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Alkira connects with $100M for a solution that connects your clouds – TechCrunch

As annual spending on cloud computing surges toward the $1 trillion mark, were seeing a wave of enterprise startups gaining traction with customers and investors as they build tools to help manage that usage.

In the latest development, a startup called Alkira has raised $100 million for its network infrastructure as a service, which lets users virtualize and orchestrate hybrid cloud assets, and manage them as a whole.

Tiger Global Management, a new investor in the startup, is leading this Series C. Other new investors, NextEquity Partners and Geodesic Capital, as well as previous backers Dallas Venture Capital, Sequoia Capital, Kleiner Perkins and KDT (Koch Disruptive Technologies) also participated in the round.

Alkiras CEO, Amir Khan, did not disclose the startups valuation, but said that its certainly an up-round. PitchBook estimates that Alkira was last valued at $234 million, although that dates from a funding round back in 2020, and the company has grown since then. Its customers come from a range of verticals like industry (Koch is a strategic investor in the firm), financial services (S&P) and media (Warner Music), and the company has raised $176 million to date.

Alkira is addressing one of the thornier aspects of the cloud revolution. Customers typically adopt a hybrid approach to cloud networking to hedge their bets, get the most competitive pricing by region, and lean into flexible arrangements, using multiple vendors, and in many cases, running private, public and on-premises servers in tandem depending on their needs.

The problem with that, though, is that buying, implementing and managing that plate of spaghetti can prove to be an indigestible nightmare. The spike in the popularity of AI-based applications, which might require even more compute and resources, is certainly exacerbating this issue, but this is a problem that has persisted for years and will continue to, regardless of whether AI is here to stay.

As Khan described it to me, with Alkira, end-users can negotiate and manage their own compute deals, but they can hand over the designing of those deals to Alkira. The company essentially integrates all those disparate services behind the scenes so that they can be managed and viewed as a single service kind of orchestrating and virtualizing an organizations infrastructure on a grand scale. Alkira can support integration with all major cloud providers, Khan told me.

The startup offers a range of services around that integrated, network-as-a-service experience: Cloud backbone as a service (aimed at hyperscalers and heavy activity); extranet as a service (end-to-end connectivity for customers and third parties, created when needed to interface with an organizations core network); cloud insights (visibility services for ops personnel); and secure connectivity (secure remote VPN access).

Khan claims that running a companys network assets through Alkira can cut down years of integration and management work into hours.

One customer, he said, faced a mess of day-to-day troubleshooting, visibility, and routing controls. Everything was so tedious, and it took them two years to build that system In our first meeting with them, sitting in a conference room with them in Reno, Nevada, we were able to replicate all that work in four hours.

Out of that meeting, they won not just the business pitch, but an investor: The end user was Koch Industries.

Khan co-founded Alkira with his brother Atif (the CTO). The two have years of experience working in the world of telecoms a wonderful training ground, it turns out, for the incredible fragmentation of todays cloud computing landscape. (Alkira is an Aboriginal word roughly meaning bright, blue sky, a reference to clearing up the darkness of todays clouds.)

They previously founded another startup that was closer to that legacy networking space: Viptela, which specializes in software-defined wide area networking, and was acquired by Cisco for $610 million in 2017.

This new turn into cloud computing puts Alkira up against a completely different wave of would-be competitors, though the very biggest players, like AWS, Azure and Google, are yet to make significant progress in working together. That leaves a wide opening for third-party players to do the stitching and virtualizing for them.

Its interesting to see Tiger Global leading this round. The firm is still investing, although as you can see by the table below that its activity has really dropped off a cliff in the last two years. That context makes this deal all the more significant.

The combination of a proven track record and obvious market opportunity seemingly got Tiger over the line on this one.Increasing cloud and AI use is also increasing the complexity, velocity, and scale requirements of network infrastructure, said Rohit Iragavarapu, an investor at Tiger Global, in a statement.We believe Alkira is well-positioned to unlock the growing potential of this rapidly evolving space with its visionary approach, market traction and cutting-edge technology.

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Microsoft offers overseas transfers to China-based cloud and AI staff amid geopolitical tensions – SiliconANGLE News

Microsoft Corp. has reportedly asked hundreds of employees in its cloud-computing and artificial intelligence operations in mainland China to consider transferring outside of the country amid growing geopolitical tensions, but exactly how many staff may have been asked is uncertain.

