Campus LAN and Wireless LAN Design Guide

January 23, 2019 | 30 views

There is a tendency to discount the network as just simple plumbing, to think that all you have to consider is the size and the length of the pipes or the speeds and feeds of the links, and to dismiss the rest as unimportant. Just as the plumbing in a large stadium or high rise has to be designed for scale, purpose, redundancy, protection from tampering or denial of operation, and the capacity to handle peak loads, the network requires similar consideration.

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Synergy Interactive

Synergy Interactive is a Digital Recruiting Agency located in NYC & LA. At Synergy Interactive, we not only speak your language, we see it, we hear it and we understand it. And we are always evolving by seeking out "what's next"​ in terms of the latest trend or breakthrough in the digital world. We are The Digital Talent Experts and we specialize in the recruitment of today's most in-demand professionals across a few specialized areas including Creative, Digital, Mobile, Production, Technical and Client Services.

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FUTURE TECH

Natural Language Processing: An Advanced Implementation of AI

Article | June 8, 2022

Natural Language Processing, also known as computational linguistics or NLP, is a branch of Artificial Intelligence (AI), Machine Learning (ML), and linguistics. It is a subfield of AI that enables computers or machines to understand, manipulate, and interpret human language. Simply put, natural language is the natural method by which humans communicate with one another. We have now trained computers to interpret natural language. Communicating with computers has become simpler with voice queries such as "Alexa, what's the news today?" or "Ok Google, play my favorite songs." Similarly, when you ask Siri, Apple's voice assistant, "What is the cheapest flight to New York later today?" It instantly searches airline and travel websites for flights from the user's location to New York. It also compares the prices and lists the one with the lowest fare first. So, even without specifying a date or the "lowest fare", Siri understands the inquiry and returns accurate results. This is the result of NLP in action. Natural Language Processing: Business Applications Natural language processing has a variety of applications, some of them are listed below. Summarize text blocks to extract the most relevant and core concepts while excluding unnecessary information. Develop a chatbot that makes use of Point-of-Speech tagging to enhance customer support. Chatbots are AI systems that use NLP to engage with people through text or voice. Determine the type of extracted entity, such as a person, location, or organization. Sentiment Analysis can be used to recognize the sentiment or emotions of a text string, ranging from highly negative to neutral to very positive. HR teams can utilize NLP-based solutions to scan resumes based on keyword synonyms and swiftly shortlist candidates from a pile of resumes. Extracting Text data from the data storage allows in extracting specific information from text. Text can be broken down into tokens, or words can be reduced to their root or stem. Topic categorization helps users organize unstructured text. It's a great way for businesses to obtain insights from customer feedback. How Can Businesses Prepare for the NLP-Powered Future? NLP has evolved tremendously, and has benefited both companies and consumers. NLP technologies are assisting businesses to better understand how consumers perceive them through channels such as emails, product reviews, social media postings, surveys, and more. AI technologies can be used not just to analyze online interactions and how people speak about companies but also to automate tedious and time-consuming operations, enhance productivity, and free up staff to concentrate on more meaningful duties. When it comes to NLP the sky is the limit. As NLP technology is becoming more prevalent and greater advancements in ability are explored, the future will witness enormous shifts. Here are some of the ways in which businesses can prepare for the future of NLP. Analyze your company's text data assets and evaluate how the most recent techniques can be used to add value. Understand how you can use AI-powered language technology to make wiser decisions or rearrange your skilled labor. Start implementing new language-based AI tools for a range of jobs in order to better understand their potential. Prepare now to capitalize on transformative AI and to make sure that advanced AI contributes to society fairly. Closing Note Thanks to natural language processing technology, conversational commands and everything related to conversational AI in businesses have become faster and better. Natural language processing helps large businesses make flexible choices by revealing consumer moods and market movements. Smart companies now make decisions based not only on data but also on the intelligence derived from NLP-powered system data.

