohit, President – Next Gen Services, Tech Mahindra

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CloudOffix, a trailblazer in Low-Code Total Experience Platforms, is excited to announce the launch of its latest AI-powered features.

CloudOffix, a trailblazer in Low-Code Total Experience Platforms, is excited to announce the launch of its latest AI-powered features. These innovations are set to redefine how businesses operate, delivering enhanced efficiency, superior customer experiences, and intelligent automation across various functions.

Also Read: AiThority Interview with Kunal Purohit, President – Next Gen Services, Tech Mahindra

“Our latest AI features mark a visionary leap forward in integrating artificial intelligence into core business functions,” said Gokhan Erdoğdu, CEO of CloudOffix. “These enhancements deliver unparalleled efficiency, accuracy, and personalization, empowering our clients to excel in today’s dynamic market environment.”

Key Advantages of CloudOffix’s AI Enhancements:

-Operational Efficiency: Automate routine tasks, reduce response times, and boost productivity.
-Precision in Communication: AI-driven tools ensure business communications are professional, accurate, and polished.
-Scalable Solutions: Flexible AI capabilities that grow with your business, adapting to new challenges and opportunities.
-Enhanced Customer Experiences: Deliver personalized interactions that cater to customer needs and exceed expectations.

A Smarter, Centralized Approach to Business Intelligence

Not all AI is created equal. Total AI—CloudOffix’s revolutionary approach that sets a new benchmark for smarter, more accurate AI by centralizing data and integrating it across various front-office processes. CloudOffix is pioneering this innovative technology to transform how businesses operate, innovate, and succeed.

Total AI seamlessly brings together data and functionalities from multiple business units, including sales, CRM, HR, marketing, project management, invoicing, and more. This comprehensive integration ensures a smooth and cohesive data flow across the entire organization, breaking down silos and enabling more informed decision-making.

By leveraging AI to analyze vast amounts of data from diverse sources, Total AI empowers businesses to make more informed decisions across key areas such as sales forecasting, personalized marketing, and operational efficiency. This data-driven approach ensures that decisions are not just timely but also highly accurate and impactful.

Total AI plays a pivotal role in understanding customer behavior and preferences, enabling businesses to tailor their offerings and interactions to meet individual needs, ultimately enhancing the customer experience. Additionally, it optimizes employee experiences by streamlining HR processes, identifying the best-fit candidates, and providing personalized training and development, thereby improving satisfaction and productivity.

With AI-driven tools, Total AI enhances digital interactions, making them more intuitive and efficient. Whether through AI-powered chatbots or advanced analytics, businesses can better understand user behavior and deliver seamless, responsive user experiences that drive satisfaction and engagement.

Also Read: AiThority Interview with Seema Verma, EVP and GM, Oracle Health and Life Sciences

Why Centralized Data Matters

The effectiveness of AI hinges on the quality and comprehensiveness of its training data. In many organizations, data is fragmented across departments, resulting in incomplete or inconsistent datasets. Total AI solves this problem by centralizing data from all front-office processes within a single platform.

By consolidating data from sales, marketing, customer support, and HR, Total AI creates a comprehensive, 360-degree view of the business. This unified data structure allows AI to draw connections and uncover insights that would otherwise remain hidden in isolated datasets, resulting in more intelligent AI that can generate highly accurate predictions and recommendations.

How Total AI Enhances AI IQ

Rich, Diverse Data Sources: Access to data from multiple departments allows Total AI to analyze a broader array of variables and scenarios, enriching the AI’s learning process and improving its adaptability and accuracy.

-Contextual Understanding: Centralized data enables Total AI to understand the context behind each data point. For example, a sales figure isn’t just a number; it’s part of a broader narrative that includes customer interactions, marketing campaigns, and HR efforts. This contextual understanding leads to more nuanced and insightful analysis.

-Real-Time Updates: Total AI ensures that data is continuously updated in real-time, so AI models are always working with the most current information, providing timely and relevant insights.

-Cross-Department Collaboration: By integrating data across departments, Total AI fosters collaboration and alignment within the organization. AI-driven insights can be shared across teams, leading to more cohesive strategies and better decision-making.