The story originally comes from The Wall Street Journal, which references people familiar with the matter claiming that about 700 to 800 employees, mostly engineers with Chinese nationality, were offered the opportunity to transfer to countries that include the U.S., Ireland, Australia and New Zealand.

The offers to move reportedly were made earlier this week and employees given until early June to make up their minds. Employees who dont wish to leave can remain in China.

Although it appears that Microsoft may have indeed asked some employees to consider transfers to Western countries, how many were asked is disputed. Pandaily, which is based in China and covers the countrys tech scene, reportedthat Microsoft in China told reporters that only a small number of employees have been given the opportunity to choose international rotation and that reports about its AI team packing up and going to America were exaggerated and untrue.

Exactly what Microsofts plans are in mainland China may be subjective, but the company certainly appears not keen on growing its presence in the Middle Kingdom. The South China Morning Post reports that Microsoft has stopped hiring in China and will not have anynew job openings.

The same SCMP report also notes that any reallocations are not unique, as Microsoft already moved some of its top AI researchers last year from China to a new research lab in Vancouver, Canada. Microsoft said at the time that the Vancouver lab would be staffed by researchers from offices worldwide, including China.

What is clearly true is the growing geopolitical tensions between the U.S. and China. Only in the last week, the Biden administration slapped major new tariffs on Chinese electric vehicles, advanced batteries, solar cells, steel, aluminum and medical equipment. The tariffs are meant to counter alleged Chinese government subsidies that give Chinese companies an unfair advantage in international trade.

American workers can outwork and outcompete anyone as long as the competition is fair, President Biden said in the White House Rose Garden earlier this week. But for too long, it hasnt been fair. For years, the Chinese government has poured state money into Chinese companies its not competition, its cheating.

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Interview: Google Cloud’s Zac Maufe on the use of Cloud Services in the banking industry – Retail Banker International

At Google Clouds biggest event of the year, Google Cloud Next, Google Cloud made a number of announcements with financial services leaders as they modernise their technology stack, migrate to the cloud at scale and deploy gen AI experiences.

The event reflects the growing importance of cloud services in financial services. By harnessing the power of cloud technology, data, and AI, financial institutions are creating better, more personalised and connected banking experiences that seamlessly blend with their consumers financial needs.

Zac Maufe (ZM): Cloud computing is a key enabler of transformation, helping financial institutions scale applications and services more efficiently and quickly than they could on their own bespoke servers and in physical data centres. With the cloud, banks are accelerating their modernisation strategies and unifying data across the enterprise, enabling them to grow their business, build new products, and mitigate risk by gaining insight from the huge amount of data they have.

Generative AI has ushered in an entirely new era of digital transformation for the financial services industry, piquing the interest of business leaders, who are increasingly recognising its potential to transform their operations and gain a competitive edge. As the enterprise shifts from gen AI experimentation to execution, were seeing more pilots move to full-scale production. Gen AI can be used to analyse data and generate insights that can help financial institutions make better decisions. It can help banks improve customer service, increase their efficiency and employee productivity, reduce their costs, and develop new and more personalised products and services.

ZM: We made a number of significant announcements with key Financial Services customers during Google Cloud Next 24. Citadel Securities is using Google Cloud to build the next generation of its quantitative research platform, increasing its research productivity and price-performance ratio. Discover Financial Services is bringing gen AI capabilities to nearly 10,000 contact centers agents to improve productivity through intelligent document summarisation, real-time search assistants, and enhanced self-service options. The new capabilities began rolling out in early 2024 and early results show that agents can reduce call handle time and improve policy and procedure search time by as much as 70%.

Scotiabank is leveraging Google Cloud technology to enhance client and employee experience, strengthen Bank security, and adopt gen AI more quickly. The Bank is using Vertex AI to build an LLM-powered chatbot for improved customer experience, and a LLM-powered Q&A and search for employees providing access to tailored knowledge and streamlining workflows. TD Bank is using Google Cloud infrastructure and top engineering talent to drive new levels of agility, customer-centricity, and engineering innovation, including an expanded relationship on the success of TD Securities Automated Trading using Google Clouds high performance GKE capabilities to adapt and quickly respond to changing market and client needs in a fast-paced investment environment.

