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The Lufthansa Innovation Hub is using Feedly to define the future of strategic intelligence

Por Annie Bacher
Case Study
Find out how Lufthansa Innovation Hub defines and interprets new macro-trends in travel and mobility tech

The short version

The customer: Tino Klaehne, Director of Strategic Innovation and Intelligence, Lufthansa Innovation Hub. Lufthansa Innovation Hub is “reinventing the travel of tomorrow.” Tino and his team are on a mission to lead the way for how strategic intelligence is done in the travel industry.

The challenge: No process for strategic intelligence. Gathering research used to involve sporadically visiting Google and searching by keywords. LIH needed a systematized way to gather, analyze, and prioritize intelligence in one place. 

The solution: Spotting trends faster with a Feedly AI. LIH integrated Feedly AI into their tech stack to track macro trends and define trends inside the category of Travel and mobility tech. They use Feedly’s AI Models to build their own intelligence engine based on their own definitions and categories at the forefront of travel innovation.

The results: An industry-leading process 

  • An industry-leading process that is 3-5X faster than traditional strategic intelligence gathering
  • Regularly-publishes trend reports in the TNMT newsletter with 10,000+ subscribers
  • 5+ former employees have introduced Feedly to their new companies

Start building your strategic intelligence process. Try Feedly for Market Intelligence to track emerging trends, monitor competitors, identify business opportunities, and share insights with your organization.

Spotting trends almost before they happen

Lufthansa Innovation Hub has used Feedly to become thought leaders in their industry. With the help of Feedly AI, they have defined a new research category at the intersection of travel and mobility technology, spotting trends and shifts in the industry almost before they happen. Read more about how they did it in this case study:

THE CUSTOMER
Lufthansa Innovation Hub: “reinventing the travel of tomorrow”

With only 40 team members in a company of more than 100,000 people worldwide, the Lufthansa Innovation Hub (LIH) is a small part of the larger Lufthansa Group — but they’ve never let that stop them from having a big impact on reinventing the future of travel. Tino Klaehne, LIH’s Director of Strategic Innovation and Intelligence, explains, “We have a thought leadership strategy. We have our own newsletter and our own platform, TNMT. Our branding is neon green. We make noise.” 

The TNMT newsletter reaches over 10,000 internal and external subscribers, and the entire innovation team is dedicated to setting the standard for cutting-edge, data-driven strategic research.

Our mantra is unconventional data perspectives. Our analysts use all sorts of different data perspectives to track information from thousands of sources. We don’t produce generic desk research–we create high-quality content with a data-driven perspective.”

Tino Klaehne, Director of Strategic Innovation and Intelligence, Lufthansa Innovation Hub

THE CHALLENGE
Building a systematic approach to strategic intelligence

When Tino Klaehne first started working at the Lufthansa Innovation Hub (LIH) in 2017, things looked very different than they do today. The team was still in the early stages of developing their research processes, and their approach was ineffective and time-consuming. 

There was no easy way to store or collect interesting findings in a central location. They needed to develop a more systemic approach to strategic intelligence gathering, so they could scan the horizon and connect the dots more effectively. 

“At the time, our approach to research was really immature. People would Google a few keywords or visit a couple of websites when they had time here and there. Nothing was tracked,” Tino recalls. 

LIH needed an effective way to gather, analyze, and prioritize intelligence from millions of different sources into a single feed. They also needed a system to get alerted when key topics came up, without drowning in the noise of irrelevant data. “We wanted to really professionalize our approach. And we needed to find the right tools for the job.” 

We wanted to really professionalize our approach. And we needed to find the right tools for the job.”

Tino Klaehne, Director of Strategic Innovation and Intelligence, Lufthansa Innovation Hub

THE SOLUTION
Using Feedly AI to research and define the future of their market: Travel and Mobility Tech

LIH was able to go one step further than just professionalizing their intelligence-gathering: They have defined their arena at the intersection of travel, mobility, and tech (TNMT).