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FUTURE TECH

Augmented Reality: A Dynamic Change to Enhance Your Business

Article | May 5, 2022

Meta Description: Evaluating the impact of augmented reality in business ROI, while also understanding how CMOs leverage AR effectively in their marketing mix. While several technological advancements have been aiding in improving lifestyle, they have also been making drastic impacts on the business front. Over several years now, the world has seen various exposure to augmented reality. The usage of Augmented Reality for business has effectively transformed the technology from an entertainment concept to a crucial enterprise tool. According to Statista, 23 million jobs across the globe could be directly affected by AR and VR by 2030, and over 824,000 of those jobs are currently using these technologies in their workplace. Impact of Augmented Reality on Business In simple terms, Augmented Reality (AR) is a computer-generated enhancement that is placed over the existing reality we see with our human eyes. It offers the option to add dimension, sound and other experiences to any two-dimensional picture or video. Even when this might seem like something complex to be implemented in business, it isn't as challenging as it looks. With each passing year, AR has effectively been penetrating deeper into businesses, making a drastic impact on various functioning. Marketers have effectively been integrating the use of AR into their marketing strategies, and it has grown overall in the mainstream business functioning by being readily available for users to leverage. Industries That Should Leverage Augmented Reality Technology Uses of Augmented Reality is a prospect that business owners across multiple industries leverage to their advantage. While the core idea is to use the technology to aid and improve human performance, the industries that effectively utilize this resource are: Healthcare Education Travel and Tourism Manufacturing Defense Automotive Industry Retail How Seamless Integration of AR Can Impact Your ROI? Facebook said in March 2021 that it had allocated a complete 20% of its personnel to AR and VR development. That is a really massive investment by a corporation that has built a reputation for wisely investing in monetization and focused on creating bottom-line results. Augmented reality is on the path to becoming the next most significant development in an array of industries, ranging from medical to consumer retail. With the nature of augmented reality technology being highly dynamic, it is essential to have a successful strategy that ensures the integration of AR solutions that provide accurate and tangible results that align with the audience. Additionally, uses of augmented reality in business have also been capable of creating more meaningful engagement with customers. For the first time, new forms have made interaction real and measurable. As a result, brands may see precisely how many people engage with their collateral, how many times and where, for how long, and which direct actions they took: purchase, discount coupon, or social shares, for example, by leveraging IR/AR to turbo-charge paid media. "I do think that a significant portion of the population of developed countries, and eventually all countries, will have AR experiences every day, almost like eating three meals a day, it will become that much a part of you." Tim Cook, Chief Executive Officer of Apple Future of Your Business with AR Integration While augmented reality in business is becoming a crucial component for businesses these days and will revolutionize the future of business. According to Global Market Insights, the global market for AR goods will rise by 80% to £165 billion by 2024. The rise of the AR industry is closely tied to increased attention and investments from leading technology firms such as Facebook. Overall, the augmented reality technology market will develop at the fastest rate by 2023, primarily to the growing usage of smartphones, tablets, and other devices in consumer, commercial, and business settings to adopt AR technology. Furthermore, with the rising need for augmented reality in healthcare and retail, there are a plethora of new prospects and rising demand for augmented reality in architecture and the corporate sector. How Are CMOs Leveraging AR for Their Marketing Mix? Several top executives and leading CMOs are leveraging the benefits of augmented reality to expand the engagement, awareness and value around their services and products. In addition, numerous organizations from different industries and of various sizes in the B2C and B2B space are now using augmented reality technology to differentiate their product and services by effectively implementing AR strategies in their marketing mix. With a game-changing armor in their arsenal in the form of augmented reality, marketing executives trying to promote and sell more successfully can hence perform better, with purchasing experience becoming the new focal point. Conclusion Augmented reality in business is a prospect that offers a massive opportunity to engage with millions of users effectively. AR offers executives to ideally establish an immediate and sensory-driven connection of the brand with consumers by forging an emotional interaction. Repetitive engagement is a successful advertising approach for companies since it only requires AR app development expenditures, and additional benefits may be gained via repeated exposure. In the ever-dynamic state of our current existence, leveraging the benefits of augmented reality can come handy in elevating your business to the next level. FAQs How Can Customers and Businesses Benefit from AR? AR effectively increases engagement and interaction and helps provide a richer user experience. Several research has shown that AR increases the value of products and brands. Implementing AR activities is ideal and conveys innovation and responsiveness from forward-thinking brands. How Does AR Help Organizations Gain a Competitive Advantage? Augmented reality allows the organization to create a unique customer experience while also eliminating cognitive overload. It also ensures that user engagement heightens along with competitive differentiation. AR, after all, is a technology that enables a pure blending of physical and digital reality. How Will the Use of AR Technology Impact the Future of Business Functioning? Augmented reality is constantly evolving to become an emerging marketing and sales strategy trend. AR technologies allow organizations to provide their customers a unique experience with convenience by tapping into their smartphone devices.