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ZM: Banks continue to look for ways to improve the customer servicing experience. Google Cloud works with banks of all sizes to create and deliver compelling experiences for consumers. Banks are leveraging Google Clouds leading AI technologies for a variety of use cases, from providing personalised financial recommendations tailored for financial wellness to reducing fraud and mitigating financial risk for customers and the banks themselves.

One of the top use-cases were seeing that impact the day-to-day banking experience is Enhanced virtual assistants. This helps customers get accurate answers at speed and scale with less human intervention, by summarising conversations, and automating tasks. Another case use case is personalised financial recommendations, which Improves cross-sell and retention strategies through one-to-one instead of one-to-many messaging. Tailoring financial product recommendations via conversational language that is hyper-personalised and reinforces a you know me experience.Thirdly, Financial document search and synthesis. This transforms the home loan experience for borrowers and lenders by automating mortgage document processing reducing the processing time and streamlining data capture while supporting regulatory and compliance requirements.

ZM: Customers have become comfortable with interacting with chatbots and can use chatbots to interact with banks while completing other tasks. But, some chatbots remain rules-based and cannot address more complex questions. This is where generative AI can help customers get the answers they need. It excels in finding answers in vast amounts of data, summarising them, and assisting live customer agents or supporting existing AI chatbots.

In addition to the need for advanced AI technology to improve the chatbot experience, another factor that must be considered in the equation as more banking moves online is that of the customer agent. Live customer agents will continue to play an important role in helping customers with complex transactions.

A good example of this in practice is Discover Financial Services. Discover Financial Services is using Google Clouds AI platform, Vertex AI, to empower its nearly 10,000 contact center agents with generative AI-driven tools with capabilities that can help analyse and summarise complex policies and procedures, providing agents with information at their fingertips to answer customer needs. The platform is also providing agents with natural language real-time search assistance to give them access to vast knowledge bases they can refer to during live interactions, enabling them to provide consumers with a superior customer experience.

ZM: According to Google Clouds banking survey, the next generation of banking consumers are comfortable with AI and emerging cloud technology. 45% of millennials and Gen Z respondents aged 18-44 said they were either somewhat comfortable or very comfortable with gen AI-powered applications if they provided better customer experiences.

We are moving to a stage of adoption where consumers are embracing technology that makes their everyday life easier. According to the survey, AI-driven experiences such as smarter, more helpful AI chatbots (20%), faster and automated credit card application and approval (18%), and a 360-degree view of financial portfolios (16%) were among the top experiences that consumers of all age groups would like to see their banks improve or add. We think this sentiment will continue to increase as banks roll out more personalised experiences.

ZM: Google Cloud is making significant investments in the financial services industry vertical. Our goal is to make Google Cloud the platform of choice for the financial services industry. We are combining the same globally scalable Google infrastructure and technology that powers Search, YouTube, Gmail and others with the specialised capabilities of the worlds leading financial services firm. At the core these services are powered by secure and sustainable infrastructure, data analytics, and AI and machine learning.

We work with financial services companies across the banking, capital markets, insurance, and payments industries. We signed several partnerships and expanded existing ones with firms including Wells Fargo, Deutsche Bank, HSBC, KeyBank, ScotiaBank, TD Bank, Arvest Bank, PayPal, Global Payments, Coinbase and more.

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AI-driven attacks seen as chief cloud security threat – TechTarget

Fear of AI-powered attacks has some organizations concerned about their cloud security postures, according to a Palo Alto Networks report published Wednesday.

The report, titled "The State of Cloud Native Security," includes the results of a survey of 2,800-plus infosec professionals who self-reported as knowledgeable of their organization's cloud infrastructure or cloud security and were either executive leadership or relevant security, IT or development practitioners.

Some of the most notable findings in the survey involved generative AI, a technology that has continued its ascent in the public consciousness since OpenAI launched ChatGPT to the public in fall 2022. According to the report, 43% of respondents predicted AI-powered threats will evade traditional defense techniques to become a more common threat vector, while 38% of respondents ranked AI-powered attacks as a top cloud security concern.

Perhaps more surprising results were related to the biggest concerns in cloud security from a threat perspective. Risks introduced by AI-generated code came in first place with 44%, while AI-powered attacks in third. Recent research has shown that generative AI tools such as GitHub Copilot can replicate vulnerabilities and insecure code in existing code bases.

