Tag: Top

Top Tech Stocks for May 2023

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Tingo Group Inc., Aehr Test Systems, and Super Micro Computer Inc. are among the top-performing tech stocks this month, each providing investors with returns in excess of 150% in the past year.

The Technology Select Sector SPDR Fund (XLK), a benchmark for tech stocks, has risen about 12% in the past 12 months, outperforming the broader market amid increased interest in artificial intelligence. The Russell 1000 Index rose 3% over the same period.

We look at the top tech stocks in three categories: the best value, the fastest growth, and the most momentum. All data are as of May 5.

Best Value Tech Stocks

Value investing is a factor-based investing strategy that involves picking stocks that you believe are trading for less than what they are intrinsically worth, usually by measuring the ratio of the stock’s price to one or more fundamental business metrics. A widely accepted value metric is the price-to-earnings (P/E) ratio.

Value investors believe that if a business is cheap compared with its intrinsic value (as measured by its P/E ratio, in this case), then its stock price may rise faster than that of others as the price comes back in line with the worth of the company. These are the tech stocks with the lowest 12-month trailing P/E ratio.

Best Value Tech Stocks
  Price ($) Market Capitalization (Market Cap) ($B) 12-Month Trailing P/E Ratio
Daqo New Energy Corp. (DQ) 44.73 3.5 2.2
Avnet Inc. (AVT) 42.76 3.9 4.7
Himax Technologies Inc. (HIMX) 6.78 1.2 5.0
Nokia Oyj (NOK) 4.11 22.9 5.2
Arrow Electronics Inc. (ARW) 119.64 7.0 5.5

Source: YCharts

  • Daqo New Energy Corp.: Daqo is a Chinese monocrystalline silicon and polysilicon manufacturer developing products mainly used in solar energy applications.
  • Avnet Inc.: Avnet provides supply chain and logistics services, distribution, and design support for electronic components. It ships about 283 billion units annually and employs 15,300 people. On Feb. 16, Avnet announced a first-quarter dividend of $0.29, payable on March 15. The company has consistently increased its dividend for two years.
  • Himax Technologies Inc.: Himax is a Taiwanese fabless semiconductor company. Himax unveiled in late March a new chip for AI applications in low-power Internet of Things (IoT) products.
  • Nokia Oyj: Nokia is a Finnish-based operator of networking infrastructure.
  • Arrow Electronics Inc.: Arrow offers products, solutions, and services focused on enterprise computing systems. On March 14, Arrow Electronics announced a collaboration with semiconductor company Qualcomm (QCOM) to establish Edge Labs, an incubator for the development of edge computing and AI products.

Fastest Growing Tech Stocks

These are the top tech stocks as ranked by a growth model that scores companies based on a 50/50 weighting of their most recent quarterly year-over-year (YOY) percentage revenue growth and most recent quarterly YOY earnings-per-share (EPS) growth.

Both sales and earnings are critical factors in a company’s success. Therefore, ranking companies by only one growth metric makes a ranking susceptible to the

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Top 11 Small Business Technology Trends

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  • Some tech trends, like the proliferation of 5G cellular networks and artificial intelligence, are steadily gaining importance.
  • Other tech changes are relatively new and haven’t yet disrupted the market, but their significance is undeniable.
  • The continued knock-on effects of the COVID-19 pandemic have reshaped how, where and when people work, and tech is playing a key role in supporting flexible hybrid work.
  • This article is for small business owners who want to take a proactive look at technology trends.

As an entrepreneur or small business owner, you may not be at the forefront of developing technology, but tech still plays a vital role in your business’s growth and efficiency. Given how much things have changed in the past year, small business technology trends will only become more important throughout 2023.

While new infrastructure like 5G will continue to gain traction, established markets such as employee monitoring software will also have a greater impact on small businesses.

Almost three years after the first COVID-19 lockdowns were introduced, companies worldwide are still struggling to establish a new normal. Tech can play a crucial role in rebalancing, reconstructing and reinvigorating small and midsize businesses.

In addition to investigating the latest tech trends among small companies, we asked some leading tech experts and small business owners for their thoughts. Here are 11 small business tech trends for 2023 and beyond.

In many ways, this year is set to further trends that had begun at the beginning of the COVID-19 pandemic. However, as investments into these tech trends begin to bear fruit, the pace of adoption of many of the following technologies is set to quicken.

1. Artificial intelligence will become more widespread.

Artificial intelligence and machine learning have been hot tech topics for years. For example, AI is reshaping the insurance industry by improving insurer pain points and creating a better user experience.

AI will also benefit from reaching the point of operator profitability. For instance, technology company NVIDIA found AI deployments in retail stores caught 98 percent of instances of theft, fraud or human error, which led to a quick return on investment. With return on investment in mind, IBM found 35 percent of companies are currently using AI with another 42 percent exploring AI use cases.

This could mean a wide range of implementation scenarios this year, such as voice assistants, personalized customer experiences and e-commerce chatbot services. In fact, artificial intelligence business trends already include more AI in cybersecurity, CRM systems and market research.