TNMT brings together traditionally-siloed interests that cover the entire ecosystem of products and services around the travel experience, from accommodation to space travel. 

By adopting Feedly AI to discover and research new market opportunities, LIH gathers and synthesizes intelligence that covers this entire category. They can shape, test, and validate hypotheses that will define the future of travel. 

“It’s strategically powerful to be able to define our own category and be the leaders in what we’re doing. And that’s where Feedly comes in. It allows us to create our own definitions and categories, beyond standard industry definitions. We can build everything around this TNMT model and see what we find there.” 

“Blurred Travel” and other future trends

When Tino and his team identify a new “fuzzy concept” or broader trend that they want to research and define, they set up a new Feedly Board on the topic and add relevant articles from other boards. From there, one of their analysts will define which keywords to track. They will build an AI Feed and gradually refine it, adding models and muting terms to filter out the noise. 

An AI Feed that Tino and his team have created to track the “fuzzy concept” of Blurred Travel, combining existing AI Models like “Bleisure travel”, “Remote work”, and the “Travel & Hospitality Industry”.

For example, LIH has coined the model of “Blurred Travel,” a shift they’re seeing as we emerge from the COVID-19 pandemic, where business and leisure travel are increasingly merging. “It’s really hard to search for a term if you’re the one coining it,” Tino says. “To validate our hypotheses, we try to put different AI models together and look at what is coming through Feedly to see what is happening out there.”

An excerpt about Blurred Travel from a recent issue of LIH’s TNMT newsletter.

Tracking innovation via venture capital investments 

LIH also uses AI Feeds in Feedly to track venture capital investments in travel and mobility tech in order to predict how the industry will evolve. “Venture capital investments are one of our key metrics to determine innovation patterns,” Tino explains. “We want to know where smart people are putting a lot of money, and to understand why it’s happening. It’s a really good proxy indicator for us.” LIH publishes the only regular report with in-depth research on this topic. 

“Venture capital investments are one of our key metrics to determine innovation patterns. We want to know where smart people are putting a lot of money, and to understand why it’s happening. It’s a really good proxy indicator for us”

They also track over 3,000 startups to keep an eye out for investment and partnership opportunities with startups in related industries, like sustainable fuel, air taxis, and the creator economy.

LIH tracks funding events in the travel industry, because they tend to be an indicator of innovation patterns. Here, they’ve set up an AI Feed in Feedly so it will surface articles around these AI models. 

Integrating Feedly into their processes and tech stack

Part of what makes Feedly so effective for LIH is the way the team has been able to deeply integrate Feedly into their processes and the rest of their tech stack. 

Tino and the LIH team use AI Models, a collection of machine learning models that continuously read millions of articles to analyze and tag key concepts in real-time. For example, they employ the Partnerships and Funding AI Models to keep a close eye on partnerships that other airlines are forming with startups. This gives them a clearer sense of the direction their industry is heading and what other companies are prioritizing. 

LIH also uses Feedly as the jumping off point for kickstart new projects: Employees combine AI Models in AI Feeds, which track and find relevant content continuously. Through the AI Feeds they’ve set up, the team finds useful content and regularly adds it to Boards. 

When a new project starts, employees search those Boards to see what’s been gathered on the topic and what information is already out there, curated by their team in Feedly. They’ll then create a new Board and connect it to the Slack channel for that project to keep all relevant research in one place. 

Company onboarding at LIH even includes a Feedly tutorial. That’s how deeply we want Feedly to be embedded in our processes says Tino.

THE RESULTS
Faster, more insightful research that looks toward the future

Over the years, LIH’s reputation has grown. Their Travel & Mobility Tech newsletter, TNMT, now has over 10,000 subscribers, including both internal stakeholders and thousands of readers outside the company who rely on LIH’s analysis and research. Without Feedly, Tino estimates that intelligence gathering would take at least 3-5x longer, and wouldn’t be nearly as effective.

