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Using self-learning software, we match attendee profiles against every event participant, saving them time and effort. Shift the paradigm of networking with our intuitive app combined with a powerful web interface. Replace business cards with a comprehensive engagement and networking solution. Manage B2B events of every size reliably, using flexible permissions by attendee type, intuitive scheduling, and advanced filter and search. We use 20 million data points to match you with the most relevant and valuable people. Transform your event into a networking success for every attendee. Please enable JavaScript in your browser to complete this form. Request Demo. Networking is an art.

Business Matchmaking Platform Alternatives

Info and Support. Make your business matchmaking work. We may live in a hyper-connected word, but research has shown that successful connections still depend on face-to-face meetings. That is why business matchmaking events are more popular than ever before. Business matchmaking has traditionally been done by large organizations and event teams with big budgets.

The South Tyrol Free Software Conference, SFScon, is one of Europe’s most established SFScon promotes the use of Free Software in IT infrastructures as a tool to During Matchmaking events participants meet and greet at high speed​.

CompuDate is a new company that offers Denver area singles computer-based matchmaking services. The Market CompuDate will target two distinct market segments, year olds, and year olds. CompuDate is compiling extensive market research to provide it with accurate information regarding its target market. If CompuDate does not pick the right people, the business will not progress.

CompuDate will be run with a long-term vision. Management CompuDate will be lead by a seasoned manager, Suzie Butterfly. This position provided Suzie with invaluable skills for managing a variety of different projects. After three years Suzie moved over to the Yahoo! Personals division where she got direct experience for the matchmaking industry which gave Suzie the insight and confidence in developing her own company to compete within this industry.

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Our B2B matchmaking platform will help you plan high-quality networking events with just a few clicks. Our B2B matchmaking software will help your attendees overcome the interaction Check it out and GET STARTED for a free demo.

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SFScon promotes the use of Free Software in digital infrastructures as a tool to achieve greater innovation and competitiveness in the region. Here decision-makers and developers meet, learn and get inspired. Inventors and creative people: developers, designers, data experts, entrepreneurs and enthusiasts. We welcome different ideas, backgrounds and competences. We always have in mind Open Data and Open Source projects, as we want to promote an open and innovative culture. During Matchmaking events participants meet and greet at high speed.

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Mix of established and proprietary matching algorithms with a high level of matching accuracy. Designed for both business and IT users, DataMatch allows you to match and cleanse data visually. Data matching, also known as record linkage, is a data management process that allows you to accurately identify, match, merge and duplicate records across disparate data sources for the availability of complete and up-to-date across the enterprise.

Duplicate records of the same entity may be scattered across your data repositories and applications, but if they have spelling mistakes, multicultural variations in names, nicknames or aliases, extra words, etc. Our industry-leading data matching software helps you find matching records, merge data, and remove duplicates using intelligent fuzzy matching and machine learning algorithms, regardless of where your data lives and in which format.

Your marketing and sales efforts are more effective and efficient with accurate and complete customer data. Avoid embarrassing situations when you are dealing with customers by eliminating duplicates. Intuitively match and enrich data in all popular formats and sources — no technical background required. Avoid data quality issues before bad data even makes it into your system with our real-time API features. Reduce postage and mailing costs by eliminating duplicates from your database using best-in-class data matching software.

Compare your product catalog to the competition, quickly determining gaps and opportunities. Accurately match patient records against health information exchanges to enrich data across jurisdictions. Resolve entity relationships and prepare your Big Data for predictive analytics with state-of-the-art matching.

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Compare Business Matchmaking Platform alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Business Matchmaking Platform in Compare features, ratings, user reviews, pricing, and more from Business Matchmaking Platform competitors and alternatives in order to make an informed decision for your business. Founded in , InEvent is a software organization based in the United States that offers a piece of software called InEvent.

InEvent features training via documentation, webinars, live online, and in person sessions.

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Easily prepare your K students for future success with an engaging program that builds self-knowledge, personalized plans, and critical life skills. As you move towards remote learning initiatives, we’re here to help. Check out our free remote learning guide to help your students stay on the path towards future-readiness. They build personalized plans for the future, and the skills and knowledge to persist.

This service is entirely free for you (the service buyer). The service providers pay a monthly fee and a bid fee to have access to projects like yours. How can I be.

Service matchmaking among heterogeneous software agents in the Internet is usually done dynamically and must be efficient. There is an obvious trade-off between the quality and efficiency of matchmaking on the Internet. We define a language called Larks for agent advertisements and requests, and present a flexible and efficient matchmaking process that uses Larks. The Larks matchmaking process performs both syntactic and semantic matching, and in addition allows the specification of concepts local ontologies via ITL, a concept language.

The matching process uses five different filters: context matching, profile comparison, similarity matching, signature matching and constraint matching. Different degrees of partial matching can result from utilizing different combinations of these filters. We briefly report on our implementation of Larks and the matchmaking process in Java. Fielded applications of matchmaking using Larks in several application domains for systems of information agents are ongoing efforts.

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