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Want AI? Here’s how to get your data and infrastructure AI ready

Discover how CIOs can build an AI ready solution and implement effective data management strategies.

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Want AI? Here’s how to get your data and infrastructure AI-ready

Your data is the pathway to AI-powered innovation and competitive differentiation. But there are key steps CIOs need to take as they work to build a holistic, AI-ready solution.

Artificial Intelligence (AI) is reshaping our world. In business, this puts CIOs in one of the most pivotal organizational roles today. CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient.

That’s a big role. And it’s getting bigger. AI and its unprecedented potential to transform business is skyrocketing a CIO’s impact and responsibility within an organization.

For CIOs, building an AI-enabled organization at scale can be challenging. However, organizations are more prepared than they might think, thanks to data they already have. The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.  And companies need the right data management strategy and tool chain to discover, ingest and process that data at high performance.

Without data, there is no AI, and breaking down these silos is the first step towards bringing AI to your data wherever it lives. Successful data management encompasses the ability to handle extreme data growth, regardless of data type and location, while managing the lifecycle of this data appropriately. Traditionally, data management and the core underlying infrastructure, including storage and compute, have been viewed as separate IT initiatives. For CIOs to set up their organizations for success and bring AI to their data, a more holistic view of IT infrastructure and data management is needed.

Building an AI-enabled solution

In today’s rapidly evolving IT environments, crafting an AI-ready solution can be a competitive advantage. Beyond the traditional considerations of speeds and feeds, forward-thinking CIOs must ensure their compute and storage are adaptable. That includes solid infrastructure with the core tenets of scale, security, and performance–all with optimized costs. This infrastructure must be suited to handle extreme data growth, especially with unstructured data. An estimated 90% of the global datasphere is comprised of unstructured data1. And it’s growing rapidly, estimated at 55-65%2 year-over-year and three times faster than structured data.

Unstructured data is often not AI-ready, yet it holds some of the greatest value for organizations. Data scientists and IT teams must work together to prepare all their data and make it actionable, leveraging scalable, high-performance infrastructure to drive AI forward. Once AI-optimized compute and storage have been established, CIOs can begin to implement a modern data lakehouse as part of their overall data management strategy. Data scientists and engineers spend nearly 80% of their time on data preparation3

rather than actual analysis. A modern data lakehouse empowers the utilization of open data formats and distributed datasets across core, edge, and multi cloud environments. This eliminates the hassles of data silos and makes data accessible for model training, analytics, and real-time inferencing.  As a result, data scientists and engineers can query their data across environments and gain AI insights faster.

Adopting real-time cyber protection

As CIOs design and architect AI-ready infrastructure, an underlying principle is data security. Cybercrime is on the rise and carries steep costs, estimated to reach $10.5 trillion by 20254  To date, approximately 76%5 of organizations have already experienced a ransomware attack. And now, attackers are specifically targeting unstructured data because of its sheer volume and the high-value information it holds.

To secure data and build resiliency in the face of a persistent and escalating threat landscape, CIOs must put security at the forefront of AI deployments. That mandates an end-to-end, multi-layered, dynamic cybersecurity approach.

At Dell Technologies, best practices begin with a comprehensive cybersecurity assessment through the lens of Zero Trust. Next, AI-driven threat and ransomware detection software is integrated into cyber protection solutions that allow organizations to analyze suspicious activity in real-time. If a threat is detected, then proactive responses kick in to minimize threat proliferation. In the unfortunate case of a cyberattack, cyber resiliency services help speed recovery time and rapidly restore operations.

Making AI a reality for your organization

When a modern, secure solution is established for data and AI, then at-scale deployments are possible. Today, only about 12%6 of organizations have advanced AI to the point of business transformation. At the same time, about 50%7 of organizations have shorter-term plans to do so. The stakes are high and those organizations that accelerate AI potential are poised to emerge as tomorrow’s leaders.