Meanwhile, API risks came in second, inadequate access management came in fourth, and unknown/unmanaged assets came in seventh. This is all despite many experts who say generative AI is a nascent tool in the threat landscape, while the listed non-AI issues are resulting in swaths of cyberattacks here and now.

To this point, Palo Alto reported that cloud security incidents were on the rise, with data breaches reported by 64% of organizations. Forty-eight percent of organizations reported an increase in compliance violations, 46% reported having insecure APIs and 45% reported operational downtime caused by misconfiguration.

Amol Mathur, senior vice president and general manager of Prisma Cloud at Palo Alto Networks, told TechTarget Editorial that customers' concerns regarding AI threats speaks to the emerging nature of generative AI technology.

"The sense I get is that they're not saying that these issues are less important than AI threats," Mathur said. "It's more that people are more fearful of things they don't truly understand. When it comes to misconfigurations, identity, vulnerabilities, they have good programs and tools in place to give them the visibility and orchestration and so on. AI is an area that most people just don't understand the potential impact."

The report stated that 100% of surveyed organizations embraced AI-assisted coding to some extent. Mathur said that while generative AI can allow organizations to code and innovate faster, the use of AI in development has already led to vulnerabilities and poorly written code.

IBM and Amazon Web Services published a joint report last Monday at RSA Conference 2024. They found that while 82% of surveyed C-suite executives acknowledged the importance of trustworthy and secure AI, only 24% included a security component in their generative AI-related products.

"The question is, do people understand that just because it's generated by AI doesn't mean that it's secure?" Mathur said. "It's one thing when you're using a model or an app from a very well-established firm out there, though even that could go wrong. But there are also open source LLMs out there. People are using all sorts of stuff. What [is] that LLM trained on? Sure, you can move fast. You can get all this this software out quickly. But what's the risk?"

Mathur said cloud-centric defenders on a whole are getting better at avoiding issues such as identity threats and misconfigurations. But he also said those problems remain common, and there's still a long way to go.

"There are still organizations using fragmented visibility and fragmented tools that don't share context and don't talk to each other," he said. "It has gotten better, but these issues have not gone away. We still see a ton of issues in data, identity and misconfiguration."

Alexander Culafi is a senior information security news writer and podcast host for TechTarget Editorial.

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Amazon cloud division head unexpectedly steps down – ETCIO

Adam Selipsky The head of Amazon's AWS cloud computing business, Adam Selipsky, who was helping lead the company's expansion into AI, told workers he was stepping down Tuesday.

Amazon Web Services is a key subsidiary of the tech giant, having made $25 billion worldwide in the first quarter, capitalizing on the growing appetite among businesses for remote computer and artificial intelligence services.

In a memo to staff, Selipsky said he was leaving with "mixed emotions," but "given the state of the business and the leadership team, now is an appropriate moment for me to make this transition."

Selipsky was promoted to the leadership of AWS in 2021, replacing Andy Jassy, who took over the reins of the entire Amazon juggernaut when founder Jeff Bezos stepped down as CEO.

"Matt has an unusually strong set of skills and experiences for his new role," said Amazon CEO Jassy.

A pioneer of e-commerce, Amazon also dominates the cloud. AWS had 31 percent of the cloud computing market at the end of 2023, according to Stocklytics.

But rivals Microsoft and Google are gaining ground with their cloud businesses, with 24 percent and 11 percent market share respectively.

The race has become particularly heated since the deployment of ChatGPT-style artificial intelligence that the cloud companies are offering to clients who want to buy into the AI revolution.

AWS in April cut hundreds of jobs, particularly in sales and marketing, to better focus on AI and other priorities.

But Selipsky told AFP in an interview on April 13 that AI has not replaced any of the cloud platform workers.

"AWS has thousands of job postings online today, and yesterday, and the day before, and we will also have (them) tomorrow," he said.

arp/nro

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Smart Contracts in Healthcare Market to See Huge Growth by 2030 | Intellectsoft, Sumatosoft, Eleks, Leeway Hertz – openPR

Smart Contracts in Healthcare

Get Free Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/120580-global-smart-contracts-in-healthcare-market?utm_source=OpenPR&utm_medium=Vinay

Major players profiled in the study are: HashCash Consultants (United States), Sumatosoft (Belarus), Eleks (Ukraine), Solulab Inc (United States), Cyber Infrastructure Inc (United States), Intellectsoft (United States), Leeway Hertz (United States), Quest Global Technologies (India), S-pro (Ukraine)

Scope of the Report of Smart Contracts in Healthcare Smart contracts define laws and penalties around an agreement and automatically enforce those applications which are kept in public databases which are used in the healthcare sectors to digitally facilitate the verification or performance of the contract. Various smart contracts work independently and are also implemented together. The major advantages of smart contracts are decreasing transaction risk, improving business process efficiency, and decreasing management and service cost.