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SOFTWARE

How Does IT Vendor Selection and Management Work?

Article | April 21, 2022

What Is the Importance of IT Vendor Selection and Management? Ideally, the IT vendor management process is an umbrella term for all the processes and systems organizations use to manage their IT suppliers. This is where an organization works with vendors to optimize its supplies and services. There could be several vendors an organization is associated with for unique services and offers. With proper vendor management, an organization can take appropriate measures to control costs, reduce potential risks, and ensure excellent service delivery. But the catch here is that it isn't as easy as it sounds. This includes researching the best available vendor, sourcing and obtaining pricing information, gauging the quality of work, managing relationships, and evaluating performance by setting organizational standards. Most Common Challenges in Vendor Management Even though there are many benefits, organizations face certain challenges during IT vendor selection and their management. Some of these most common challenges are mentioned below: High administrative costs Incomplete documentation Non-compliance Poor vendor relationships Security breaches Supply chain inefficiencies While there were some nuanced changes in the selections between various businesses, both large and small, the results indicate that organizations often face the same challenges no matter where they’re coming from. How Do IT Vendor Selection and Management Help an Organization? In contemporary times, with geographical and economic barriers constantly diminishing, organizations look for different types of vendors worldwide. Even if the organization is working with just one vendor, it is essential to have effective vendor management in place. With proper vendor management, an organization can experience the following benefits: Better Selection With the right vendor, your organization can benefit from a more extensive selection of vendors, resulting in more choices and better costs. Better Contract Management If there is multi-vendor management in place, your organization can benefit from a centralized view of the current status of all contracts and other useful information. This will enable your organization to achieve better decision-making capabilities. Better Performance Management Using a vendor management system, an organization can get an integrated view of the performance of all the vendors. This would give your organization a clear understanding of what is working and what is not. Better Vendor Relationship Managing multiple vendors at the same time can be a difficult task. By accumulating all vendor-related information in a single place, organizations benefit from getting all required information at once, and this can influence your decision-making process. Exploring the Ideal Process of IT Vendor Selection In a world where we are constantly progressing with increasing IT specialization, organizations must be able to rely on their partners. There are some specific steps that an organization can take up to make the whole IT vendor selection process more successful. The six-step process of ideal IT vendor selection: Kick-off and requirement definition Market research and first vendor filtering Request for proposal Evaluating responses Proof of concept Choosing the vendor There are also some common mistakes that organizations make while selecting their vendor. Some of these common errors are listed below: Not evaluating the vendor and only their offerings Communication indiscretion Not comparing vendors or similar stature Today, outsourcing is increasingly used by companies as an enabler for innovation. Technological advancements drive improvements in service delivery, which positively impact cost, enhance functionality, improve service quality, and reduce the importance of location on service delivery. Disruptive technologies like cloud computing enable solutions such as Salesforce.com or ServiceNow to accelerate speed to value and drive business growth. This leads to a change from the traditional IT organization to the next generation IT organization. The operating model needs more agility to respond faster and at different speeds to new service offerings. Outsourcing models have reached their third generation and involve a multi-vendor environment, requiring more transparency and integrated vendor management. Best Techniques to Improve Vendor Management The vendor management process is a crucial component for any organization, as it allows them to build a relationship with their suppliers and service providers that would help strengthen their business. Vendor management is not only about negotiating the price; the most essential aspect is coming to a conclusion that would mutually aid both organizations. Some effective techniques that can be utilized for effective IT vendor management are: Share information and priorities Balance commitment and competition Allow critical vendors to help you strategize Build partnerships that would last long term Try to understand your vendor's business process Negotiate and conclude with a win-win agreement Come together on value Conclusion Ideally speaking, vendor selection and managing that relationship can sometimes be challenging. Once you follow the process mentioned above to select the right vendor for your organization, the steps ahead will get a little easier. However, there is still the process of managing and building that relationship with the vendor. "The objective of vendor management is to fortify company success and overall marketplace performance." - Sean-Michael Callahan, Principal at The NiVACK Group. FAQ What Is Vendor Management in the IT Sector? The process that allows organizations to control costs, strengthen service, and reduce risks throughout the process of outsourcing to vendors while getting the most value from the investment is called vendor management in the IT sector. What Is a Vendor Selection Process? The vendor selection process is a subsidiary stage that allows for the clear stating, defining, and approval of those vendors who are eligible to meet the requirements of the procurement process. What Is the Role of Vendor Management? The vendor management process ideally facilitates and maintains relationships between your organization and vendors, negotiating contracts, creating standards for the vendors, and finding the best available vendors.

