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Role of artificial intelligence in predictive data storage management – Digital Transformation News


By Pallav Agarwal

In in the present day’s data-driven world, managing huge quantities of info effectively is essential for companies to remain aggressive. As data continues to proliferate at an unprecedented fee, organizations are more and more turning to artificial intelligence (AI) to streamline their data storage processes. One space the place AI is making important strides is in predictive data storage management, revolutionizing how companies deal with their data infrastructure.

Predictive data storage management entails utilizing AI algorithms and machine studying methods to anticipate future storage wants, optimize useful resource allocation, and stop potential storage points earlier than they happen. 

Right here’s how AI is reworking this essential facet of data management:

Capability Planning: AI-powered predictive analytics allow organizations to forecast future storage necessities precisely. By analyzing historic data utilization patterns, AI algorithms can predict future storage wants based mostly on elements resembling progress traits, differences due to the season, and upcoming tasks. This foresight permits companies to scale their storage infrastructure proactively, stopping pricey downtime and efficiency bottlenecks.

Efficiency Optimization: AI algorithms constantly monitor and analyze storage efficiency metrics in actual-time. By figuring out patterns and anomalies, AI can optimize data placement, workload distribution, and caching methods to boost storage efficiency. This proactive strategy ensures that essential data stays accessible and responsive, even throughout peak utilization intervals.

Useful resource Allocation: AI-pushed predictive fashions assist organizations optimize useful resource allocation throughout their storage infrastructure. By dynamically allocating storage sources based mostly on workload calls for and priorities, AI ensures environment friendly utilization of storage capability whereas minimizing prices. This adaptive useful resource allocation technique improves general system effectivity and agility, enabling companies to fulfill evolving storage calls for successfully.

Predictive Upkeep: AI-powered predictive analytics can forecast potential storage failures earlier than they happen. By analyzing historic failure data and system telemetry, AI algorithms can detect early warning indicators of impending {hardware} failures or efficiency degradation. This proactive strategy to upkeep permits organizations to schedule repairs and replacements preemptively, minimizing downtime and maximizing system reliability.

Data Tiering and Lifecycle Management: AI algorithms can intelligently classify data based mostly on its worth, entry frequency, and retention necessities. By robotically tiering data throughout totally different storage tiers (e.g., SSDs, GPUs, cloud storage), AI optimizes storage prices whereas making certain that essential data stays readily accessible. Moreover, AI-pushed lifecycle management insurance policies automate data retention and archival processes, making certain compliance with regulatory necessities and minimizing storage litter.

In conclusion, the combination of artificial intelligence into predictive data storage management is revolutionizing how companies deal with their data infrastructure. By leveraging AI-powered predictive analytics, organizations can anticipate future storage wants, optimize efficiency, allocate sources effectively, proactively forestall points, and streamline data lifecycle management. As data continues to develop in quantity and complexity, AI will play an more and more pivotal function in enabling organizations to unlock the total potential of their data belongings.

The writer is founder and CEO, HTS Options Personal Restricted

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Texas’ fight against deepfakes: Preserving Democracy amidst rise of Artificial Intelligence in elections


TEXAS (KTRK) — In late April, a photograph surfaced on social media exhibiting Republican Texas Home Speaker Dade Phelan embracing Nancy Pelosi, a Democrat and former Speaker of the Home.

“Essential Voter Alert!” Phelan posted on his account simply weeks earlier than a runoff to retain his seat, together with two photographs. He cited a deepfake picture in which his face was superimposed over Democratic chief Hakeem Jeffries.


“Deepfakes” are elevating alarms in political circles, and campaigns and policymakers are working laborious to search out the stability between embracing Artificial Intelligence for its many advantages and containing its potential threats to democracy.

Ryan Kennedy research the intersection of public coverage and synthetic intelligence on the College of Houston.

He says AI has democratized the power to control media in three key methods: decrease price, elevated scale, and larger personalization.

“Effectively, there’s quite a bit of issues in regards to the use of synthetic intelligence to generate misinformation,” Kennedy instructed ABC13. “So policymakers must chart this very tough course between encouraging the event of what are fairly helpful applied sciences, whereas on the similar time ensuring that they are not put to dangerous use for voters.”

Texas was the primary state in the nation, and now one of 11, to legislate against so-called deepfakes. State Senator Bryan Hughes of Tyler authored the invoice and it handed in 2019.

“It is about deepfake movies in explicit,” Hughes mentioned. “State governments are grappling with what to do about it. We do not wish to regulate this in a method that stifles innovation and free speech. We additionally wish to make sure that the general public is just not being misled.”