In January 2019, CortexLabs.ai, a provider of Blockchain technology, partly launched an AI-based Blockchain technology named AI Smart Contract TestNet. This launch provides a new Al platform to CortesLans.ai. The platform allows the end-users to upload their Al models and integrate them with smart contracts on the Blockchain.

The Global Smart Contracts in Healthcare Market segments and Market Data Break Down are illuminated below: by Application (Patient Data Management, Clinical Data Exchange and Interoperability, Claims Adjudication and Billing Management, Electronic Health Records (EHRs), Supply Chain Management, Others), Blockchain Platform (Bitcoin, Ethereum, Sidechains, NXT), End User (Pharmaceutical Companies, Healthcare sectors, Others)

Market Opportunities: Surging Healthcare Industries in Emerged and Emerging Economies Creates Lucrative Opportunities for Smart Contracts in Healthcare

Market Drivers: Rising Demand from Insurance Agencies for Smart Contracts in Healthcare Increasing Data Breaching Sites, especially in Healthcare Industry

Market Trend: Rising usage of Smart Contracts to reduce the cost of Healthcare

What can be explored with the Smart Contracts in Healthcare Market Study? Gain Market Understanding Identify Growth Opportunities Analyze and Measure the Global Smart Contracts in Healthcare Market by Identifying Investment across various Industry Verticals Understand the Trends that will drive Future Changes in Smart Contracts in Healthcare Understand the Competitive Scenarios - Track Right Markets - Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Smart Contracts in Healthcare Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/120580-global-smart-contracts-in-healthcare-market?utm_source=OpenPR&utm_medium=Vinay

Strategic Points Covered in Table of Content of Global Smart Contracts in Healthcare Market: Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Smart Contracts in Healthcare market Chapter 2: Exclusive Summary - the basic information of the Smart Contracts in Healthcare Market. Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Smart Contracts in Healthcare Chapter 4: Presenting the Smart Contracts in Healthcare Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis. Chapter 5: Displaying the by Type, End User and Region/Country 2016-2022 Chapter 6: Evaluating the leading manufacturers of the Smart Contracts in Healthcare market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2024-2030) Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Smart Contracts in Healthcare Market is a valuable source of guidance for individuals and companies.

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Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

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About Author: Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies' revenues. Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enables clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.

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What Is Chainlink (LINK) And Should It Be In Your Crypto Portfolio? – UseTheBitcoin

Chainlink (LINK) is a cryptocurrency project that aims to bridge the gap between blockchains and the real world by providing a decentralized oracle network. An oracle is simply a computer (a node) that gathers data from different sources and then sends it to a smart contract that needs this data on the blockchain.

The project aims to enable smart contracts to interact with real-world data and events. This unlocks a wider range of applications for blockchain technology, such as DeFi, supply chain management, and the Internet of Things (IoT).

Chainlink (LINK) is a decentralized oracle network, acting as a middleman between blockchains and the real world. Heres a breakdown of how it works:

Smart contracts, which are self-executing programs on a blockchain, cant directly access external data. Instead, they initiate a request through the Chainlink network to interact with real-world information. This request specifies the type of data needed and the desired security level.

Chainlink does not rely on a single data source. Instead, it utilizes a decentralized network of oracles. These oracles are independent entities responsible for retrieving data from external sources like APIs or web servers:

Based on the request and reputation scores, Chainlink selects a set of oracles to retrieve the data. Each oracle independently fetches the data from the designated source.

The retrieved data from different oracles is sent back to Chainlink. Chainlinks smart contracts, called aggregation contracts, play a crucial role here:

Once the data is aggregated and secured, the final, reliable data point is delivered back to the smart contract requesting it on the blockchain. Based on the received data, the smart contract can then proceed with its programmed actions.