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SOFTWARE

How SAAS Is Redefining Software Industry

Article | April 21, 2022

Software-as-a-Service (SAAS) has been a trending topic in the tech field in recent times. The success of the cloud has accelerated the demand for software delivery from on-premises to cloud-based. Start-ups are in a rush for SAAS transformation, delivering the very same solution over the internet. From Google Docs and Sheets to enterprise-level software, SAAS has established a foothold in every sector. With the oncoming of SAAS, the perception of computer software has changed. In this article, we will take a look at how SAAS is redefining and transforming the software industry. Better Accessibility Any software that is preferred to have better and centralized availability is preferred. Better availability is one of the factors that makes SAAS stand out. With centralized availability of both applications and data, users will have a hassle-free experience – with zero installation overheads and no commitments to carry in any device and data. SAAS is accessible from anywhere around the world on any device. There is a big advantage to SAAS over traditional software, which can only be used on a specific device. Ease of Upgrade To ensure continued security and access to new features, software releases are followed by updates and upgrades, which, once issued, become the sole responsibility of the user to install. A hassle-free upgrade makes SAAS the solution to be chosen. All updates and upgrades are performed on the server side, ensuring no downtime and minimal installation troubles. Moreover, most users do not take the updates and upgrades into account due to their delay in installation and trouble setting up. In this aspect, SAAS enables providers to better serve their users by ensuring they are using the latest releases and fixes. Zero Hardware Upgrades As time moves on, software demands higher resources for it to work smoothly. Zero hardware upgrades will bring a new and better user experience. All the hardware configurations will be managed at the cloud level, with no changes required on the client-side. A large increase in resources might have an influence on the subscription cost, but it is a better alternative to requesting end-users larger hardware. This will be a beneficial aspect for resource-heavy applications like graphics and design-related applications. Thus, a major part of configuration at the hardware and software levels (drivers) is abstracted from the users. Better Security and Protection from Piracy Traditional on-premise software is always vulnerable to cracking and piracy. With SAAS tools and software, there will be no piracy, and increasing security can be feasible. SAAS works on a subscription model where the purchase of the software is tied to a user account, and a fee is paid monthly or yearly to use the software. On-premise software is subject to reverse engineering, where the activation system is tampered with, and the software can be used for free. Similarly, data has better security in the cloud with continuous encryption and backup than on an on-premise system, wherein the data security and backup require user effort as well. Zero Compatibility Issues Software programs are subject to compatibility requirements where the OS or certain dependencies might not support a specific piece of software. With SAAS, there are no more compatibility-related conflicts since the OS and other dependencies and resources are managed by the provider itself. End-users need not comply with any compatibility requirements for the software to work. This aspect also provides users an advantage in terms of storage. The application and its dependencies usually take up a large amount of space. SAAS takes care of dependencies on the server end. Better Team Collaboration SAAS is an option that proves better for collaboration-based teams. Software delivery over the network comes with an account linked to it for sign-in and collaboration. Teams that work together can get better benefits when using SAAS tools since they enable sharing and collaboration on work items. Traditional software has limited or no collaboration capabilities, thus limiting productivity. SaaS can also keep data in sync on a number of devices, giving users a real-time experience.