A recent issue of the TNMT newsletter, highlighting LIH’s research and analysis around investments into air-taxi startups.

Tino’s team is currently starting to build workflows that will make it easier for more teams to set up Feedly and other research tools to gather their own data independently. “We believe this has the potential to become a strategic intelligence layer for the entire Lufthansa Group, built around Feedly and a few other key tools,” Tino says. 

Feedly at the heart of their toolbox

LIH’s confidence in Feedly continues to grow, and they anticipate it continuing far into the future. They recently signed a three-year contract with Feedly so LIH can continue to build their future-focused processes with Feedly AI.

Even after analysts leave LIH, they continue to choose Feedly, Tino says. Feedly is such an integral part of the strategic intelligence tech stack that at least five former LIH employees have brought Feedly with them to new jobs. 

“Feedly is the core of our toolbox. We appreciate the close collaboration we have, and we really like the improvements and new features they are releasing. We feel like we’re progressing at the same time, together.” 

Start building your strategic intelligence process

Try Feedly for Market Intelligence to track emerging trends, monitor competitors, identify business opportunities, and share insights with your organization.

TRY FEEDLY FOR MARKET INTELLIGENCE

Stay on top of new partnerships and collaborations in your industry

Por Gaby Zedan
Market Intelligence
Use Feedly’s Partnerships machine learning model to easily track articles mentioning partnership announcements

Tracking new partnerships is an essential part of Market Intelligence

That’s why we’ve added Partnerships to the list of strategic moves Feedly AI understands.

Now, with this new machine learning model, your team can:

  • Track new collaborations and innovations in your industry
  • Spot new business development opportunities
  • Keep a closer eye on your competition

Curious how it works? Here is a quick tour:

Example: Partnerships related to Biopharma Industry
A machine learning model that flags articles mentioning a partnership announcement between multiple companies
Popular partnership use cases
Quickly identify partnership-related sentences

Speed up your market intelligence research

Partnerships is one of the machine learning models included in Feedly for Market Intelligence. Start a free 30-day trial to see how Feedly can help you speed up your market intelligence.

Start 30-day free trial

Keep track of innovations in digital banking

Por Gaby Zedan
Market Intelligence
With Feedly’s new Neobanks AI Model, you can effortlessly keep up with the growth and strategies of the world’s top 350 neobanks

The new Feedly Neobanks AI Model is a handy list of the top 350 digital banks.

This new Machine Learning model will help you:

  • Track new trends and innovations across fintech
  • Spot new investment opportunities
  • Discover potential partners to work with

Curious how it works? Here is a quick tour:

Example: Neobanks related to Product Launches
A machine learning model that tracks 350 global neobanks
Popular neobank use cases
Tracks over 350 neobank companies across the globe
Quickly identify key strategic move sentences

Speed up your market intelligence research

Neobanks is one of the machine learning models included in Feedly for Market Intelligence. Start a free 30-day trial to see how Feedly can help you speed up your market intelligence.

START 30-DAY FREE TRIAL

  • 25 de Julho de 2022, 00:00

Don’t miss out on your competitors and partners’ product launches

Por Gaby Zedan
Market Intelligence
Easily track the latest product launches in your industry with Feedly AI

Keeping up with your competitor’s latest product announcements in real-time is close to impossible.

We’ve added Product Launches to the list of strategic moves Feedly AI understands.

This new machine learning model will help you:

  • Analyze how to differentiate yourself from your competitors
  • Spot new partnership opportunities
  • Monitor the latest releases of portfolio companies

Curious how it works? Here is a quick tour:

Example: Product Launches related to Autonomous Vehicles
A machine learning model that flags mentions of product launches
Popular product launch use cases
Fewer false positives than basic keyword searches
Quickly identify key product launch sentences
Customer Feedback

Speed up your market intelligence research

Product Launches is one of the machine learning models included in Feedly for Market Intelligence. Start a free 30-day trial to see how Feedly can help you speed up your market intelligence.