LINK tokens are used to pay oracles for their data retrieval services. The requesting smart contract pays in LINK, and the network distributes the fees among the participating oracles.

This process ensures that smart contracts can securely access and leverage real-world data for their operations, enabling a more comprehensive range of functionalities within the blockchain ecosystem.

The LINK token is Chainlinks native cryptocurrency. It is used for:

Token Details

Total Supply 1,000,000,000 LINK

Circulating Supply 587,099,970 LINK

Current Price $15.00

Market Capitalization $8,811,260,156

This information is current as of May 17th, 2024, and the tokens price, market value, and available supply may fluctuate.

Binance Binance is a major exchange offering a wide range of cryptocurrencies. It offers multiple ways to buy crypto, including credit cards, debit cards, and peer-to-peer (P2P) trading.

Bybit This exchange is known for its derivatives and margin trading features, but you can also use the platform for spot trading.

Coinbase Coinbase is an American-based cryptocurrency exchange that allows you to buy cryptocurrencies using various payment methods, including bank transfers, debit cards, and wire transfers.

Pros

Cons

Whether Chainlink (LINK) is a good investment depends on your risk tolerance and goals. Remember, this guide only provides a starting point for your research. Always conduct your due diligence before making any investment decisions.

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Internet Computer Protocol’s Year 4 Roadmap Highlights AI and Blockchain Integration – FinanceFeeds

Since its launch in May 2021, the Internet Computer blockchain has been marked by zero downtime, processed over three billion blocks, and locked more than $3 billion in the Network Nervous System (NNS) DAO.

According to Electric Capital, the number of developers in the ICP ecosystem increased 12x between 2020 and 2023, despite the mainnet launching only in May 2021.

The Internet Computer Protocol (ICP), a decentralized blockchain network designed to extend the functionality of Web3 by addressing the limitations of traditional blockchains and smart contracts, has released its Year 4 Internet Computer Roadmap on the occasion of the 3rd anniversary of its mainnet launch. This new roadmap encapsulates three years of progress and outlines key development areas aimed at positioning ICP as a leader in Decentralized AI and as a central orchestration layer for the blockchain industry.

Since May 2021, the Internet Computer blockchain has maintained a perfect uptime record, processed an impressive three billion blocks, and secured over $3 billion in value within its Network Nervous System (NNS) DAO. This DAO is instrumental in governing the Internet Computer Protocol, ensuring its smooth operation and evolution. The growth of the developer community within the ICP ecosystem has been equally remarkable. Electric Capital reports that developer numbers have surged 12x from 2020 to 2023. In addition, ICP hosts some of the most widely used applications in the cryptocurrency space, including DMail, DSCVR, and OpenChat.

The roadmap for ICPs fourth year highlights several significant areas of focus, with Decentralized AI and Chain Fusion standing out as major themes.

Dominic Williams, Founder and Chief Scientist of the DFINIY Foundations says, The Internet Computer is the first and only Third Generation public blockchain. The mission is to drive a blockchain singularity, where over time fully decentralized blockchains become the worlds prevailing tech stack, even running secure and unstoppable AI. The DFINITY Foundation and its eminent team of cryptographers, research scientists and engineers, is now pushing ahead with a new roadmap, crafting contributions that will make the network faster, more efficient and more powerful than ever before.

Decentralized AI

The Decentralized AI (DeAI) roadmap for ICP sets out a vision where AI models can be both trained and run directly on-chain. In the current landscape, AI models often function as opaque black boxes, providing little insight into how data is used or how the models generate their responses. This lack of transparency can lead to issues regarding trust and reliability. ICP aims to tackle these challenges through its advanced computational power and sophisticated smart contract capabilities.

Milestone 1:

Milestone 2:

Achieving these milestones will open the door to several innovative use cases, such as:

ICPs initiative to bring AI on-chain and offer users and developers trustworthy AI models is not a recent development. In July last year, the DFINITY Foundation, a Swiss non-profit and major contributor to the Internet Computer blockchain, launched a $5 million decentralized artificial intelligence (DeAI) grant program to support Decentralized AI on the Internet Computer blockchain. Several innovative AI projects, including Kinic, DecideAI, ELNA AI, ICGPT, and Earthstream, are already building on ICP.