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Spotlight

Synergy Interactive

Synergy Interactive is a Digital Recruiting Agency located in NYC & LA. At Synergy Interactive, we not only speak your language, we see it, we hear it and we understand it. And we are always evolving by seeking out "what's next"​ in terms of the latest trend or breakthrough in the digital world. We are The Digital Talent Experts and we specialize in the recruitment of today's most in-demand professionals across a few specialized areas including Creative, Digital, Mobile, Production, Technical and Client Services.

Related News

SOFTWARE

Expert.ai Enhances Qlik with More Powerful Natural Language Capabilities

Expert.ai | June 08, 2022

Expert.ai, a leader in artificial intelligence (AI) for language comprehension, announced today that it has joined the Qlik Technology Partner Program. Expert.ai enhances Qlik's existing AI and natural language processing (NLP) capabilities to enable business users make sense of unstructured language data and obtain insight into any type of document. "Language data can provide new insights that enhance analytics and decision making but it is usually ignored. The problem is that understanding language at scale and converting it into actionable intelligence is hard. By integrating our natural language capabilities into Qlik, we simplify access to language data, providing the data practice with simple and powerful ways to develop more comprehensive analytic and predictive models to help the enterprise to gain a competitive edge." Luca Scagliarini, Chief Product Officer at expert.ai By leveraging language intelligence supplied by expert.ai and executing Python code directly within Qlik Cloud, Qlik users can simply expand and improve the reach of data analysis and analytics. Advanced natural language processing features provided by the expert.ai API include disambiguation to resolve ambiguities in the text, quickly identify the main entities and relationships between concepts, and assign the correct meaning to each word; categorization to catalog any document out of the box without training thanks to embedded taxonomies, including IPTC media topics and geographic taxonomy; sentiment analysis to determine whether the overall sentiment is positive or negative; and sentiment analysis to determine whether the prevailing emotion is positive or negative. "Once we began exploring use cases of integrating our technology into Qlik Cloud, we were blown away by how easy it was to get major additional value using our NLP capabilities to structure and analyze unstructured data," said Brian Munz, Product Manager, NL API & Developer Experience at expert.ai. "With a very minimal effort, you can easily enrich data with expert.ai's NLP insights such as sentiment analysis, media topics categorization, PII detection and more. It's exciting to see the amazing things that can happen by combining two world-class products in analytics and natural language understanding." Organizations may simply integrate unstructured language information into data sets, data pipelines, and analytics for even the most complicated use cases across sectors. For example, email management and other customer-related information to process and analyze all data at once; smart search and conversational analytics based on natural language to streamline data interaction and user intent; and data classification to easily find the right data while knowing its origin and journey. Capabilities include vertical industry applications such as augmented analytics to improve decision making and sophisticated fraud indication analysis in insurance, credit and market risk analytics, compliance, and augmented customer experience in banking and finance. "As organizations scale their analytics efforts through the cloud, AI and NLP capabilities are incredibly powerful in helping new and existing users at all skill levels drive more insights for action," said Josh Good, VP, Analytics at Qlik. "We look forward to current Qlik customers benefiting from blending expert.ai with our existing augmented capabilities to enhance their overall analytics efforts."

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AI APPLICATIONS

NVIDIA Metropolis Partner Program joins Landing AI to help change industrial inspection with AI

Landing AI | May 06, 2022

Landing AI, a pioneer software provider that makes building and deploying AI solutions in manufacturing fast and easy, announced it has joined hands with NVIDIA Metropolis, in a program designed to nurture and bring to market a new generation of applications and solutions that make the world's most essential spaces and operations safer and more efficient with advancements in AI vision. With its ground-breaking data-centric approach, Landing AI brings in the next era of AI by delivering the benefits of AI to manufacturers who lack the large datasets required for traditional AI. Its LandingLens program facilitates the development of industrial automated inspection systems employing deep learning AI technology. Many LandingLens clients use the NVIDIA Jetson edge AI platform to deploy at the edge. Joining the Metropolis program ensures a seamless experience for customers, speeding AI performance and edge deployments in manufacturing and industrial applications to improve quality control and more. "Having successfully deployed the NVIDIA Jetson platform at customer sites, we are thrilled to be part of NVIDIA Metropolis. As LandingLens becomes the choice for manufacturers looking to optimize efficiency, we look forward to working closely with NVIDIA and our system integration partners." Carl Lewis, Senior Director of Customer Success & Strategic Partnerships at Landing AI NVIDIA Metropolis is an application framework that facilitates leveraging world-class AI-enabled solutions to improve important operational efficiency and safety challenges easier and more cost-effective for corporations, governments and integration partners. The NVIDIA Metropolis ecosystem includes a large and growing number of partners who are investing in cutting-edge AI techniques and deployments platforms, as well as taking an enterprise-class approach to their solutions. Partners can get early access to NVIDIA platform updates, which will help them improve and accelerate their AI application development efforts. In addition, the initiative provides partners with the opportunity to work with industry experts and other AI-driven enterprises.

