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The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. Looking ahead to 2025, Lalchandani identifies several technological trends that will define the Middle Easts digital landscape.
ADIB-Egypt has announced plans to invest 1 billion EGP in technological infrastructure and digital transformation by 2025. In recent years, ADIB-Egypt has already made substantial strides in integrating technology into its operations. Artificial intelligence is set to play a key role in ADIB-Egypts digital transformation.
They buy technologies that can solve problems they know about today, rather than those they may face a couple bends down the road. Rather than asking large companies about which technologies they were experimenting with, we created four buckets, based on what you might call “commitment level.” (Our AI/machinelearning.
Interest in machinelearning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Understanding key technologies and methods. MachineLearning in the enterprise".
The startup, based out of Cambridge, England, says it is building tooling that focuses on “autonomous agents, network infrastructure, and decentralised machinelearning” that help enable communication and actions between AI applications, the idea being to make the work produced by them more actionable. and Europe).
Looking ahead to 2025, what do you see as the key technology trends that will shape the Middle Easts digital landscape? By 2025, several key technology trends will shape the Middle Easts digital landscape. Investments in healthcare technologies will grow, driven by national health strategies and pandemic-driven innovation.
In recent years, three technologies have dominated the tech landscape: Python, Artificial Intelligence (AI), and Blockchain. This blog explores the intersection of Python, AI, and Blockchain, highlighting how they complement each other and the opportunities they create for developers and businesses. Python libraries like web3.py
It’s clear that the make-insurance-great-again mission heavily depends today on technology adoption. Young prodigies prefer to join technology, consulting, or other financial companies rather than insurance. Internal Workflow Automation with RPA and MachineLearning. And the need for OCR technologies is still there.
In the early phases of adopting machinelearning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. How do we continue to provide liquidity in an age when machinelearning models require so much data? Economic value of data.
As the UAE strengthens its position as a global technology hub, 2025 will be a year filled with cutting-edge events that cater to tech leaders across various industries. Topics will include cloud computing, the Internet of Things (IoT), big data analytics, and other technologies that are driving digital change in businesses and governments.
IT or Information technology is the industry that has registered continuous growth. The Indian information Technology has attained about $194B in 2021 and has a 7% share in GDP growth. Because startups like Zerodha, Ola, and Rupay to large organizations like Infosys, HCL Technologies Ltd, all will grow at a mass scale.
As one of the largest and most influential technology exhibitions in the world, GITEX Global 2024 promises to be a pivotal event for technology leaders. Hosted in Dubai from October 14-18, GITEX will showcase cutting-edge innovations and provide a platform for global experts to discuss the latest advancements in technology.
Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via MachineLearning.
Tatum is a blockchain infrastructure startup that wants to make it much easier to develop your own blockchain-based product. The company operates a platform-as-a-service product so that you don’t have to manage your own nodes and learn how to interact with each client. Tatum lets you interact with blockchains using API calls.
Crypto publication Decrypt pointed out the focus hasn’t shifted only for the media: JPMorgan’s e-Trading Edit report noted that institutional traders are also looking carefully at AI while blockchain begins to lose its allure. 4 on the list of proof points, machinelearning capabilities should merge into the main hook of the announcement.
The evolutions in mobile technology have profoundly impacted the business landscapes across industries. Innovations in mobile technology have played a pivotal role in enhancing AP automation, driving efficiency, accuracy, and accessibility. In built OCR technology OCR technology has been a game-changer for AP automation.
The financial services industry has traditionally been a slow adopter of modern technology. The term “digital transformation” refers to integrating digital technology into all aspects of an organization, which results in a fundamental shift in how the business operates and provides an enhanced experience to its consumers.
With emerging technologies like Gen-AI keeping organizations in a flurry of new implementations, a rapidly shifting CIO role, new innovations testing budgets and adaptability of organizations and increasing competition, a competent CIO is the ace that can change the game.
The seed round, which it says was oversubscribed, was led by Investible with participation from Franklin Templeton, Xcel Next, Singapore University of Technology and Design, Bon Auxilium, Tenity, Plug and Play and Entrepreneur First. Programmatic synthetic data helps developers in many ways.
Building a scalable, reliable and performant machinelearning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machinelearning framework. Therefore, the majority of machinelearning/deep learning frameworks focus on Python APIs.
His focus since the early 1980s, his company DigiCash sent the first digital payment in 1994, and he has since doubled down on blockchain and security. And he sees Web3 and blockchain as integral parts of that equation. . David Chaum is a giant in the realm of computer security and, not surprisingly, cryptocurrency.
Nillion, a web3 startup aiming to build a non-blockchain decentralized network, closed an oversubscribed round of more than $20 million, the company exclusively told TechCrunch. Nillion is a deep technology infrastructure project,” Andrew Yeoh, the company’s founding chief marketing officer, told TechCrunch.