Chain Fusion is another key highlight in ICPs Year 4 roadmap. This initiative aims to facilitate direct interoperability with major blockchains such as Bitcoin, Ethereum, other Ethereum Virtual Machines (EVMs), and soon Solana, without the need for intermediaries. This direct interoperability will allow developers to create smart contracts that span multiple chains, effectively addressing the fragmentation of liquidity and reducing tribalism within the blockchain industry. The development plan for Chain Fusion includes several critical milestones:

Milestone 1:

Milestone 2:

Milestone 3:

The Internet Computer Protocol (ICP) is a decentralized cloud 3.0 protocol designed to enable developers to build and run services and enterprise systems directly on a public blockchain network with unprecedented scalability. Services running on ICP are tamper-proof and can interact with the outside world in a trustless manner, whether with traditional Web 2.0 services or other blockchains. This fast, low-cost, and energy-efficient protocol sets a new standard for how decentralized networks operate within Web3.

ICP aims to create a more transparent and reliable AI ecosystem by leveraging its computational power and smart contract capabilities. The Decentralized AI roadmap and Chain Fusion initiative are significant steps towards achieving this vision. By providing robust support for AI and facilitating seamless interoperability between major blockchains, ICP is poised to become a cornerstone of the decentralized web.

The Year 4 Internet Computer Roadmap reflects three years of significant progress and lays out a clear path for the future of the Internet Computer blockchain. With a focus on Decentralized AI and Chain Fusion, ICP aims to address key challenges in the blockchain industry and establish itself as a leader in the decentralized web. By achieving the milestones outlined in the roadmap, ICP will enable a range of innovative use cases and create a more interconnected and transparent blockchain ecosystem. As ICP continues to grow and evolve, it will play a crucial role in shaping the future of Web3 and decentralized technologies.

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Combination of Computer Science Degree, Certificate in Cybersecurity Broadens Career Options for Graduate – News … – University of Arkansas at…

Benjamin Miller developed a passion for computer science and technology as a teen growing up in Cabot, Arkansas. That interest ultimately led him to pursue a bachelors degree in computer science and a Certificate of Proficiency in Cybersecurity at the University of Arkansas at Little Rock.

My interest in computer science started back in high school when I realized how much I enjoyed working with computers and technology, Miller explained. I took a few engineering classes, but it was a digital electronics course in my senior year that really sparked my passion.

The course gave him a better understanding of digital systems and made him curious to learn more about computer science.

As I explored the field more, I saw that computer science combined creativity, logic, and innovation in a unique way. Miller said. I was excited by the idea of using technology to solve real-world problems and make a positive impact on peoples lives. Plus, with technology advancing so quickly and computer science becoming more important in so many industries, I knew that pursuing this field would open a lot of opportunities for me.

Miller also cultivated an interest in coding and building computers, which he explored during his second semester at UA Little Rock.

It was during this time that I discovered my enthusiasm for cybersecurity, he said. After taking an introductory course and a digital forensics class as electives, I found myself captivated by the content, tools, and subject matter. This newfound passion inspired me to earn a Certificate of Proficiency in Cybersecurity.

Miller sought out practical, hands-on experience that has contributed to his growth and development in his areas of study.

As a freshman, I secured employment in the Cyber Arena and Emerging Analytics Center during my second semester, he said. This opportunity has been invaluable, enabling me to expand my knowledge and skills in both cybersecurity and computer science.

The experience has allowed him to explore these fields in depth, build programs, and apply his knowledge to real-world scenarios.

The Cyber Arena has been an invaluable resource for me, offering experiences that I wouldnt have had access to in a traditional classroom setting, Miller said.

Over the last three semesters, he collaborated with friends on various class projects.

These experiences have not only enhanced my learning but have also allowed me to form meaningful friendships that I wouldnt have had otherwise, he said. Working together on these projects has taught me the value of teamwork, communication, and problem-solving in a collaborative environment.

The Department of Computer Science has designed certificate programs to both allow students pursuing a bachelors degree to earn stackable and complementary credentials and to serve working adults seeking to change careers or upskill in their current jobs, said Dr. Albert Baker, department chair.

It is very encouraging to have our current students taking advantage of certificate opportunities in the way that Ben has, Baker said. The combination of a B.S. in computer science and a certificate in cybersecurity will assuredly open up exciting and lucrative career opportunities for him.

Throughout his academic journey, Miller said his parents, Billy and Sarah Miller, have been incredibly supportive and instrumental in his success.