That’s why Dell Technologies is ready with in-house experts, a secure, AI-ready data platform, and an open ecosystem of partners to help enable and advance AI journeys. These capabilities he

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Artificial Intelligence

KASBA.AI Now Available on ChatGPT Store

ChatGPT Store by OpenAI is the new platform for developers to create and share unique AI models with monetization opportunities

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OpenAI, the leading Artificial Intelligence research laboratory has taken a significant step forward with the launch of the ChatGPT Store. This new platform allows developers to create and share their unique AI models, expanding the capabilities of the already impressive ChatGPT. Among the exciting additions to the store are Canva, Veed, Alltrails and now KASBA.AI with many more entering every day.

About OpenAI

OpenAI, founded by Elon Musk and Sam Altman, has always been at the forefront of AI research. With a mission to ensure that artificial general intelligence benefits all of humanity, they have consistently pushed the boundaries of what is possible in the field.

OpenAI’s ChatGPT has already changed the way we interact with technology with its ability to generate coherent and contextually relevant responses. Now, with the ChatGPT Store, OpenAI is aiming to empower developers and non technical users to contribute and build upon this powerful platform.

kasba.ai chatgpt store

What is the ChatGPT Store?

The ChatGPT Store is an exciting initiative that allows developers to create, share and in time monetise their unique AI models. It serves as a marketplace for AI models that can be integrated with ChatGPT.

This means that users can now have access to a wide range of specialised conversational AI models, catering to their specific needs. The ChatGPT Store opens up a world of possibilities, making AI more accessible and customisable than ever before.

chatgpt store

Key Features of the ChatGPT Store

Some unique features of the store include customisable AI models, pre trained models for quick integration and the ability for developers to earn money by selling their models.

Developers can also leverage the rich ecosystem of tools and resources provided by OpenAI to enhance their models. This collaborative marketplace fosters innovation and encourages the development of conversational AI that can cater to various industries and use cases.

Impact on Industries and Society

The launch of the ChatGPT Store has far reaching implications for industries and society as a whole. By making AI models more accessible and customisable, businesses can now leverage conversational AI to enhance customer support, automate repetitive tasks and improve overall efficiency.

From healthcare and finance to education and entertainment the impact of AI on various sectors will only grow with the availability of specialised models on the ChatGPT Store. This democratisation of conversational AI technology will undoubtedly pave the way for a more connected and efficient world.

Ethical Considerations

As with any technological advancement, ethical considerations are crucial. OpenAI places a strong emphasis on responsible AI development and encourages developers to adhere to guidelines and principles that prioritize user safety and privacy. The ChatGPT Store ensures that AI models are vetted and reviewed to maintain high standards.

OpenAI is committed to continuously improving the user experience, and user feedback plays a vital role in shaping the future of AI development. For specific concerns regarding AI and data protection visit Data Protection Officer on ChatGPT Store.

dpo chatgpt store

KASBA.AI on ChatGPT Store

One of the most exciting additions to the ChatGPT Store is KASBA.AI, your guide to the latest AI tool reviews, news, AI governance and learning resources. From answering questions to providing recommendations, KASBA.AI hopes to deliver accurate and contextually relevant responses. Its advanced algorithms and state of the art natural language processing make it a valuable asset to anyone looking for AI productivity tools in the marketplace.

Takeaway

OpenAI’s ChatGPT Store represents an exciting leap forward in the world of conversational AI. With customisable models, the ChatGPT Store empowers developers to create AI that caters to specific needs, with the potential to propel industries and society to new horizons..

OpenAI’s commitment to responsible AI development should ensure that user safety and privacy are prioritised; lets keep an eye here! Meanwhile as we traverse this new era of conversational AI, ChatGPT Store will undoubtedly shape the future of how we interact with technology in time to come with potentially infinite possibilities.

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Artificial Intelligence

With the Advent of Artificial Intelligence Money Laundering is a Real Threat

With the advent of AI economic offences such as money laundering have become a real threat

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Money laundering has become real threat with advent of tech, AI: SC

With the advancement of technology and Artificial Intelligence, economic offences such as money laundering have become a real threat to the functioning of the financial system of the country, the Supreme Court said on Monday while dismissing the bail plea of an accused.

Dismissing the bail plea of an employee of Shakti Bhog Foods Limited in a money laundering case, a bench of Justices Aniruddha Bose and Bela M Trivedi said economic offences have serious repercussions on the development of the country as a whole.