CloudOffix’s integrated approach amplifies our AI capabilities to deliver smarter, more actionable insights. With CloudOffix Total AI, the possibilities for what you can achieve with artificial intelligence are truly limitless.

Also Read: AiThority Interview with Yair Amsterdam, CEO of Verbit 

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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AiAssistWorks unveils a cutting-edge AI add-on for Google Sheets, offering seamless and complete AI integration for users of all skills levels.

AiAssistWorks has launched a powerful AI Google Sheets add-on, crafted to seamlessly integrate cutting-edge AI technology into Google Sheets for streamlined filling tasks and comprehensive data analysis, enabling both novice and expert users to enhance their productivity.

Also Read: AiThority Interview with Seema Verma, EVP and GM, Oracle Health and Life Sciences

In recent years, the proliferation of AI tools has reshaped various aspects of daily life and work, with companies, from startups to major corporations, developing their own AI models to optimize operations and decision-making. AiAssistWorks capitalizes on this trend by embedding a versatile AI solution within Google Sheets, one of the most widely used tools for data analysis and management.

Unlike typical AI integrations requiring complex setups and specialized knowledge, AiAssistWorks offers a unique approach that eliminates the need for writing custom formulas like “=GPT.” Users can interact with the add-on through a straightforward, user-friendly interface, allowing them to save and reuse AI prompts without the hassle of complex formula configurations. This feature not only simplifies the user experience but also enhances productivity by reducing the time and effort spent on repetitive data tasks.

The AiAssistWorks add-on supports connections to numerous AI providers, including industry leaders such as OpenAI, Anthropic, and Gemini, using individual API keys. This flexibility enables users to employ a wide range of AI models, making it possible to leverage nearly all available large language models (LLMs) directly within their spreadsheets. This level of integration is unprecedented in the realm of Google Sheets AI tools.

Also Read: AiThority Interview with Kunal Purohit, President – Next Gen Services, Tech Mahindra

“Our product stands out because it democratizes access to advanced AI functionalities, allowing users to enhance their Google Sheets experience without the need for extensive technical knowledge or financial investment,” explained a spokesperson for AiAssistWorks. “By making our tool affordable and easy to use, we are opening up a world of possibilities for utilizing advanced AI models in daily life that were previously only available to specialists.”

As businesses continue to embrace AI technologies to gain competitive advantages, tools like AiAssistWorks are becoming essential for anyone looking to incorporate AI into their daily workflows efficiently and affordably. This add-on is not just a tool; it’s a bridge to the future of work, where AI and human ingenuity combine to create unprecedented opportunities for innovation and efficiency.

Also Read: AiThority Interview with Yair Amsterdam, CEO of Verbit 

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Collaboration combines Cloudian HyperStore AI data lake software and Supermicro hardware to deploy hyperscale infrastructure

Cloudian, the leader in secure S3-compatible AI data lake platforms, and Supermicro , the leader in Total IT Solutions for AI, Cloud Storage, and 5G/Edge, today announced a strategic collaboration to deliver a groundbreaking data management solution designed to simplify and accelerate large-scale AI implementations. This comprehensive solution integrates exabyte-scalable storage and GPU-based computing to accelerate and simplify AI deployment in data-intensive use cases such as genomics, healthcare imaging, autonomous vehicles, video surveillance, security, and scientific research.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

Petabytes of unstructured data used in large-scale AI training processing must be available to the GPU servers with low latencies and high bandwidth to keep the GPUs productive. Cloudian software deployed on Supermicro’s extensive portfolio of Intel and AMD based storage servers meets this need with a robust, highly-performant and easy-to-manage solution optimized for next-gen AI workflows.

“As AI users transition towards increasingly capacity-intensive applications, the need for hyperscale-class infrastructure that enables direct access to massive data sets is critical,” said Jon Toor, CMO of Cloudian. “Our collaboration with Supermicro merges our enterprise-proven, exabyte-scalable AI data lake platform with Supermicro’s leading GPU compute expertise, delivering the industry’s richest technology stack for large-scale AI computing.”