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AI TECH

New Release of the expert.ai Platform Accelerates AI-based Natural Language Solutions Adoption and Time to Value

Expert.ai | April 27, 2022

Expert.ai today announced the new release of its purpose-built platform combining symbolic, human-like comprehension and machine learning to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. By extending core features and adding unique capabilities, such as out of the box knowledge models and connectors, the new platform release increases flexibility, simplifies integration and optimizes data pipelines to augment efficiency across every process that involves natural language (NL). According to Gartner®, "enterprises sit on unexploited unstructured data, with opportunities to extract differentiating insights. Data and analytics technical professionals must uncover such insights by applying natural language technology solutions solutions: intelligent document processing, conversational AI and insight engines." [1] While data has always been integral to businesses, the proliferation of language within the enterprise and the rise of digital transformation have created a new sense of urgency to increase the adoption of artificial intelligence (AI) technologies for natural language to get the most out of all data available to an organization. This has led to the increasing adoption of AI solutions for natural language to get the most value from all data available to an organization. To scale quickly and make AI investments successful, organizations need the tools and capabilities to deliver impactful results, faster. Expert.ai has been pioneering efforts in composite, or hybrid, AI with proven-market expertise and best practices honed from hundreds of successful, real-world implementations across industries, including insurance, financial services and banking, publishing and media, defense and intelligence. Specifically designed for natural language AI, the expert.ai Platform leverages the combination of different AI techniques (machine learning and rule-based symbolic comprehension) with a simple and powerful authoring environment to effectively support the full natural language processing workflow. It is based on the principle that no single natural language AI technique is a fit for every project. According to Gartner®, "The days of singular AI techniques are coming to an end. Software and service providers that cannot provide solutions combining multiple AI techniques (such as machine learning, rule-based systems, optimization techniques, knowledge graphs, natural language technologies) will quickly find themselves at a disadvantage compared with those that can. The introduction of composite AI techniques, even within existing products, will have a profound impact on their capabilities." [2] Features and benefits delivered by the new release of the hybrid AI expert.ai Platform include: 'Smarter from the start' knowledge models deliver NL applications to production faster with higher levels of business accuracy: new Platform release includes access to customizable pre-built rules-based NLP Knowledge Models used to classify text and extract entities, insights and relationships specific to a domain or use case. Knowledge models made available by the new platform release include: finance (commodities, currencies, macro-economics); ESG (environmental social and governance); life sciences; behavioral and emotional traits; PII (personally identifiable information, with redaction or pseudonymization). Simplified deployment processes across multiple environments, including Azure: new release enables users to select MS Azure as a preferred deployment environment. Easier integration, out of the box connectors: unlock more insights through hundreds of connectors via the Boomi Integration Platform and Qlik Connectors that provide quick, easy and secure access language assets in third-party systems and applications. Enhanced natural language operations: provides the ability to include custom Python and Java scripts or third-party services for pre- or post-processing activities in NL workflow orchestrations. "Turning data into a strategic asset is critical to consolidating value creation and remaining competitive. The new release of the expert.ai Platform extends core purpose-built capabilities and introduces innovation to continue providing tangible business outcomes, enabling organizations to easily leverage their language data and accelerate AI deployments and time to value." Luca Scagliarini, chief product officer at expert.ai About expert.ai Expert.ai is a leading company in AI-based natural language software. Organizations in insurance, banking and finance, publishing, media and defense all rely on expert.ai to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. Expert.ai's purpose-built natural language platform pairs simple and powerful tools with a proven hybrid AI approach that combines symbolic and machine learning to solve real-world problems and enhance business operations at speed and scale. With offices in Europe and North America, expert.ai serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO.

