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10 Best Tech Stocks to Buy for 2023 | Investing

10 Best Tech Stocks to Buy for 2023 | Investing

After an uncharacteristically sluggish performance in 2022, tech stocks have come roaring back to life in 2023. In fact, the Technology Select Sector SPDR ETF (ticker: XLK) has more than doubled the S&P 500’s return through Aug. 4 this year.

For more than a decade, brief periods of tech sector underperformance have consistently been long-term buying opportunities, and that trend seems to be playing out once again so far in 2023. However, inflation and interest rates remain headwinds for tech earnings in the near term, making stock selection critical.

Here are 10 of the best tech stocks to buy today, according to CFRA Research analysts:

Stock Implied upside over Aug. 4 closing price
Apple Inc. (AAPL) 20.9%
Microsoft Corp. (MSFT) 24.2%
Nvidia Corp. (NVDA) 7.4%
Broadcom Inc. (AVGO) 10.6%
Adobe Inc. (ADBE) 10.1%
Salesforce Inc. (CRM) 19.3%
Cisco Systems Inc. (CSCO) 14%
Accenture PLC (ACN) 9.3%
Advanced Micro Devices
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Quisitive and Microsoft husband or wife to accelerate generative AI solutions | 2023-05-18 | Investing News

Quisitive and Microsoft husband or wife to accelerate generative AI solutions | 2023-05-18 | Investing News

  • Quisitive (TSXV:QUIS) has partnered with Microsoft (NASDAQ:MSFT) to acquire generative synthetic intelligence tools
  • This workforce-up will leverage Azure OpenAI and Microsoft Copilot, to embed into its suite of sector technology answers for health care, general public sector, and manufacturing
  • At very first, the firm will emphasis on creating new AI features for its health care option MazikCare Copilot to speed up enhanced affected individual outcomes and reduce scientific load
  • Quisitive Technology Alternatives Inc. (QUIS) opened trading at $.45 for each share

Quisitive (TSXV:QUIS) has partnered with Microsoft (NASDAQ:MSFT) to establish generative synthetic intelligence (AI) instruments.

This workforce-up will leverage Azure OpenAI and Microsoft Copilot, to embed into its suite of industry know-how solutions for healthcare, public sector, and manufacturing.

The organization is prioritizing the swift adoption of secured and field-aligned big language styles (LLM) and has recognized various specific use cases in just its business products for the very first

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