Speakers : Jeff Sauro, Tim Bosenick, Lee Cooper
5 consejos para proteger a tu marca
contra las falsificaciones
REPORT
REPORT
In Red Points we specialise in Intellectual Property protection and defend brands online, using a combination of our experienced analysts and our proprietary technology. Our technology is the core of our protection solution, it employs machine learning algorithms that scan the internet and identify all IP infringements. We then validate and remove infringements, all the while reporting the details of each infringement in real time for our clients.
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In Red Points we specialise in Intellectual Property protection and defend brands online, using a combination of our experienced analysts and our proprietary technology. Our technology is the core of our protection solution, it employs machine learning algorithms that scan the internet and identify all IP infringements. We then validate and remove infringements, all the while reporting the details of each infringement in real time for our clients.
About Red Points
About the Speakers
What's inside
The main objective of this webinar organized by Red Points is to describe actionable tactics that businesses of all sizes, including small and medium ones, can use when scaling their brands from local markets to a worldwide audience.
The tips will be mainly drawn from Karen Post’s professional experience, who has been working for more than 30 year in Branding and Communications with organizations that range from start-ups to Fortune 500 companies such as ACNielsen, Pepsi and Procter & Gamble.
The webinar will also count with the participation of Toni Pérez, VP of Marketing and Product at Red Points, who will be talking about the most common risks in brand management from the Intellectual Property Rights perspective.
Here are some of the topics that will be covered:
DOWNLOAD REPORT
July 11th, 9:00 AM PST. 12 PM EST
BRAND PROTECTION SOLUTION CHECKLIST: MACHINE LEARNING
FEATURED SPEAKER
Maysa Razav, Head of Anti Counterfeit for INTA
Who's this report for?
Machine learning is an essential feature of any brand protection solution, as it allows search and validation programs to update their parameters quickly and automatically.
When used correctly, this feature allows protection services to continually update and evolve to increase efficiency and move towards an almost 100% automated service.
In this report, we go through the best practices to successfully implement machine learning into your brand protection strategy.
Read the full research here and get more insights for your business.
What your brand protection solution should cover and the key elements required to safeguard your business online
This research is aimed at businesses looking to have a deeper understanding about the the basic elements needed for a successful brand protection strategy. Whether you already work with a technological brand protection solution or are looking to implement one for your business, this document will provide you with the tools to keep up to date.
In this document we cover:
· Overview of the technology
· Features
· Machine learning and keywords
· Machine learning and image recognition
· Machine learning and abuse validation
In this document we cover:
· Overview of the technology
· Features
· Machine learning and keywords
· Machine learning and image recognition
· Machine learning and abuse validation