In Texas, the regulation prohibits the use of a deepfake video inside 30 days of an election. The offense is a Class A misdemeanor punishable by a wonderful of as much as $4000 and a 12 months in jail. Hughes says it is an evolving panorama, and with committees finding out AI this summer season, he expects extra laws subsequent session.

“Artificial intelligence is all over the place,” Hughes mentioned.

It’s all over the place. Earlier this 12 months, the New Hampshire Lawyer Basic despatched a stop and desist letter to a Texas telecom firm for enabling AI-generated deepfake robocalls forward of the New Hampshire Major in which a Joe Biden’s voice instructed voters to remain house, not vote for him then however to avoid wasting their votes for November.

New York Mayor Eric Adams embraced AI to translate his voice into different languages he doesn’t communicate in telephone calls to constituents.

The Royal Household just lately took a credibility hit for altering {a photograph} of Princess Catherine and her youngsters earlier than revealing her most cancers analysis.

A latest report from the non-profit Heart for Countering Digital Hate revealed simply how simple it’s to supply pretend photographs of candidates in politically damaging conditions or efforts to undermine election integrity.

From ballots in dumpsters and election employees rigging machines to Donald Trump being arrested and Joe Biden greeting immigrants on the border.

Darrell West, Senior Fellow at The Brookings Establishment in Washington, mentioned democracy is on the road.

“Individuals needs to be very frightened about misinformation in this marketing campaign,” West mentioned. “We have democratized the expertise by making it out there to just about anybody. You do not want quite a bit of technical experience to do that. We’ll see pretend movies and faux audio tapes in this marketing campaign.”

They’re on the market, whether or not video, audio, or photographs, it is as much as you, the voter, to take the additional step and ensure the deception your self. It is one other layer between you and the poll field.

“Individuals must be good shoppers of information data,” UH’s Kennedy mentioned. “They should perceive that what they see on their social media feed is just not essentially the reality.”

Present regulation in Texas doesn’t prohibit the use of deepfake photographs in a marketing campaign however that may very well be altering. Anticipate extra dialog in Austin and on Capitol Hill as lawmakers stability free speech with election interference.

Keep on the heartbeat of Texas politics! Observe Tom Abrahams on Facebook, Twitter and Instagram.





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The rise of AI in recruitment course of: How companies are using artificial intelligence for hiring


New Delhi: Your job software might get rejected earlier than it reaches a human for evaluate.Companies throughout sectors are using artificial intelligence instruments, together with generative AI, for candidate sourcing, resume screening, abilities evaluation, predictive analytics and bias discount in their recruitment course of. People get entangled solely from the interview stage at some companies, whereas at some others, GenAI bots assist managers conduct interviews.

Whereas there are a number of considerations, starting from knowledge privateness to threat of discrimination and incapability to find potential in candidates, HR executives say AI is making the hiring course of faster and extra environment friendly for them.


Skilled companies agency Genpact just lately launched IMatch, a GenAI-based in-house resume parsing and job-matching engine.

Protecting 40% of its new hires, AI instruments have made the hiring course of touchless until the interview stage, stated Ritu Bhatia, Genpact’s international hiring chief. Use of AI has resulted in a 15% improve in recruiter productiveness, and an enchancment in the pace to rent from 62 days to 43, Bhatia added.

Improved Productiveness for Cos

AI instruments assist analyse historic knowledge, market developments and inner expertise metrics, permitting companies to achieve insights into rising ability calls for and expertise availability, and develop recruitment methods to deal with present and future expertise wants.

Simplilearn has been deploying ChatGPT — amongst different AI instruments — for over a 12 months to optimise job descriptions, craft proficiency assessments and conduct psychometric checks. “This permits us to scale back time on mundane duties and enhance productiveness and effectivity,” stated the edtech agency’s chief HR officer, Archana Krishna.

In accordance with Rajesh Bharatiya, chief govt of recruitment companies supplier Peoplefy, GenAI-based instruments assist customise the method; for occasion to ship a recruitment mass mailer based mostly on every candidate’s distinctive experiences and background. “Such customisation might require 10 occasions extra time to customize manually,” he stated.

Infrastructure improvement agency Welspun Enterprises makes use of a GenAI bot that assists its executives in taking interviews. “Our hiring efficiencies have improved drastically. Earlier than using the GenAI bot for interviewing, our choice ratio was 15%. Now this charge has elevated to 55%, a 40% bounce in my choice charge in a single day,” chief HR officer Rajesh Jain stated, including: “That is large.”

Nevertheless, on the present stage of its improvement, specialists consider there are sure pitfalls related to deploying AI in hiring practices.

These embody moral issues about knowledge privateness, algorithmic transparency and the danger of discrimination, lack of mushy abilities analysis, bias amplification, and incapability to find potential.



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