“Supermicro is thrilled to partner with Cloudian to introduce this workload-intensive data-management solution,” said Michael McNerney, Senior VP of Marketing and Network Security, Supermicro. “Combining Supermicro’s NVIDIA-Certified Systems with Cloudian’s exabyte-scale software enables the next wave of large-scale AI deployments. In addition to these, Supermicro’s SuperServer storage systems offer high capacity to help drive deep insights into learning massive data sets seamlessly and efficiently.”

Key capabilities offered by Cloudian and Supermicro’s collaboration include:

• Exabyte Scale: A modular architecture that supports massive scale with geo-distribution, non-disruptive growth, and secure multi-tenancy, ideal for graphics and data-intensive workloads.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

• Military-Grade Security: The most comprehensive set of security certifications in the industry, including data immutability for robust ransomware protection.
• Highest S3 API Compatibility: Fully-native S3 API ensures seamless operation with S3 applications and AI tools such as PyTorch, TensorFlow, Kafka, and Arrow.
• Bi-modal Data Access: Allows the interchange of file-based and object-based data to simplify data management.
• Rich Platform Portfolio: Storage server hardware options include Supermicro Petascale All-Flash storage servers for high-performance, Supermicro SuperServer 90 drive bay storage servers for high-capacity, in addition to other 1U, 2U and 4U high products in the Supermicro family.

Designed for enterprise-class deployment, the Cloudian platform provides a comprehensive software infrastructure for data-intensive computing. Cloudian’s data lake provides a consolidated repository to ingest, catalog, enrich, and preserve data through real-time analysis and deep learning.

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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AI-powered investigation combined with behavioral detection and response reduces false positives for time-strapped detection engineers

RAD Security takes the stage as a finalist in the Black Hat Startup Spotlight Competition, it unveils the first-ever AI-powered incident investigation capability for behavioral detection and response. Today, cloud security is based almost exclusively on signature-based detections, which are notorious for burdening security teams with false positives. RAD Security is the first to combine AI-powered incident investigation with behavioral, signature-less detections, to significantly reduce false positives and provide much-needed relief for overburdened security teams.

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“By definition, signatures are stateless, making investigations based on the signature-focused approach inaccurate and tedious,” says CTO and Co-Founder Jimmy Mesta. “By adding AI-powered investigations to behavioral detection, which is already a step ahead of signature-based detection in accuracy, security teams can quickly get light years ahead in the accurate assessment of incidents.”

RAD’s behavioral approach and AI-powered investigations result in the lowering of false positives on their own; but by putting these two capabilities together, RAD enables security teams to achieve a multiplier effect. The enhanced accuracy of behavioral methods versus signature-based methods is easily demonstrated using multiple examples of attack tactics like reverse shells, access to sensitive data, and a Sudo CVE. In these examples, while signatures can be easily bypassed by avoiding the exact parameters, they are detected by RAD’s behavioral solution. By the same token, a behavioral drift event is not always a malicious event, so the addition of the AI investigation capability ensures additional accuracy. AI is particularly suited for looking across large sets of data and quick contextualization, making it a natural investigation tool and engine to analyze benign versus malicious drift.

Throughout the history of cyber security, and most famously in the endpoint and network security markets, signatures have eventually been replaced by behavioral methods in response to an evolving threat landscape. Today, the cloud security category is nearly entirely composed of signature-based approaches with runtime security and Cloud Workload Protection (CWPP) that are standalone or part of a broader Cloud Native Application Protection Platform (CNAPP). In sharp contrast to signature-based CNAPPs, or posture-focused Cloud Security Posture Management (CSPM), RAD Security’s Cloud Detection and Response (CDR) solution creates behavioral baselines of unique good behavior to detect zero day attacks, enriching detections with real-time identity and infrastructure context that inform response actions.

More and more, detection and response is being accomplished by fewer and fewer dedicated people, with 22% of security professionals reporting recent layoffs at their company. The workforce reductions are an even more acute pain in cloud security, with 65% of cybersecurity and infosecurity professionals claiming burnout due to skill gaps. Even though a full 95% of IT decision makers feel their team has been negatively impacted by the cloud security skills gap, cloud native adoption continues, and analysts predict that, by 2025, 95% of new applications will be built using cloud native workloads.

