Latest news with #SQL
Time of India
3 hours ago
- Business
- Time of India
Zerodha cofounder Nikhil Kamat has a job offer for you: Here's who can apply
Zerodha co-founder Nikhil Kamath is seeking top talent for his team. Kamath is recruiting for his personal investment team in Mumbai, seeking highly analytical minds for two senior positions: a Senior Data Scientist and a Senior Researcher . Both roles will work directly with Kamath and his core team, contributing to high-stakes investment decisions. Kamath announced the openings on LinkedIn, saying they will be working closely with him. Here's his full Linkedin post: You'll be working closely with me and my investment team. We're currently looking for: 1. A Senior Data Scientist who can turn data into smart insights. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like American Investor Warren Buffett Recommends: 5 Books For Turning Your Life Around Blinkist: Warren Buffett's Reading List Undo 2. A Senior Researcher who can dig deep into sectors and trends. The executive has also attached a link where you can apply. Who all can apply for job at Zerodha The Senior Researcher role targets candidates with 6–8 years of experience in deep-sector research, particularly those with backgrounds in economics, business, or social sciences. Responsibilities include synthesising extensive information, developing investment theses across critical sectors like energy, AI, and media, and rigorously testing ideas with academics and industry experts. For the Senior Data Scientist position, Kamath is looking for individuals with 5–8 years of experience in analytics and proficiency in tools such as Python, SQL, and Business Intelligence platforms like Tableau or Power BI. This role involves designing and building models to inform investment decisions, identify performance anomalies, and forecast revenue and risk, combining statistical expertise with business acumen. Kamath and the job description do not provide details on the compensation, however, it may be a big opportunity in itself to work directly with Nikhil Kamath, one of India's most prominent investors. AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Metro
a day ago
- Business
- Metro
AI will replace these 10 jobs — but here's what workers can do instead
AI is no longer the preserve of Tomorrow's World — and over the last few years, we've seen intelligence systems rapidly reshape the workforce. From providing virtual assistance and generating reports to diagnosing illness, artificial intelligence is taking over tasks that used to require human hands (and minds). While robots haven't commandeered all of our roles just yet, researchers predict AI may replace 300 million jobs globally by 2030, with an estimated 41% of companies expected to reduce staff numbers as a result of its introduction. It's a scary prospect, and you might be wondering: what does this mean for me? But just because AI is stepping into the workplace faster than any of us could have imagined, it doesn't need to push you out. In fact, this could be the perfect opportunity to rethink, retrain and potentially upgrade your career. As some jobs fade, others are just getting started, and there are plenty of roles where AI cannot match human performance. So rather than losing sleep thinking about being replaced, consider the ways you can make yourself future-proof. These are the 10 professions most likely to be displaced by AI, according to LiveCareer, along with expert guidance to help those at risk stay ahead of the curve. To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Size of affected workforce: 95,100 data entry specialists in London Transferring data is an almost perfect task for AI, as machine learning and OCR systems are now able to extract data from physical and online documents with high accuracy and minimal supervision. These automated data pipelines allow companies to cut labour costs and minimise error, so although some tasks will still need a human touch, many traditional data entry roles are rapidly disappearing. What to do instead? Consider a shift towards data analysis or management. 'It takes judgement, context and curiosity to figure out what the numbers really mean, and what to do next — that's not something a bot can truly replicate,' recruitment specialist Sharon Armstrong tells Metro. 'People working with data should focus on building skills that AI can't easily replace, like critical thinking, storytelling with data and business insight.' Become more advanced with tools such as Excel, SQL or Python and learn how to work alongside the development of AI; even if it's doing the grunt work, business will require analysts to derive insights and implement intelligence-based solution. It's a smart move to pivot into an industry where your experience is still valued, but your opportunities are magnified. Size of affected workforce: 227,500 telemarketers in London As cold calling for sales generally follows a guideline, automated and AI-driven diallers are being employed more and more frequently due to their ability to handle a magnitude calls, collect data and perform sales pitches on a daily basis. 