AI investments face integration, compliance, and skills challenges: survey

Network engineers report that they see the current and future value in using artificial intelligence for network management and cybersecurity purposes, according to new survey results, but they also anticipate more barriers to successful adoption than their C-suite counterparts. Network technology provider Opengear surveyed some 513 CIOs and CSOs and 508 network engineers across the U.K., U.S., France, Germany, and Australia to learn more about how organizations are applying AI in network management and cybersecurity efforts. “The adoption of AI in network management is widespread and growing, with enterprises recognizing its potential to enhance cybersecurity, automate routine tasks, and improve operational efficiency,” the report reads. An overwhelming majority (94%) of CIOs and CSOs have started implementing AI for network management, and 58% of those executives report the implementation is complete. Yet just 42% of network engineers reported their businesses have fully implemented AI for network management. Nearly two-thirds (63%) of network engineers report that AI has been integrated into their cybersecurity systems to some degree, and 28% say it has been fully integrated. Still, 70% of network engineers said they believe AI will enhance their organization’s ability to respond to cybersecurity efforts, with only 27% saying it will significantly reduce response times.

Network engineers report that they see the current and future value in using artificial intelligence for network management and cybersecurity purposes, according to new survey results, but they also anticipate more barriers to successful adoption than their C-suite counterparts.

Network technology provider Opengear surveyed some 513 CIOs and CSOs and 508 network engineers across the U.K., U.S., France, Germany, and Australia to learn more about how organizations are applying AI in network management and cybersecurity efforts. “The adoption of AI in network management is widespread and growing, with enterprises recognizing its potential to enhance cybersecurity, automate routine tasks, and improve operational efficiency,” the report reads.

An overwhelming majority (94%) of CIOs and CSOs have started implementing AI for network management, and 58% of those executives report the implementation is complete. Yet just 42% of network engineers reported their businesses have fully implemented AI for network management. Nearly two-thirds (63%) of network engineers report that AI has been integrated into their cybersecurity systems to some degree, and 28% say it has been fully integrated. Still, 70% of network engineers said they believe AI will enhance their organization’s ability to respond to cybersecurity efforts, with only 27% saying it will significantly reduce response times.

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Bitcoin (BTC) is known to be a volatile asset, but as of late, this is not the case; bitcoin has been trading in a very tight range since the end of November, between $91,000 and $109,000.
In other words, bitcoin’s volatility has compressed enormously. According to Glassnode data, the 2-week realized volatility, which provides of how turbulent the asset was in the past two weeks, measures volatility over the past two weeks annually, has dropped to an annualized 32%, one of the lowest levels in years. In addition, the options implied one-month volatility, which is the market’s expectation for volatility over four weeks, has slipped below annualized 50%, again one of the lowest levels in years.

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To put into context how much bitcoin has been in this sideways consolidation, consider what analyst Checkmate calls is the “Choppiness Index”. The data shows that bitcoin, on a weekly time frame, based on its choppiness, is at its highest level since 2015, which shows how tight this trading range has been.

Implied and realized volatility (Glassnode)
Volatility tends to mean-reverting, meaning an unusually stable market often paves the way for a big move in either direction and vice versa. The longer and tighter the consolidation, the violent the eventual volatility explosion.
To cut the long story short, the ongoing rangeplay, the most intense since 2015, could soon pave the way for wild price action. Bitcoin, at some point, will break out of this range; the question remains if it will go higher or lower.

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Shaurya Malwa
Shaurya is the Co-Leader of the CoinDesk tokens and data team in Asia with a focus on crypto derivatives, DeFi, market microstructure, and protocol analysis. Shaurya holds over $1,000 in BTC, ETH, SOL, AVAX, SUSHI, CRV, NEAR, YFI, YFII, SHIB, DOGE, USDT, USDC, BNB, MANA, MLN, LINK, XMR, ALGO, VET, CAKE, AAVE, COMP, ROOK, TRX, SNX, RUNE, FTM, ZIL, KSM, ENJ, CKB, JOE, GHST, PERP, BTRFLY, OHM, BANANA, ROME, BURGER, SPIRIT, and ORCA. He provides over $1,000 to liquidity pools on Compound, Curve, SushiSwap, PancakeSwap, BurgerSwap, Orca, AnySwap, SpiritSwap, Rook Protocol, Yearn Finance, Synthetix, Harvest, Redacted Cartel, OlympusDAO, Rome, Trader Joe, and SUN.

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