Zero days like the XZ Backdoor are now a regular occurrence, making detection and response in cloud native environments more important than ever.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

RAD Security has introduced multiple new features to help security teams adopt new innovation that will help them address these alarming trends and emerging threats:
– Amazon EKS Add-on: RAD Security is now available as an Amazon EKS Add-on in the AWS Marketplace for Containers. This means customers can now provision the real-time KSPM and runtime features of the RAD platform directly from EKS, for real-time visibility into their Kubernetes risk as well as signatureless cloud detection and response.
– Automated AI-Powered Investigation: RAD Security uses LLMs to quickly analyze multiple behavioral detections and determine whether an incident is malicious or benign, including real-time infrastructure and identity context.
– Findings Center: All incidents are now available in an easy to navigate console, making detection and investigation easier and quicker.
– RAD Open Source Catalog: New version details and new open source images have now been added to the RAD Catalog, detailing the changes in behavioral fingerprints over time and bolstering the behavioral workload fingerprint standard.

Schedule a meeting with the RAD Security team at the Black Hat Conference this week to discuss improving detection accuracy for attacks in your cloud environments. The team will be exhibiting at booth #219 in Startup City, and at 4:45PM EST they will be presenting at the Innovators and Investors Summit as one of the four finalists in the Startup Spotlight competition.

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Innovative Software Transforms How Users Access Information from AI Systems Like ChatGPT and Grok while Providing Query Results and Data Resolution

Infinity Turbine is excited to announce the launch of its groundbreaking Smart Prompt Generator, Krot.ai, a pioneer in artificial intelligence solutions, a tool designed to revolutionize how users interact with AI systems such as ChatGPT, Grok, and more. This innovative software assists users in formulating precise and effective questions, ensuring they receive the most relevant and accurate information from AI systems.

Addressing the Challenge: Navigating Information Overload

In today’s data-driven world, leveraging AI effectively can be daunting due to the complexity of formulating the right questions. Many users face challenges in extracting relevant insights from AI systems, leading to underutilization of these powerful tools. Krot’s Smart Prompt Generator addresses this gap by guiding users in creating optimal prompts, making AI interactions more intuitive and productive.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Introducing the Smart Prompt Generator

Krot’s Smart Prompt Generator uses advanced natural language processing (NLP) and machine learning (ML) algorithms to interpret user intent and provide dynamic suggestions for refining queries. This ensures that AI systems can deliver more accurate and comprehensive answers, transforming the way users access information.

1. Guided Interactions

The Smart Prompt Generator enhances user interactions by continuously refining input queries. By generating follow-up questions based on the context and intent of the user’s initial query, it helps users navigate through complex information effortlessly.

2. Contextual Understanding

Understanding the nuances of user queries, the Smart Prompt Generator tailors its suggestions to be highly relevant, thereby improving the effectiveness of AI interactions.

3. User-Friendly Interface

With an intuitive and seamless interface, Krot’s Smart Prompt Generator makes advanced AI technologies accessible to a broader audience, regardless of their technical expertise.

Key Features of Krot’s Smart Prompt Generator

1. Dynamic Question Generation

The software generates follow-up questions and prompts, ensuring users access deeper insights and more detailed answers through an iterative refinement process.

2. Personalization

Learning from user interactions, the Smart Prompt Generator personalizes the experience based on previous queries and preferences, enhancing efficiency and relevance.

3. Educational Component

Beyond providing answers, the tool educates users on effective query formulation, empowering them to improve their research skills over time.

4. Seamless Integration

The Smart Prompt Generator integrates effortlessly with various AI platforms and databases, ensuring users benefit from refined prompts across different applications.

Benefits of Krot’s Smart Prompt Generator

1. Enhanced Efficiency

Streamlining question formulation, the tool enables users to access relevant information quickly, boosting productivity.

2. Increased Accessibility

Lowering the barrier to effective AI interactions, the Smart Prompt Generator makes advanced technologies accessible to a wider audience.