'AI can handle scripted sales calls, but true relationship-building still requires a human touch,' says Sharon. So don't panic – there is still a market for telemarketers who specialise in high-value or complex situations that call for empathy and personality — and while it's still a good idea to look at upskilling, focusing on these qualities can make you a valuable asset in the meantime. What to do instead? A telemarketer's skills in communication and persuasion transfer seamlessly into digital marketing, customer success or modern sales roles. Customer outreach, relationship building and strategic thinking are key to being successful in these fields. Learning about digital marketing platforms, CRM systems or social media advertising and engagement will also help you get ahead. Size of affected workforce: 58,600 customer services in London Similarly to telemarketing, customer service work (password resets, checking order statuses, or billing questions) is often repetitive and follows a script, which unfortunately makes it ideal for automated systems AI-powered chatbots and virtual assistants are more frequently being implemented for these positions as they are able to offer 24/7 support with a high level of accuracy and reduced wait times — in some cases, customers aren't even aware they're not talking to a real person! What to do instead? Pivoting into more specialised customer success roles – such as customer relationship management, technical support, or client training – can help provide extra job security for staff in this field. Sharon explains: 'Customer service experts who develop problem-solving skills and emotional intelligence will continue to be highly sought after.' Boosting your skills in troubleshooting, product-knowledge and industry-specific needs will aid in a transition to a new, higher-value position. Size of affected workforce: 26,000 cashiers in London Self-checkout kiosks, mobile payment apps and AI-powered surveillance systems have been replacing traditional cashiers for a while now, with stores like Amazon Go spearheading the change. For some firms, the aim is intelligence systems managing the whole transaction, from item detection to payment processing, making the shopping experience entirely automated and staff-free. It may be a while before this becomes the norm, but it's wise to lay the groundwork now if your job is vulnerable. What to do instead? Roles in retail management or customer experience provide opportunity for a smooth transition as they utilise similar skills in understanding consumer behaviour and dealing with people. You may also want to go into something more niche, in which case opportunities in logistics, supply chain management or the implementation of technology within retail environments might be worth exploring. Size of affected workforce: 22,100 editors in London Many writers and content creators use AI-based tools such as Grammarly, Hemingway and ChatGPT to speed up their editing process, as these virtual aids are now advanced enough to catch spelling mistakes, inconsistencies in tone, and even offer rephrasing and writing suggestions. While higher-level creative editing and content direction still requires a more personalised touch, the more mechanical editing processes are being swept up by AI platforms with increasing accuracy and performance. What to do instead? A sharp eye for detail, understanding of language and ability to write clearly and concisely are skills in high demand within fields like communications, content marketing and creative direction. 'Content and marketing professionals who specialise in brand storytelling and campaign strategy will continue to offer value that automation can't match,' notes Sharon. ResumeLab's Peter Bryla also tells Metro: 'If you have a sharp eye for language, that skill is still incredibly valuable; you just need to aim it higher. Think brand voice, SEO strategy, or even content planning. It's about moving from fixing commas to shaping narratives.' Expanding your toolkit and gaining expertise in content strategy, SEO or digital content management will enhance your CV, allowing you to become a competitive professional and move beyond polishing paragraphs. Size of affected workforce: 20,200 legal admin roles The role of a legal assistant involves detail-driven tasks like sifting through case files, reviewing contracts, flagging risky clauses, organising evidence and researching past rulings — all of which can be done (to varying degrees of success) by intelligence systems such as ROSS intelligence and DoNotPay. What to do instead? Look at position in legal technology, such as legal operations or legal tech consulting, which allow for your current expertise to be combined with industry advances. 'The legal field is evolving fast, and tools like AI are changing how we manage documents and casework,' says Peter. 'But legal professionals can stay ahead by shifting into tech-driven roles such as compliance, legal ops, or litigation support, where their expertise still matters, albeit in a more modern context.' If you have a more solid background in law, also consider project management, litigation support or compliance positions within the tech sector. Here, your pre-existing skills in managing complex information, meeting tight deadlines and staying organised will most definitely come in handy. Size of affected workforce: 153,800 bookkeepers in London Rule-based functions such as tracking transactions, managing ledgers and preparing basic financial reports are becoming increasingly automated. Businesses can implement modern accounting software like QuickBooks and Xero to keep the books in order, streamlining operations and reducing human error. What