Start 30-day free trial

How DB Schenker used Feedly to create an “innovation hub” to detect new business opportunities

Por Annie Bacher
Case Study
This leading logistics provider scans the horizon to identify trends and opportunities in real time
Impact
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Disseminate 18+ newsletters with over 2,000 internal newsletter subscriptions

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Surface the latest trends, emerging technologies and competitors

target icon

Stay on top of customers’ latest logistics investments through targeted intelligence

A small innovation team with a huge impact across the company

DB Schenker’s innovation team used Feedly to create an innovation, trend, and opportunity hub, which they use to analyze and distribute content out to the wider departments that need to gather intelligence, monitor trends, and spot emerging technologies as they evolve. Read about how they did it in this case study.

THE CUSTOMER
DB Schenker, global leading logistics provider

Jacek Pucher is a Global Innovation Manager for DB Schenker, one of the world’s leading logistics providers of land, air, and ocean freight. Jacek helps his company stay up-to-date on the latest developments in logistics – whether that’s by keeping an eye on the competition, identifying new business opportunities, or tracking innovations in the market. 

THE CHALLENGE
Finding an efficient system to scan the horizon for emerging trends and business opportunities

Back in the beginning of 2020, the Global Innovation team didn’t have any tools to help them sift through the flood of information that’s published online every day. 

Monitoring trends and opportunities manually was impossible and impractical. DB Schenker is a global company, and they need to be up-to-date on competitor strategies, events, trends, and what their customers are up to in different markets around the world. 

But if they wanted to continue to be successful in a competitive market, they needed to find a way to scan the horizon efficiently. “Companies operate in an uncertain world,” Jacek explains. “To be able to tackle these uncertainties, you need to be constantly monitoring what is happening around you.” 

THE SOLUTION
Using Feedly AI to build a hub to monitor innovations, trends, competitors, and opportunities

When Jacek first began pitching Feedly to internal stakeholders, his team was quickly overwhelmed with requests for their own newsletters with real-time information.

“Almost right away, we had many colleagues who were interested and asked us to create newsletters for them,” Jacek recalls. “It started scaling quickly, and very soon it got to the point where our Feedly-dedicated team of two wouldn’t be able to do the monitoring for the whole company.” 

So instead, Jacek created an internal scaling model that uses Feedly AI to feed DB Schenker’s innovation, trend, competitor, and opportunity hub and triage intelligence out to the wider company. 

Here’s how he did it:

1. Set up Feedly AI to surface the right information

Feedly AI uses a collection of machine learning models to continuously read millions of articles to analyze and tag key concepts in real time. It’s like having an extremely eager research assistant – with a million times the computing power. 

Jacek set up AI Feeds, AI-powered searches across the web, to track logistics innovations for new developments. He also used Feedly AI’s pre-trained Tech & Scientific Innovation Model to get immediate updates on emerging trends and new technologies.  

Jacek also set up AI Feeds for the sales teams for DB Schenker’s different business units to help them identify business opportunities. The AI Feeds focused on topics like the supply chain industry, supply chain last mile deliveries, land transport, ocean freight, and warehousing. “It was so simple,” he says. 

Jacek created this “Logistics Innovation” AI Feed to track innovation in the areas his company cares about the most.

2. Curated newsletters disseminate valuable market intelligence information across the company

Once Jacek had Feedly AI set up to surface relevant information, he turned on Team Newsletters. The innovation team curates articles by saving them to a Board in Feedly, and then the newsletters are regularly sent to a predefined list of emails from Boards. 

When Jacek and the innovation team save articles to specific Feedly Boards, weekly newsletters are sent to subscribers throughout the company. Boards can also kick off a series of other workflows, like pushing content to an innovation portal.

Then, he pitched the tool’s market intelligence applications to teams across the company to help other teams set up their own newsletters, based on their intelligence needs. 