3. Improved Outcomes

By helping users craft precise and relevant queries, the tool enhances the quality of insights derived from AI systems.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Overcoming Challenges

1. Complexity of Natural Language Understanding

Krot’s advanced NLP capabilities ensure accurate interpretation and generation of relevant questions, continually improving the system’s performance.

2. User Adoption

Designed with user education and intuitive interfaces in mind, the Smart Prompt Generator encourages widespread adoption by making AI interactions more user-friendly.

3. Integration with Existing Systems

Krot.ai ensures seamless compatibility and integration with a wide range of AI platforms and data sources, offering robust support and ongoing development.

Save Results of Research and Development Queries

Krot can not only save the text, but also image results in its database. This feature was used by Infinity Turbine to help develop battery materials and compositions during development of Salgenx, the new grid-scale saltwater battery. By sending queries, then testing out results in real time, gave Salgenx the AI power of a team of scientists. Since AI has access to most of the scientific journals and studies, this can save huge amounts of time.

Using Proper Prompts Reduces Requests by Up to 50%, Alleviating Water Cooling Requirements for Energy-Intensive Chips and Systems

Recent research highlights that with every 20 to 50 AI queries, approximately half a liter (around 17 ounces) of fresh water is lost in the form of steam emissions. While this might not appear significant on an individual level, the cumulative impact of billions of AI queries worldwide presents a serious environmental concern. By refining the prompts used for AI queries, requests can be reduced by up to 50%. This reduction not only enhances the efficiency of data processing but also significantly decreases the water cooling requirements of the energy-intensive chips and systems that power these computations.

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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New Analytics Tools to Provide Real-Time Data and Insights for Artists, Collectors, and Investors

Colle AI, a leading platform at the forefront of AI-driven NFT technology, is excited to announce the launch of its comprehensive analytics tools designed to track and evaluate NFT performance. This new feature aims to provide artists, collectors, and investors with valuable insights into the digital art market, enabling them to make informed decisions and maximize their engagement with NFTs.

The newly introduced analytics tools by Colle AI offer a range of functionalities that allow users to monitor various metrics related to their NFTs. These tools enable performance tracking, market trends analysis, valuation metrics, and user engagement insights. By leveraging advanced AI and blockchain technology, these tools provide real-time data and actionable insights, making it easier for users to navigate the dynamic world of digital art and NFTs.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Users can monitor the sales, views, and interaction history of their NFTs to understand their popularity and market reception. The tools offer insights into emerging trends in the NFT market, helping users identify potential opportunities for investment and creation. Artists and collectors can access valuation estimates for NFTs, providing a clearer understanding of their assets’ worth. Detailed reports on how users are interacting with NFTs, including metrics on likes, shares, and comments, offer deeper insights into audience preferences.

The introduction of these analytics tools aligns with Colle AI’s commitment to empowering its community of artists and collectors by providing them with the necessary resources to succeed. By offering detailed and accessible data, Colle AI aims to enhance the overall user experience and foster a more transparent and efficient NFT marketplace.

Colle AI’s comprehensive analytics tools are designed to support the needs of both novice and experienced users. Whether an artist looking to understand the market better, a collector aiming to optimize their portfolio, or an investor seeking new opportunities, these tools provide the necessary insights to make data-driven decisions.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Colle AI is an innovative platform that combines artificial intelligence and blockchain technology to revolutionize the creation and trading of digital art. By enabling users to transform creative prompts into unique NFTs, Colle AI democratizes access to the digital art market and supports multiple blockchain networks, including Ethereum, BNB Chain, and Solana. The platform is designed to provide a seamless and efficient experience for both artists and collectors.