“With the advancement of technology and Artificial Intelligence, the economic offences like money laundering have become a real threat to the functioning of the financial system of the country and have become a great challenge for the investigating agencies to detect and comprehend the intricate nature of transactions, as also the role of the persons involved therein.

“A lot of minute exercise is expected to be undertaken by the investigating agency to see that no innocent person is wrongly booked and that no culprit escapes from the clutches of the law,” the bench said.

It said the economic offences need to be visited with a different approach in the matter of bail.

“The economic offences having deep-rooted conspiracies and involving huge loss of public funds need to be viewed seriously and considered as grave offences affecting the economy of the country as a whole and thereby posing serious threat to the financial health of the country,” the bench said.

The top court said when the detention of the accused is continued by the court, the courts are also expected to conclude the trials within a reasonable time, further ensuring the right of speedy trial guaranteed by Article 21 of the Constitution.

The apex court said the accused, Tarun Kumar, has to prima facie prove that he is not guilty of the alleged offence and is not likely to commit any offence while on bail.

“It cannot be gainsaid that the burden of proof lies on the accused for the purpose of the condition set out in the Section 45 (conditions for grant of bail) that he is not guilty of such offence. Of course, such discharge of burden could be on the probabilities, nonetheless in the instant case there being sufficient material on record adduced by the respondent showing the thick involvement of the appellant in the alleged offence of money laundering under Section 3 of the said Act, the Court is not inclined to grant bail to the appellant,” the bench said.

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Artificial Intelligence

Google Says AI Helped Beat Profit Expectations

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Google parent Alphabet says it remains committed to keeping costs in check, in another sign more layoffs are on the way at the tech titan.

Google parent Alphabet on Tuesday credited Artificial Intelligence with helping boost profits in the final quarter of last year.

Alphabet reported a profit of $20.7 billion on revenue of $86.3 billion, with strong  contributions from video-sharing platform YouTube and its cloud computing unit.

“Each of these is already benefiting from our AI investments and innovation,” Alphabet chief executive Sundar Pichai said in an earnings release.

Google ads brought in a total of $65.5 billion in the quarter, compared with $59 billion in the same period the prior year, according to the earnings report.

Ads served up at YouTube accounted for $9.2 billion in revenue, up from $8 billion in the final three months of 2022, earnings figures showed.

Some $9.2 billion was brought in by Google’s cloud computing unit, compared with $7.3 in the same quarter a year earlier.

The earnings come as Google, Microsoft, Amazon and other rivals competing in the hot field of AI face scrutiny from regulators in the US and Europe.

The US Federal Trade Commission recently launched a study of AI investments and alliances as part of an effort to make sure regulatory oversight can keep up with developments in artificial intelligence, and stop major players shutting out competitors in a field promising upheaval in multiple sectors.

“Our study will shed light on whether investments and partnerships pursued by dominant companies risk distorting innovation and undermining fair competition,” said Lina Khan, head of the Federal Trade Commission, in a statement.

One major concern is that generative AI, which allows for human-level content to be produced by software in just seconds, requires a massive amount of computing power, something that big tech companies are almost uniquely capable of delivering.

Amazon — through its Amazon Web Services arm — Microsoft and Google are the world’s biggest providers of cloud-based data centers, which store and process data on a vast scale, in addition to being some of the world’s richest companies.

Microsoft has moved the fastest in the generative AI revolution with a reported $13 billion investment in OpenAI, the creator of ChatGPT.

Artificial Intelligence More Layoffs?

In another sign that there may be more layoffs on the way at Alphabet, chief financial officer Ruth Porat said in the earnings report that the tech giant remained “committed to our work to durably reengineer our cost base as we invest to support our growth opportunities.”

Pichai earlier this month warned employees that more layoffs are in store at the search engine giant as it focused on new priorities, including artificial intelligence.

“These role eliminations are not at the scale of last year’s reductions, and will not touch every team. But I know it’s very difficult to see colleagues and teams impacted,” Pichai said in an email to staff seen by AFP on Thursday.

“Many of these changes are already announced, though to be upfront, some teams will continue to make specific resource allocation decisions throughout the year where needed, and some roles may be impacted,” he added.

Google laid off around 12,000 people this time last year, about six percent of its workforce, in the face of inflation and rising interest rates.

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