Shifts in CTO Responsibilities Over Time The Chief Technology Officer (CTO) role has evolved dramatically over the past few decades, driven by rapid technological advancements and shifting business landscapes. With technology evolving rapidly, CTOs must stay on top of the latest trends to keep their organizations ahead.
The 21st century has seen the advent of some ingenious inventions and technology. From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),MachineLearning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more.
Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives.
There is friction between globalization and regional autonomy, a conflict between the desire for sustainability and the lure of rapid development, ongoing political uncertainties, and the ever-increasing impact of digital technology. Yet, the rapid pace of technological evolution also embodies potent challenges.
After incubating a startup — Axelera AI — to commercialize their chip technology within the blockchain company Bitfury Group, Del Maffeo and team secured capital from VCs including Imec’s venture arm, Imex.xpand. Axelera’s test chip for accelerating AI and machinelearning workloads.
Hiring activities of a company are mainly outsourced to third-party AI recruitment agencies that run machinelearning-based algorithmic expressions on candidate profiles. Built with evolving NLP technology, it screens a candidate’s ability to fit into their contesting roles by recognizing their pattern of communication.
CIO.com caught up with Mittal to know more about his plans for the innovation lab, as well as the technology strategy for the financial services company. CIO.com: What solutions will come up at the innovation lab and which technologies would you be leveraging for developing them? How are you boosting the bottom line through technology?
We presented an overview of the state of automation technologies: we tried to highlight the state of the key building block technologies and we described how these tools might evolve in the near future. Decision-makers also are investing in AI and automation technologies. Deep learning models. is extremely high.
“Our work with these companies will be guided by our role as a leading global innovator of next-generation products, technologies and services as we help them accelerate their growth and deliver positive impact to the world.” – Artificial intelligence-powered remote patient monitoring wearable technology. TRIPP, Inc.
From the era of large mainframes, command line interfaces, and backing up data on tape to the modern world of cloud computing, user-friendly interfaces, and low-code/no-code software development, technology has continued to change rapidly and has significantly shaped our lives and businesses.
Other in-demand skills and certifications Pay premiums are also high for a cluster of skills surrounding blockchains, with knowledge of Ethereum, smart contracts, and blockchain more generally all attracting bonuses of almost 20% of base salary. Careers, Certifications, IT Skills, Technology Industry
Alexa, the voice service behind Amazon Echo, is changing how a consumer interacts with technology. By conducting a targeted hackathon, you will be able to let the developer community know about your company and the technology stack you use. Technology, University, Government, and Social hackathons. Technology hackathons.
Alexa, the voice service behind Amazon Echo, is changing how a consumer interacts with technology. By conducting a targeted hackathon, you will be able to let the developer community know about your company and the technology stack you use. Technology, University, Government, and Social hackathons. Technology hackathons.
She focuses on crypto and blockchain infrastructure companies building the next-gen web3 stack, as well as on data and machine-learning startups that hyper-personalize user experiences and transform legacy industries. He is a board member for Skolem Technologies and has led more than 13 investments for Galaxy.
One reason for that is the ever-advancing technology and its requirements. One reason that can be attributed to a lack of skills is the advancement of technology, people just don’t have time to familiarize themselves with the new technology, and by the time they do, there is already something else in the pipeline. Deep Learning.
And almost no items about Blockchains, though the one item I’ve listed (China’s Blockchain Services Network) may be the most important item here. There is serious talk of a “ Deep Learning recession ” due, among other things, to a collapse in job postings. Short-term effect of COVID or long term trend?
Despite the rule of such gigantic organizations and high operational costs of the Bay area, it offers excellent opportunities for tech startups with unique technological solutions. is the blockchain of food that uses the Internet of Things (IoT) and Blockchaintechnology in the food supply chain. ImpactVision.
McKinsey ) From AI-powered underwriting to blockchain-based claims management, digital advancement encourages transformative changes across the insurance field and allows businesses to save costs. However, technology implementation still poses challenges. Here are a few use cases of how AI facilitates insurance workflows.
Mohamed Salah Abdel Hamid Abdel Razek, Senior Executive Vice President and Group Head of Tech, Transformation & Information, Mashreq explains how the bank is integrating advanced technologies and expanding its digital footprint. We are using cloud technology to bring digital solutions to our customers.
Technical debt is bound to accumulate at every company, whether it’s a mammoth Enterprise or a bright-eyed AI-Machine-Learning-Blockchain startup. Is it a codebase with poorly-written methods following convoluted logic and hard-to-follow patches for production issues? It’s both, really. One of the biggest is monitoring.
Kunal Lunawat Contributor Share on Twitter Kunal Lunawat is co-founder and managing partner of Agya Ventures , a venture capital firm focused on real estate tech, blockchain, AI and sustainability.
Nair, who was employed by Arab Emirates before joining Cathay 13 years ago, says his deep experience on the application side gives him unique insights into the business problems of relying on older SITA-based networking technology in a cloud environment. The cloud has helped us to be more scalable and agile.”
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