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Efficiencies.AI, an innovative AIaaS (AI as a Service) provider officially launches their EQ AIgent™️ product and EfficienciesGPT in OpenAI’s ChatGPT store

Efficiencies.AI, an innovative AI as a Service company, has officially launched their product and services offering. Founded by contact center/service desk industry entrepreneurs & AI thought leaders, Efficiencies.AI aims to help small and medium-sized enterprises (SMEs) quickly adapt to the future of work without the need for major investments or lengthy AI consulting engagements.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Product and Service Focus:

Efficiencies.AI provides cost-effective AI solutions via their out-of-box AI products as well as a variety of AI services using Google, Amazon, and Microsoft offerings, among others. Through a customizable AI as a Service subscription, companies can access AI automation experts who can be enabled to implement solutions via the customers cloud environment, or by using Efficiencies.AI pre-built tools, prompts and models that are available more quickly. For instance, Efficiencies.AI offers customizable EQ AIgents™ for tasks like sales, service, IT service desk, or appointment setting automation, which can be securely integrated without additional AI technology purchases. For companies not sure which use cases to begin with, their EfficienciesGPT for ChatGPT users is very busy providing end users access to their AI use case library of suggested AI starting points by business sector.

Addressing AI Hype and Adoption Barriers:

Recognizing the AI hesitation among companies between 100 to 10,000 employees, Efficiencies.AI offers end-to-end support to help executives identify and test AI opportunities intelligently. This approach aims to improve employee and customer experiences while achieving cost savings. Without the risks that many large enterprises are facing. “We’re very focused on making AI less artificial for all businesses & to level the AI playing field” said Josh Streets, founding investor & partner for Efficiencies.AI.

Strategic Vision and Market Potential:

Efficiencies.AI leverages the strengths of its founding partners and their global enterprise experience with AI, IT & CX. The company aims to democratize access to advanced AI capabilities, anticipating an AI as a Service market growth from $10B in 2023 to $289B by 2034. Anup Mehrotra, Senior Executive from Netsmartz, a US-based company and Strategic Partnership Advisor of Efficiencies.AI, highlighted the company’s ability to deploy AI strategies, resources, and tools rapidly, showcasing the potential of AI to I.T. business leaders & others.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

Client Engagement and Future Prospects:

The company has already demonstrated its EQ AIgent™ chat and voice products to potential clients in Healthcare & Finance settings, resulting in immediate inquiries about availability and pricing. Their emotionally intelligent, AI agents are custom trained using natural language understanding & empathic voice responses. Efficiencies.AI founders & leaders are not new to AI and more announcements on key talent acquisitions are forthcoming.

lso Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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Rhino.ai, a pioneer in AI-enabled solutions for application modernization and generation, today announced a minority equity investment from KPMG US, the audit, tax and advisory firm.

The minority equity investment follows the alliance that KPMG and rhino.ai formed in October 2023 aimed at helping companies move from outdated technology to modern, user-friendly platforms. The collaboration combines KPMG’s consulting expertise with AI-based solutions from rhino.ai, offering clients enhanced efficiency and new automation capabilities. Following the alliance last year, KPMG and rhino.ai are helping multiple companies modernize their legacy estates with a faster time to value and lower costs.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

“We are thrilled to continue our collaboration with KPMG,” said Adam Branch, founder and CEO of rhino.AI. “Since the inception of the alliance, we’ve witnessed significant value from initial implementations across clients. This is a testament to our shared vision that organizations driving outcomes through AI will lead the future of digital transformation. The rhino.AI platform is redefining application development, and KPMG services enhance impact.”

“By integrating Rhino.ai’s AI-driven solutions with KPMG’s expertise, we’re changing the calculus on technology modernization, fundamentally altering the speed, cost, and effectiveness of digital transformation,” said Todd Lohr, Head of Technology Consulting, KPMG US.

Rhino.ai facilitates the seamless migration of applications and workflows from traditional legacy systems and the scalable generation of new applications on modern Platform-as-a-Service (PaaS) environments such as ServiceNow, OutSystems, Unqork, Appian, PEGA, and MS PowerApps.
Rhino.ai continues to gain traction among large enterprises looking to shed outdated technology and enhance operational efficiency. The company remains focused on developing advanced solutions that address the dynamic, evolving needs of global businesses.

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

“We are thrilled to invest in rhino.ai, a pivotal tool for companies looking to move beyond outdated legacy applications. Rhino.ai provides a key enabler for KPMG’s forward-thinking and innovative solutions, designed to support clients through the complexities of digital transformation,” said Andrew Matuszak, Managing Director, KPMG Ventures.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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