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Blockchain startup Fetch.ai grabs $40M to provide monetization and other tooling for AI-generated information

TechCrunch

The startup, based out of Cambridge, England, says it is building tooling that focuses on “autonomous agents, network infrastructure, and decentralised machine learning” that help enable communication and actions between AI applications, the idea being to make the work produced by them more actionable. and Europe).

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Emotional marketing and an e-mail titan walk into a bar

TechCrunch

How Klaviyo used data and no-code to transform owned marketing (3,000 words/12 minutes). Marketing in 2021 is emotional and not just transactional (2,200 words/9 minutes). And in the little-known capital lender space, Shopify is using machine learning to lend money to startups. The AWS for blockchain.

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. Loss of access can also indirectly demonstrate how valuable data is: the impact of a data mishap on a company’s market cap is observable.

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Which emerging technologies are enterprise companies getting serious about in 2020?

TechCrunch

Here are the top five things that fell into the “learning and exploring” cohort, in ranked order: Blockchain. AI/machine learning. AI/machine learning. Here’s what the survey respondents placed into the “in-market or accelerating investment” bucket, in ranked order: Virtual reality.

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Startup PR professionals should be jumping on the AI bandwagon

TechCrunch

Crypto publication Decrypt pointed out the focus hasn’t shifted only for the media: JPMorgan’s e-Trading Edit report noted that institutional traders are also looking carefully at AI while blockchain begins to lose its allure. 4 on the list of proof points, machine learning capabilities should merge into the main hook of the announcement.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Blockchain and decentralization". Data Platforms".

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. In addition, pharmaceutical businesses can generate more effective drugs and improve medical research and experimentation using machine learning.