The innovation team’s first internal customer had a very specific goal in mind: they wanted to use Feedly to stay on top of their customers’ latest investments. “If our customers build a warehouse or a production facility, they are going to need logistics services soon,” Jacek explains. “If we know about that earlier, our sales team can approach our customers to offer our services.”

From there, interest grew quickly, and multiple teams approached Jacek to set up their own newsletters. Pretty soon, Jacek had used Feedly AI to set up 18 different newsletters for teams across the company. 

3. The innovation team creates a scalable framework for surfacing trends   

Now, when a team approaches Jacek to help them gather market intelligence, the process is simple: 

  1. Jacek asks the department what keywords and concepts they would like to track. 
  2. Then, he creates the AI Feeds for them and asks for feedback.
  3. Together, they refine their AI Feeds to improve the signal-to-noise ratio, so they only receive what’s most relevant to them. 
  4. Finally, he trains a team “Feedly editor,” who becomes the owner of the department’s market intelligence – and Jacek is free to go help the next team who wants to gather market intelligence. 

Jacek says, “I assist them in the first few weeks, and I help them publish the first newsletter. After that I hand over the reins and that person becomes responsible for intelligence gathering for their team. They can do their own thing.”

“If our customers build a warehouse or a production facility, they are going to need logistics services soon. If we know about that earlier, our sales team can approach our customers to offer our services.”

THE RESULTS
A small innovation team with a huge impact across the company

DB Schenker now has an innovation, trend, and opportunity hub, which they use to analyze and distribute content to the wider departments that need to gather intelligence, monitor trends, and spot emerging technologies as they evolve. 

Over 2,000 active newsletter subscriptions

So far, the 18 newsletters have over 2,000 subscriptions, with many employees signing up to more than one. Every new employee gets the option to sign up for Feedly newsletters during their onboarding as well. “I get lots of positive feedback,” Jacek says. “People really value these newsletters and the insights they provide.” 

The “innovation hub” that the team built with Feedly has been so successful that Jacek gathered internal feedback and wrote an internal success story about the initiative.

Jacek gathered feedback from employees across the company and wrote this internal article (shared here with permission from DB Schenker) to illustrate the success of their innovation hub with Feedly.

A collaborative network to break down information silos 

Setting up Feedly as a hub for market intelligence has created an unexpected benefit for the Global Innovation Team, as well: Jacek now has a network of people across the company who can collaborate and lean on each other as resources. He credits the success of this “innovation hub” to the broader team of “Feedly editors” who scan, analyze, and distribute newsletters through Feedly every week for the sales teams within each business unit. 

Jacek reflects on what the Global Innovation team has been able to achieve since starting to use Feedly: “Strategic foresight and scenario building are the innovation tools of the future. And you cannot build scenarios if you don’t know what is happening and what has happened. That’s the big opportunity that Feedly creates for us.”

“Strategic foresight and scenario building are the innovation tools of the future. And you cannot build scenarios if you don’t know what is happening and what has happened. That’s the big opportunity that Feedly creates for us.”

Start building your own innovation hub

Try Feedly for Market Intelligence to track emerging trends, monitor competitors, identify business opportunities, and share insights with your organization.

TRY FEEDLY FOR MARKET INTELLIGENCE

Research critical vulnerabilities with the new CVE Insights Card

Por Edwin K
Threat Intelligence
Use Feedly AI to get the full picture you need to quickly prioritize critical vulnerabilities and minimize exposure

Exploited and critical CVEs need to be prioritized as soon as possible to limit exposure.

But manually gathering the full picture needed to make smart prioritization decisions is tedious.

We are excited to announce the new Feedly AI CVE Insights Card.