My father, who works in the cybersecurity industry, has been particularly helpful in exploring the fields of computer science and cybersecurity with me, he said. Dr. Sandra Leiterman and Dr. Philip Huff, leaders in the UA Little Rock Trojan Cyber Arena, have offered encouragement and assistance in navigating challenges with classes.

Miller added that Chris Newton, a pastor at New Life Church in Cabot, has been a pillar of support, always ready to lend an ear and provide encouragement. Brandon Fertig, the father of a friend who is in the computer science project management field, has been a constant source of encouragement and has provided invaluable guidance in my career search. I am incredibly grateful for the support and guidance these individuals have provided throughout my academic journey, he said.

After graduation, Miller hopes to work in cybersecurity within the Little Rock area.

My goal is to pursue a career path in digital forensics or incident response, he said. To enhance my qualifications, I am also working towards an AWS certification, which I aim to complete shortly after graduation.

AWS (Amazon Web Services) Certification helps learners build credibility and confidence by validating their cloud expertise with an industry-recognized credential.

At the end of the day, my interest in computer science came from a mix of my early experiences with digital electronics, my hands-on coding practice, and my desire to use technology to make a difference, Miller said. This passion has motivated me to pursue a career in computer science and keep growing my knowledge and skills in this constantly evolving field.

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New Bachelor of Science in Data Science approved by USG for Fall 2024 – Jagwire Augusta

To meet the demands for data science professionals in Georgia and nationally, Augusta Universitys School of Computer and Cyber Sciences (SCCS) has announced the launch of a new Bachelor of Science in Data Science.

The new data science curriculum was defined by the faculty of SCCS in collaboration with Augusta Universitys College of Science and Mathematics. Designed to equip students with the skills needed to succeed in a data-driven world, this program promises to be a catalyst for innovation and economic development.

We are excited to offer the new Bachelor of Science in Data Science program. There is a great demand for data scientists, both in our region and nationally, said Alexander Schwarzmann, PhD, dean of SCCS. Augusta University is uniquely equipped to cultivate the next generation of data scientists. Our growing ties with industry partners and partnerships with the Department of Defense entities at Fort Eisenhower, the National Security Agency, the Savannah River National Lab and the Georgia Cyber Innovation and Training Center, allow our students to receive exceptional training for successful careers and empower them to make significant contributions to our increasingly digital society.

This innovative program encompasses core data science competencies, including statistical analysis, machine learning, artificial intelligence and programming. Students will benefit from the interdisciplinary coursework that connects computer science with practical applications in health informatics, cybersecurity and data-intensive computational areas. Graduates will be well-equipped to analyze and leverage data effectively, driving innovation and making informed decisions across various fields, including health sciences, cybersecurity and business.

The data science undergraduate curriculum includes rigorous preparation in mathematics, statistics and computer science, equipping students with the skills needed to excel in todays data-driven world, said Gursimran Walia, PhD, associate dean for academic affairs for SCCS and interim director of the data science program. Our program offers hands-on opportunities for undergraduate research and industrial capstone projects, empowering students to tackle real-world challenges with data-driven solutions.

AU already offers a Master of Science in Data Science through The Graduate School in partnership with the School of Public Health, providing students training in data science methods to empower them with innovative data science methods to address complex problems. The future plans include offering a combined BS and MS program in Data Science that can be completed in five years.

Data science is transforming fields from health care to economics, converting raw data into powerful insights. AUs Data Science program will unlock new opportunities for our students, enabling them to advance and innovate, while supplying essential knowledge workers for Georgia, the nation and beyond, said Seth Oppenheimer, PhD, chair of the Department of Mathematics.

The BS program also lays the groundwork for offering micro-credentials and online certificates. The industrial data science capstone project, required for all majors, will forge stronger connection between AU and the private and public sector enterprises, enhancing the educational experience for students.

The demand for data scientists is rapidly growing, with the Bureau of Labor Statistics projecting a 31% growth rate from 2020 to 2030, much faster than the average for all occupations. IBM predicts over 2.7 million job openings by 2030, and Georgia alone sees 7,100 annual data science job openings. Richmond County in Georgia is recognized as one of the top ten areas for growth in this field. Students earning the BS in Data Science will help meet this demand, driving economic development, enhancing industry readiness and fostering research innovation.

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