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SOFTWARE

Expert.ai Enhances Qlik with More Powerful Natural Language Capabilities

Expert.ai | June 08, 2022

Expert.ai, a leader in artificial intelligence (AI) for language comprehension, announced today that it has joined the Qlik Technology Partner Program. Expert.ai enhances Qlik's existing AI and natural language processing (NLP) capabilities to enable business users make sense of unstructured language data and obtain insight into any type of document. "Language data can provide new insights that enhance analytics and decision making but it is usually ignored. The problem is that understanding language at scale and converting it into actionable intelligence is hard. By integrating our natural language capabilities into Qlik, we simplify access to language data, providing the data practice with simple and powerful ways to develop more comprehensive analytic and predictive models to help the enterprise to gain a competitive edge." Luca Scagliarini, Chief Product Officer at expert.ai By leveraging language intelligence supplied by expert.ai and executing Python code directly within Qlik Cloud, Qlik users can simply expand and improve the reach of data analysis and analytics. Advanced natural language processing features provided by the expert.ai API include disambiguation to resolve ambiguities in the text, quickly identify the main entities and relationships between concepts, and assign the correct meaning to each word; categorization to catalog any document out of the box without training thanks to embedded taxonomies, including IPTC media topics and geographic taxonomy; sentiment analysis to determine whether the overall sentiment is positive or negative; and sentiment analysis to determine whether the prevailing emotion is positive or negative. "Once we began exploring use cases of integrating our technology into Qlik Cloud, we were blown away by how easy it was to get major additional value using our NLP capabilities to structure and analyze unstructured data," said Brian Munz, Product Manager, NL API & Developer Experience at expert.ai. "With a very minimal effort, you can easily enrich data with expert.ai's NLP insights such as sentiment analysis, media topics categorization, PII detection and more. It's exciting to see the amazing things that can happen by combining two world-class products in analytics and natural language understanding." Organizations may simply integrate unstructured language information into data sets, data pipelines, and analytics for even the most complicated use cases across sectors. For example, email management and other customer-related information to process and analyze all data at once; smart search and conversational analytics based on natural language to streamline data interaction and user intent; and data classification to easily find the right data while knowing its origin and journey. Capabilities include vertical industry applications such as augmented analytics to improve decision making and sophisticated fraud indication analysis in insurance, credit and market risk analytics, compliance, and augmented customer experience in banking and finance. "As organizations scale their analytics efforts through the cloud, AI and NLP capabilities are incredibly powerful in helping new and existing users at all skill levels drive more insights for action," said Josh Good, VP, Analytics at Qlik. "We look forward to current Qlik customers benefiting from blending expert.ai with our existing augmented capabilities to enhance their overall analytics efforts."

Read More

AI APPLICATIONS

NVIDIA Metropolis Partner Program joins Landing AI to help change industrial inspection with AI

Landing AI | May 06, 2022

Landing AI, a pioneer software provider that makes building and deploying AI solutions in manufacturing fast and easy, announced it has joined hands with NVIDIA Metropolis, in a program designed to nurture and bring to market a new generation of applications and solutions that make the world's most essential spaces and operations safer and more efficient with advancements in AI vision. With its ground-breaking data-centric approach, Landing AI brings in the next era of AI by delivering the benefits of AI to manufacturers who lack the large datasets required for traditional AI. Its LandingLens program facilitates the development of industrial automated inspection systems employing deep learning AI technology. Many LandingLens clients use the NVIDIA Jetson edge AI platform to deploy at the edge. Joining the Metropolis program ensures a seamless experience for customers, speeding AI performance and edge deployments in manufacturing and industrial applications to improve quality control and more. "Having successfully deployed the NVIDIA Jetson platform at customer sites, we are thrilled to be part of NVIDIA Metropolis. As LandingLens becomes the choice for manufacturers looking to optimize efficiency, we look forward to working closely with NVIDIA and our system integration partners." Carl Lewis, Senior Director of Customer Success & Strategic Partnerships at Landing AI NVIDIA Metropolis is an application framework that facilitates leveraging world-class AI-enabled solutions to improve important operational efficiency and safety challenges easier and more cost-effective for corporations, governments and integration partners. The NVIDIA Metropolis ecosystem includes a large and growing number of partners who are investing in cutting-edge AI techniques and deployments platforms, as well as taking an enterprise-class approach to their solutions. Partners can get early access to NVIDIA platform updates, which will help them improve and accelerate their AI application development efforts. In addition, the initiative provides partners with the opportunity to work with industry experts and other AI-driven enterprises.