Meredith Schmidt, executive vice president and general manager of small business and essentials at Salesforce, said that although artificial intelligence may sound like something only large enterprises use, it will become more widely adopted by small businesses.

“AI will help small businesses offer more personalized experiences to their customers by maximizing their time and automating manual tasks,” Schmidt said. “If you are spending almost a quarter of your day on manual tasks like inputting data, as

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Stop Home Network Hackers: Top 10 Tips to Protect Your Wi-Fi Security

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Your home Wi-Fi network might not be as safe as you think. In 2021, internet crime cost Americans more than $6.9 billion. While phishing and scams contributed to the losses, personal data breaches were also significant. In many cases, those personal data breaches could have been prevented by just a little home network security.

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The average US household has more than 10 devices connected to its home Wi-Fi network. From laptops and tablets to phones, smartwatches and streaming devices, the number can ramp up quickly, and each is potentially vulnerable to hacking. With so much data stored on those devices — credit card numbers, bank records, login credentials and other personal and private information — you want to ensure you’re protecting yourself from hackers if your network is ever compromised.

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A secure home network will help reduce the risk of getting hacked and having someone access your sensitive information. Not only that, it will keep away unwanted or unauthorized users and devices that would slow down your connection or freeload on the internet service you pay for.

It’s fairly simple to create and maintain a secure home Wi-Fi network. Below, you’ll find 10 tips for securing your network. Some are more effective than others at keeping hackers and freeloaders at bay, but all are useful in their own way. Keep in mind that nothing can guarantee absolute security from hacking attempts, but these tips will make it harder for anyone to compromise your network and data. (For more Wi-Fi tips, check out how to tell if your internet provider is throttling your Wi-Fi and our tips on how to speed up your Wi-Fi connection). 

How to secure your home Wi-Fi network

Here are the basics for protecting your home Wi-Fi network. Keep reading for more information on each below.

1. Place your router in a central location.

2. Create a strong Wi-Fi password and change it often.

3. Change the default router login credentials.

4. Turn on firewall and Wi-Fi encryption.

5. Create a guest network.

6. Use a VPN.

7. Keep your router and devices up to date.

8. Disable remote router access.

9. Verify connected devices.

10. Upgrade to a WPA3 router.

Place your router in a central location

Strong network security starts with a smart setup. If possible, place your router at the center of your home. Routers send wireless signals in all directions, so strategically placing your router in a central location will help keep your connection to the confines of your home. As a bonus, it will likely also make for the best connection quality.

For example, if you have internet in an apartment where neighbors are immediately to the left and right of you, placing your router next to a shared wall could send a strong, and tempting, signal

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Top Artificial Intelligence (AI) Tools That Can Generate Code To Help Programmers

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The world of programming is evolving thanks to AI technologies. It is just a matter of time until artificial intelligence entirely replaces human programmers since AI-generated code is getting more accurate.

Some could see this negatively, while others think AI will speed up the process of writing better code. In this article, we’ll talk about some of the AI tools that are presently accessible to programmers and examine how they’re affecting how we create code.

Although AI-generated code still needs to be flawless, it is always improving. Even better than code created by humans, certain AI technologies can generate code. This is a significant advance and demonstrates how AI may be used to write better code more quickly.

OpenAI Codex

GitHub Copilot, a tool from GitHub to produce code inside common development environments such as Neovim, VS Code, JetBrains, and even in the cloud with GitHub Codespaces, is powered by OpenAI Codex, a model based on GPT-3. It claims it can write code in at least 12 different languages, including BASH, JavaScript, Go, Perl, PHP, Ruby, Swift, and TypeScript. The algorithm is trained on trillions of lines of publicly accessible code from places like GitHub repositories.

Through a limited beta, OpenAI made the model accessible to platform providers and developers so they could provide tools and integration.

Tabnine

Although Tabnine is not an end-to-end code generator, it amps up the integrated development environment’s (IDE) auto-completion capability. Jacob Jackson created Tabnine in Rust when he was a student at the University of Waterloo, and it has now grown into a complete AI-based code completion tool.

More than 20 languages and 15 editors are supported by Tabnine, including well-known IDEs like VS Code, IntelliJ, Android Studio, and even Vim. A team of three developers may get it for $432 a year.

CodeT5

Researchers at SalesForce created the open-source programming language paradigm known as CodeT5. The T5 (Text-to-Text Transfer Transformer) framework from Google is its foundation. The researchers used approximately 8.35 million instances of code, together with user comments, from openly available GitHub projects to train CodeT5. The bulk of these datasets was obtained from the CodeSearchNet dataset, containing two C and C# datasets from BigQuery, along with Ruby, JavaScript, Go, Python, PHP, and C and C#.

Polycoder

OpenAI’s Codex has a competition in the form of a Polycoder. The model, created by scientists at Carnegie Mellon University, is based on OpenAI’s GPT-2, which was trained using a 249 GB codebase developed in 12 different programming languages. The creators of PolyCoder claim that the software can write C more precisely than any other model, including Codex. Polycoder is one of the earliest open-source code-generating models, even if most code generators are not.