It’s a machine learning model that aggregates, analyzes, and synthesizes vulnerability information from across the web in real-time so that CTI teams can easily:

  • Get a 360-degree view of a CVE without having to open a multitude of tabs
  • Discover critical, exploited, and trending vulnerabilities early
  • Easily link vulnerabilities to threat actors, malware families, and TTPs
  • Predict the CVSS severity, CWE, and popularity of zero-days

Curious how it works? Here is a quick tour

Introducing the new CVE Insights Card
Feedly’s AI Engine aggregates, analyzes, and synthesizes millions of articles

Feedly AI aggregates CVE information from NVD, 25+ vendor advisories, Github, and 10 trusted exploit sources to offer you in one place all the information you need to prioritize an emerging vulnerability.

Feedly AI also predicts the CVSS severity and CWE when it is not yet available on NVD.

You can use the cut and paste action to capture the information you need to create a ticket for your team to review this vulnerability.

Get a 360-degree view of a CVE to easily prioritize critical vulnerabilities

Feedly AI identifies links between the CVE, threat actors, and malware families by analyzing news articles, threat intelligence reports, and social media posts.

Quickly research adversary activity and awareness level

This graph also captures how many sources and social media accounts are mentioning the CVE and compares it to the number of mentions of other CVEs of the same vendor, allowing you to detect trending vulnerabilities early.

Feedly AI organizes all the information he aggregated and analyzed into 3 buckets: vendor advisories, references (trusted and highly curated cybersecurity sources), and social media chatter.

Skim through advisories, trusted reference articles, and social media chatter in one place

As soon as Feedly AI discovers a mention of a vulnerability on news sites, research blogs, vendor advisories, or social media posts, he will create a CVE Insights Card. You can access the CVE Insights Card of any CVE using the https://feedly.com/i/cve/$cve-id URL format.

Some interesting CVEs to research

Here are some examples of CVE Insights Cards you can explore: CVE-2021-44228, CVE-2022-22965, CVE-2022-1388, and CVE-2022-26134.


Speed up your cyber threat intelligence

The CVE Insights Card is one of the machine learning models included in Feedly for Threat Intelligence. Start a free 30-day trial to see how Feedly can help you speed up your threat intelligence.

START 30-day FREE TRIAL

Track funding events effortlessly

Por Gaby Zedan
Market Intelligence
Quickly discover the latest funding rounds in your sector with Feedly AI

Do you track the growth strategies of your competitors, customers, or partners?

We have added Funding Events to the list of strategic moves Feedly AI understands.

This new machine learning model will help you:

  • Track your competitors’ growth
  • Identify potential partners
  • Discover investment opportunities

Curious how it works? Here is a tour

Example: Funding Events related to Web 3
A machine learning model that flags mentions of funding events in your industry
Popular funding events use cases
Fewer false positives than basic keyword searches
Quickly identify key funding events sentences
Customer Feedback

Speed up your market intelligence research

Funding Events is one of the machine learning models included in Feedly for Market Intelligence. Start a free 30-day trial to see how Feedly can help you speed up your market intelligence.

Start 30-day free trial

Discover proof of exploits early

Por William Kulp
Threat Intelligence
Track emerging exploits across the Web with Feedly AI

Does your team track emerging exploits across cybersecurity websites, code repositories, and social media sites?

We just released a new Proof of Exploit AI Model that I think you will find valuable.

This new machine learning model allows you to:

  • Discover proof of exploits early
  • Research how vulnerabilities are being exploited
  • Link exploited CVEs to adversary behavior

Curious how it works? Here is a tour

Example: Proof of Exploits related to Google Chrome
A machine learning model that flags mentions of exploits
Fewer false positives than basic keyword searches
Quickly identify key exploit sentences
Popular exploit use cases

Speed up your cyber threat intelligence

Proof of exploit is one of the machine learning models included in Feedly for Threat Intelligence. Start a free 30-day trial to see how Feedly can help you speed up your threat intelligence.

START 30-DAY FREE TRIAL

Track companies’ press releases in Leo Web Alerts

Por Olivia Malterre
Market Intelligence
Monitor the press releases of your competitors with the new Press Releases Bundle.