Read More

AI TECH

New Release of the expert.ai Platform Accelerates AI-based Natural Language Solutions Adoption and Time to Value

Expert.ai | April 27, 2022

Expert.ai today announced the new release of its purpose-built platform combining symbolic, human-like comprehension and machine learning to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. By extending core features and adding unique capabilities, such as out of the box knowledge models and connectors, the new platform release increases flexibility, simplifies integration and optimizes data pipelines to augment efficiency across every process that involves natural language (NL). According to Gartner®, "enterprises sit on unexploited unstructured data, with opportunities to extract differentiating insights. Data and analytics technical professionals must uncover such insights by applying natural language technology solutions solutions: intelligent document processing, conversational AI and insight engines." [1] While data has always been integral to businesses, the proliferation of language within the enterprise and the rise of digital transformation have created a new sense of urgency to increase the adoption of artificial intelligence (AI) technologies for natural language to get the most out of all data available to an organization. This has led to the increasing adoption of AI solutions for natural language to get the most value from all data available to an organization. To scale quickly and make AI investments successful, organizations need the tools and capabilities to deliver impactful results, faster. Expert.ai has been pioneering efforts in composite, or hybrid, AI with proven-market expertise and best practices honed from hundreds of successful, real-world implementations across industries, including insurance, financial services and banking, publishing and media, defense and intelligence. Specifically designed for natural language AI, the expert.ai Platform leverages the combination of different AI techniques (machine learning and rule-based symbolic comprehension) with a simple and powerful authoring environment to effectively support the full natural language processing workflow. It is based on the principle that no single natural language AI technique is a fit for every project. According to Gartner®, "The days of singular AI techniques are coming to an end. Software and service providers that cannot provide solutions combining multiple AI techniques (such as machine learning, rule-based systems, optimization techniques, knowledge graphs, natural language technologies) will quickly find themselves at a disadvantage compared with those that can. The introduction of composite AI techniques, even within existing products, will have a profound impact on their capabilities." [2] Features and benefits delivered by the new release of the hybrid AI expert.ai Platform include: 'Smarter from the start' knowledge models deliver NL applications to production faster with higher levels of business accuracy: new Platform release includes access to customizable pre-built rules-based NLP Knowledge Models used to classify text and extract entities, insights and relationships specific to a domain or use case. Knowledge models made available by the new platform release include: finance (commodities, currencies, macro-economics); ESG (environmental social and governance); life sciences; behavioral and emotional traits; PII (personally identifiable information, with redaction or pseudonymization). Simplified deployment processes across multiple environments, including Azure: new release enables users to select MS Azure as a preferred deployment environment. Easier integration, out of the box connectors: unlock more insights through hundreds of connectors via the Boomi Integration Platform and Qlik Connectors that provide quick, easy and secure access language assets in third-party systems and applications. Enhanced natural language operations: provides the ability to include custom Python and Java scripts or third-party services for pre- or post-processing activities in NL workflow orchestrations. "Turning data into a strategic asset is critical to consolidating value creation and remaining competitive. The new release of the expert.ai Platform extends core purpose-built capabilities and introduces innovation to continue providing tangible business outcomes, enabling organizations to easily leverage their language data and accelerate AI deployments and time to value." Luca Scagliarini, chief product officer at expert.ai About expert.ai Expert.ai is a leading company in AI-based natural language software. Organizations in insurance, banking and finance, publishing, media and defense all rely on expert.ai to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. Expert.ai's purpose-built natural language platform pairs simple and powerful tools with a proven hybrid AI approach that combines symbolic and machine learning to solve real-world problems and enhance business operations at speed and scale. With offices in Europe and North America, expert.ai serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO.

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