NEWS

Salesforce buys Slack in a $27.7B megadeal

Published

4 years ago

December 1, 2020

salesforce buys slack in a 27 7b megadeal

Salesforce, the CRM powerhouse that recently surpassed $20 billion in annual revenue, announced today it is wading deeper into enterprise social by acquiring Slack in a $27.7 billion megadeal. Rumors of a pending deal surfaced last week, causing Slack’s stock price to spike.

Salesforce co-founder and CEO Marc Benioff didn’t mince words on his latest purchase. “This is a match made in heaven. Together, Salesforce and Slack will shape the future of enterprise software and transform the way everyone works in the all-digital, work-from-anywhere world,” Benioff said in a statement.

Slack CEO Stewart Butterfield was no less effusive than his future boss. “As software plays a more and more critical role in the performance of every organization, we share a vision of reduced complexity, increased power and flexibility, and ultimately a greater degree of alignment and organizational agility. Personally, I believe this is the most strategic combination in the history of software, and I can’t wait to get going,” Butterfield said in a statement.

Every worker at every company needs to communicate, something that Slack can ably empower. What’s more, it also facilitates external communication with customers and partners, something that should be quite useful for a company like Salesforce and its family of offerings.

Ultimately, Slack was ripe for the taking. Entering 2020 it had lost around 40% of its value since it went public. Consider that after its most recent earnings report, the company lost 16% of its value, and before the Salesforce deal leaked, the company was worth only a few dollars per share more than its direct listing reference price. Toss in net losses of $147.6 million during the two quarters ending July 31, 2020, Slack’s uninspiring public valuation and its winding path to profitability and it was a sitting target for a takeover like this one. The only surprise here is the price.

Slack’s current valuation, according to both Yahoo and Google Finance, is just over $25 billion, which, given its very modest price change after-hours means that the market priced the company somewhat effectively. Slack is up around 48% from its valuation that preceded the deal becoming known.

The new deal also puts Salesforce more on par — and in competition — with its arch rival and sometime friend Microsoft, whose Teams product has been directly challenging Slack in the market. Microsoft, which passed on buying Slack in the past for a fraction of what Salesforce is paying today, has made Teams a key priority in recent quarters, loathe to cede any portion of the enterprise software market to another company.

What really has set Slack apart from the pack, at least initially, was its ability to integrate with other enterprise software. When you combined that with bots, those intelligent digital helpers, the company could potentially provide Salesforce customers with a central place to work without changing focus because everything they need to do can be done in Slack.

Today’s deal comes after Salesforce’s purchase of Quip in 2016 for $750 million. Quip brought to the SaaS giant a way of socially sharing documents, and when paired with the Slack acquisition gives Salesforce a much more robust social story to tell than its internal option Chatter, an early attempt at enterprise social that never really caught on.

It’s worth noting that Salesforce was interested in Twitter in 2016, the same year that Microsoft was reportedly interested in Slack, but eventually walked away from that deal when shareholders objected, not wanting to deal with the controversial side of the social platform.

Slack was founded in 2013, but its origins go back to an online multiplayer game company called Glitch that was founded in 2009. While the game was ultimately a failure, the startup developed an internal messaging system in the process of building that company that later evolved into Slack.

The company’s historic growth helped Slack raise more than $1 billion while private, earning an impressive $7 billion valuation before going public last year. But while the Glitch-to-unicorn story appears simple, Slack has always faced entrenched competition from the likes of not only Microsoft, but also Cisco, Facebook, Google and even Asana and Monday.com.

For Slack, the path to the public markets was fraught with hype and outsized expectation. The company was famous, or as famous as an enterprise software company can be. At the time it felt like its debut was the start of a long tenure as an indie company. Instead, that public life has been cut short by a huge check. Such is the dog-eat-dog world of tech.

TechCrunch

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NEWS

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

Published

3 weeks ago

August 21, 2024

Max

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.

Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.

Why Fine-Tuning Matters

GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.

Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.

Key Features of GPT-4 Fine-Tuning

The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:

Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.

Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.

Implications for the Future

The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.

By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.

OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.

As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.

GOOGLE

This Week in Search News: Simple and Easy-to-Read Update

Published

3 months ago

June 30, 2024

Entireweb News Bot

This Week in Search News: Simple and Easy-to-Read Update

Here’s what happened in the world of Google and search engines this week:

1. Google’s June 2024 Spam Update

Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.

2. Changes to Google Search Interface

Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.

3. New Features and Tests

Link Cards: Google is testing link cards at the top of AI-generated overviews.
Health Overviews: There are more AI-generated health overviews showing up in search results.
Local Panels: Google is testing AI overviews in local information panels.

4. Search Rankings and Quality

Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.

5. Advice for Content Creators

Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.

6. New Search Features in Google Chrome

Google Chrome for mobile devices has added several new search features to enhance user experience.

7. New Tests and Features in Google Search

Credit Card Widget: Google is testing a new widget for credit card information in search results.
Sliding Search Results: When making a new search query, the results might slide to the right.

8. Bing’s New Feature

Bing is now using AI to write “People Also Ask” questions in search results.

9. Local Search Ranking Factors

Menu items and popular times might be factors that influence local search rankings on Google.

10. Google Ads Updates

Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.

These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.

FACEBOOK

Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

Published

6 months ago

March 20, 2024

Max

Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.

Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.

This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.

Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.

When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.

Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.

During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.