Keeping up with the big announcements that your competitors, partners or customers make in their press releases can be tedious and overwhelming.

This is why we manually curated hundreds of Press Releases that we organized into a Press Releases Bundle that you can now add to all your Leo Web Alerts.

To help you only get relevant press release articles about the companies you selected, we automatically improve your Web Alert when you select the “press release” topic in your search. This automatic improvement helps you save time and consists in 3 main changes:

  1. We add the Press Releases Bundle to your Leo Web Alert (see the Refine Sources block on the right)
  2. We remove the other source bundles from your Web Alerts so your search is focused on press release feeds exclusively. You can always add more feeds and bundles if you want to
  3. We remove the “press release” topic that would otherwise narrow down your search only to articles that mention “press release” in their content.
When you create a Leo Web Alert where you search for “press release”, we automatically improve it to increase the relevance of the results.

Feel free to reach out to enterprise@feedly.com if you have any questions!

Track competitors and emerging trends Feedly AI

Por Katie Spencer
Market Intelligence
Speed up your market intelligence by 70% with (Feedly) AI Feeds

The core of Feedly for Market Intelligence is an AI engine, that automatically gathers, analyzes, and prioritizes intelligence from millions of sources in real-time.

In this article, we’ll show you how to use Feedly AI to:

  • Track your competitors and their strategic moves
  • Stay ahead of consumer trends and insights
  • Scout technical innovation
  • Identify business development opportunities

Before we look at those four examples, let’s start with a short overview of how Feedly AI works.

Meet Feedly AI

Feedly AI reads millions of articles, reports, and social media posts to determine if they are relevant to the topics you want to track.

Feedly AI automatically tags key market intelligence concepts

All this information is at your fingertips in near real-time via a powerful search and tracking interface called AI Feeds.

To understand how this works, let’s review an AI Feed designed to track Amazon’s recent product launches:

AI Feeds: A powerful and intuitive search and tracking interface

Creating a (Feedly) AI Feed is a three-step process:

  1. Use AI Models to define the information you want to gather. In our example, we use a Company and Strategic Move AI Model to track all information about Amazon’s product launches.
  2. Use AND, OR, NOT operators to combine multiple AI Models and refine your focus. In our example, we use AND to only track articles that reference both Amazon and product launches.
  3. If needed, refine sources with your own trusted sources. By default, Feedly’s AI Feeds will search across the Market Intelligence Bundle, which is a collection of top tier B2B sources including strategy magazines, tech blogs, business magazines, research journals, and trade publications. You can control the sources your AI Feed pulls from using the “Refine Sources” feature.

With (Feedly) AI Feeds, you can add to a team or personal Folder. New articles, reports, or social media posts that match the specified AI Models will appear in the AI Feeds.

AI Models are easier to use, more comprehensive, and less noisy than traditional keyword searches

The power of (Feedly) AI Feeds is that Amazon and Product Launches are not simple keyword matches. These AI Models are machine learning models that encapsulate a broader understanding of each concept.

  • ‘Leadership Changes’ is a Strategic Move AI Model that intelligently scans for new leadership change announcements. This model will be able to find relevant updates even if the term “leadership change” isn’t explicitly used.
  • ‘The Walt Disney Company” is a Company AI Model that tracks mentions of Disney or any known alias, like ‘Walt Disney’. A disambiguation model will be used to remove false positives for “The Walt Disney Company”, and only return relevant mentions of the company.

Without AI Models, finding the right information would require manually updating a long list of keywords, leaving room for human error and irrelevant results.

Feedly for Market Intelligence comes with a wide range of pre-trained AI Models so that you can easily translate your intelligence needs into AI Feeds.

Feedly for Market Intelligence comes with a wide range of pre-trained AI Models

Let’s examine how to combine these AI Models to build a strong market intelligence engine.