Cogram

Cogram is a startup from Berlin’s Y-Combinator incubator that creates code for data scientists and Python programmers using Jupyter Notebooks and SQL queries. English-language queries may be written by data scientists and converted by the tool into sophisticated SQL queries with joins and grouping. It works with MySQL, SQLite, PostgreSQL,

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OODA Loop – Top 10 Security, Technology, and Business Books of 2022

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Welcome to the 2022 edition of my top 10 books of the year list. This year, I’ve decided to split the fiction books into an additional category and given you two bonus books for your consideration written by close friends of mine.  With the launch of the Hack Factory this year, I’ve been very focused on business, building technologies, and investing style books. As a result, that is a major thematic for this year.  Noticeably absent are books on Blockchain/Cryptocurrencies as that industry is in the middle of a Creative Destruction phase, and I continue to view cybersecurity as being stuck in a Cyber Winter.

It was particularly hard to distill the list down to a top 10 this year, so If you like these recommendations, I’d greatly appreciate it if you sign up for my weekly Global Frequency mailing list. I read over 100 books per year and review one per week on the Global Frequency which also includes my hand-curated picks for the top technology and security news of the week.  I keep a rolling list of recommended books on the Global Frequency Idea List at Amazon.

Also, please feel free to connect with me on social media, and always feel free to send me suggestions or review copies of your books.  LinkedIn | Twitter | Instagram

Here is the 2022 list:

“The Power Law: Venture Capital and the Making of the New Future” by Sebastian Mallaby

A great look at the venture capital industry and the underlying dynamics of venture investment success. Mallaby provides interesting and compelling case studies and reveals that great venture firms rely on the Power Law, in which one or a small handful of investments cover the returns for an entire fund.

 

“Decision Advantage: Intelligence in International Politics from the Spanish Armada to Cyberwar” by Jennifer E. Sims

A definitive examination of the value that intelligence plays in the decision-making process that draws on historical and current-day examples.  Useful to anyone making decisions or looking to understand how to derive value from intelligence.

 

“The Metaverse: And How It Will Revolutionize Everything” by Matthew Ball
Given the money flowing into metaverse investments, it is helpful to track the overall opportunity space. Ball provides the most thorough and thoughtful review of the current and future potential of the metaverse that I’ve read in several years.

 

“Where the Money Is: Value Investing in the Digital Age” by Adam Seessel

Seessel provides an interesting look at how to view value investing in an age of disruptive technology. How does one reconcile the type of value investing perspective made famous by Benjamin Graham and Warren Buffett in an age of high-growth stocks? Seessel provides his perspective.

 

“Creative Capital: Georges Doriot and the Birth of Venture Capital” by Spencer E. Ante
I was so impressed with the story of Georges Doriot that I commissioned his portrait as part of the Hack Factory offices. Doriot is viewed as

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Top rated programming languages: Java normally takes an sudden leap forwards

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These best programming languages will get you hired.


Picture: Deagreez/GETTY

There’s no lack of software package developer careers proper now and employers are on the lookout for Python, Java and SQL coders in certain, selecting information signifies – with Go also catching the eye of recruiters.

Developer coaching platform CodingDojo scoured position ads on professions web page In truth to locate out which programming languages are in highest demand in 2022.

It discovered that Python, Java, SQL and JavaScript appeared the most regularly in developer occupation adverts, each showing up in extra than 50,000 listings on Indeed. All 4 saw a substantial jump in desire when compared to 2020-2021, mentioned CodingDojo: “This helps make lots of sense contemplating the U.S. financial state alone has seen far more positions produced in 2021 than any other calendar year on report. Although recovery from the occasions of March 2020 took some time – and in many respects is nevertheless happening – computer system programming work opportunities have come back again and then some.”

The programming language in most desire, according to the details analysed by Coding Dojo, is Java. Extensively applied in Android cellular applications, desktop apps, smart TVs and elsewhere, the Java programming language was observed in extra than 80,000 lively positions listings on In fact.

The findings suggest that Java – a legacy technological innovation by all accounts – is generating a little something of a comeback soon after its level of popularity waned a little bit in 2020 and 2021, pushed down the rankings by Python, which has witnessed steady growth in popularity in recent years.

SEE: Developer employment and programming languages: What is actually very hot and what is actually subsequent

CodingDojo identified that the tables experienced turned in 2022. In 2020 and 2021, Python was the programming language that appeared most commonly on Certainly, but the sharp progress of Java more than the previous yr had pushed Python into second location.

In reality: “Python was the only well-known programming language to only see a modest dip falling from around 74,000 work opportunities to 70,500,” reported Coding Dojo.

That stated, Python is still an exceptionally valuable language for software package builders to understand, particularly with the growth of data science purposes and equipment learning – both of those of which are attracting a great deal of desire from present day corporations. As such, need for Python is nevertheless escalating, with CodingDojo pointing out that it only fell to the variety two place for the reason that desire for programmers who know Java amplified so considerably.

It really is well worth noting that analyses of the acceptance of different programming languages change in their methodologies, which means rankings of this type are not an actual science and have a tendency to vary.

That reported, they can give us a common thought of what expertise and programming languages companies are wanting for when hiring builders.

1 of the most noteworthy adjustments to the 2022 rankings was the demand

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