Track your competitors and their strategic moves

Tracking the strategic moves of your competitors can be tedious and overwhelming. That’s why Feedly has created Company AI Models, which tracks competitor decisions and actions using Artificial Intelligence, saving your team hundreds of hours.

Let’s take a look at an AI Feed designed to track all the latest updates about Apple:

Use Company AI Models to track mentions and updates from specific companies
  • ‘Apple’ is a Company AI Model that tracks all mentions of Apple and its aliases (such as Apple, Inc. and apple.com). A disambiguation model will be used to remove false positives for “apple”, and only return relevant mentions of the company.

You can use Strategic Move AI Models to refine your competitive research to only the most relevant updates, such as Product Launches, New Patents, and Partnerships.

Let’s take a look at an AI Feed designed to track Apple’s newest patents and tech innovations:

Use Strategic Moves AI Models to track specific news about competitors, like New Patents or Innovations
  • ‘Apple’ is a Company AI Model that tracks all mentions of Apple and its common aliases.
  • ‘New Patents’ is a Strategic Move AI Model that tracks newly published patents.
  • ‘Tech & Scientific Innovation’ is an AI Model that tracks breakthroughs and innovations by companies, startups, and research teams.

Here are some additional AI Models you can use to refine your competitive research:

Use different AI Models to refine your competitive research

Discover emerging trends

Manually tracking consumer behaviors often feels like searching for a needle in a haystack. That’s why we built the Consumer Insights AI Model, which surfaces articles that mention behavioral statistics and consumer data most relevant to you.

Let’s take a look at an AI Feed designed to track Consumer Insights related to Sustainability:

The Consumer Insights AI Model detects articles that mention behavioral statistics related to customers and consumers
  • ‘Consumer Insights’ is an AI Model that tracks consumer statistics related to emerging societal, technological, economic, ecological, and political trends.
  • ‘Sustainability’ is an AI Model that intelligently scans for mention of Environmental Sustainability and everything related to this topic.

Scout technological innovation

Market Intelligence teams leverage Feedly AI to make their tech innovation research 70% faster. Technology AI Models intelligently scan for a range of new technologies, such as Augmented Reality, Crypto, and Quantum Computing.

Let’s take a look at an AI Feed designed to track updates about Crypto and Digital Wallets:

Track relevant new technologies like Crypto with Technology aI Models
  • ‘Crypto’ is a Technology AI Model that recognizes numerous terms for Crypto. The AI Model will continuously learn and include new terms, keeping pace with ever-changing technologies.
  • ‘Digital Wallet’ is an AI Model that intelligently scans for mentions of digital wallets and continuously updates to account for new aliases.

Identify new partnership opportunities

Keeping up with business development opportunities helps your company stay competitive in your industry. AI Feeds allow you to identify and act on key market opportunities as they arise.

Let’s take a look at an AI Feed designed to gather intelligence about companies that have recently raised funds in the finance industry:

Tracking Funding Events in your industry allows your team to stay ahead of partnerships opportunities for specific or broad industries
  • Finance Industry’ is an Industry AI Model that classifies articles related to the finance industry based on company mentions and terminology.
  • Funding Events’ is a Strategic Move AI Model that detects any capital-raising events, from seed funding to late-stage rounds or exits.

Getting smarter every day

The world’s leading Market Intelligence teams use Feedly to stay competitive, so the product constantly improves based on their feedback.

Here is the roadmap for some new AI Models we are researching for our Market Intelligence customers:

2022 AI Models Roadmap – Market Intelligence

Feedly for Market Intelligence customers can reach out to enterprise@feedly.com to share feedback on existing AI Models or suggestions for new AI Models. We value our community’s input, as this ensures Feedly is working at full capacity to serve your Market Intelligence needs.

Try Feedly for Market Intelligence

All of these features, plus many more, are available as a part of Feedly for Market Intelligence. To learn more or to start a free 30-day trial, click the link below.

Try Feedly for Market Intelligence

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