to do instead? Your skills in interpreting complex financial data and providing strategic insights can prove valuable in similar roles like financial consulting or analysis and auditing. Sharon explains: 'Financial professionals who can interpret data, advise on strategy, and assess risk provide insights that no software can replace.' Boost your expertise in financial modelling, budgeting and data analysis to move into a position with more strategic influence (and potentially higher earning potential) and stay on top in this fast-moving industry. Size of affected workforce: 42,000 frontline food workers in London Many fast food giants are already using automated devices to take orders. But the development of tech in prepping meals and cleaning brings AI's involvement within the food industry to a new level, with McDonald's and White Castle already testing robotic fry cooks and AI-powered drive-through assistants. While machines may be gaining the upper hand in routine based tasks though, the food industry will always need creativity and decision-making that requires the fine tuned touch of human experience. What to do instead? More innovative or managerial roles within the food world such as culinary innovation, restaurant management, supply chain management are all great jumps from working front of house. 'In hospitality, automation may assist, but leadership, creativity, and customer experience remain firmly human strengths,' Sharon comments. 'Upskilling in management and operations will help workers stay ahead.' Food service tech roles that focus on developing or managing AI systems for restaurants also offer a great way to work alongside developing intelligence systems instead of competing with them. Size of affected workforce: 20,600 warehouse roles in London Many mainstream companies such as Amazon, Ocado and Alibaba have already developed automated warehouse systems where AI robots handle the product selection, packing, labelling and inventory tracking processes normally done by warehouse workers. Instead of doing physical labour, some workers have shifted to supervisory roles, but there are other options that might be more beneficial in allowing you to get the most out of your employment experience. What to do instead? Build expertise in logistics coordination, inventory control and warehouse technology operations to level up here. 'Automation is growing in logistics, but skilled professionals who manage inventory systems and oversee technology-driven processes are still crucial to keeping supply chains running smoothly,' Sharon adds. Look at gaining education and experience in automation systems, logistics software, efficiency management and safety standards, as this will get you to the front of the queue when interviewing for roles like warehouse supervisor, supply chain analyst and robotics technician. Size of affected workforce: 63,100 junior analysts in London Automated AI tools such as Tableau and Google's Looker Studio are able to do data collection, run statistical analyses and highlight patterns, effectively taking over the duties of junior market research staff. What to do instead? To remain at the top of the game, shift toward positions that use more strategic thinking skills, from strategy consultant to business analyst or data scientist. Sharon says: 'While data collection is increasingly automated, those who develop strong data storytelling and business insight skills will remain valuable in marketing and analytics roles.' It's worth being confident in turning raw data into insights, so build skills in data visualisation and storytelling, and make yourself familiar with platforms like Python to really stand out from the crowd. The simple answer is that jobs requiring direct human interaction or creativity are safe from being overshadowed by machines — at least for now. More Trending However, AI is making significant and speedy progress in automating more routine tasks. Careers coach Jasmine Escalera says that to 'stay ahead of AI and other intelligent systems, the key is continuous learning and adaptability.' 'Focus on skills that AI can't easily replicate, like critical thinking, creativity, emotional intelligence and complex problem solving,' she tells Metro. 'Those who invest in reskilling and lifelong learning will be best positioned to succeed in this evolving landscape.' View More » The main takeaway here is that AI can be used to assist in many ways, but doesn't yet have the capacity for jobs that aren't repetitive or heavily data-driven. So instead of worrying about them taking over the world, lean on intelligence systems to take over time consuming – and often boring – tasks, giving you time to focus on higher-level or creative work that'll make you indispensible. Do you have a story to share? Get in touch by emailing MetroLifestyleTeam@ MORE: Games Inbox: What is the next big game for Nintendo Switch 2? MORE: Candy Crush developers replaced by the AI tools they helped make MORE: The Gen Z stare is a symptom of a generation who've been utterly screwed Your free newsletter guide to the best London has on offer, from drinks deals to restaurant reviews.
Techday NZ
2 days ago
- Business
- Techday NZ
Ataccama ONE v16.2 uses AI to simplify data lineage for business
Ataccama has announced the release of Ataccama ONE v16.2, which brings new AI-driven features to data lineage with the aim of supporting business users in understanding, auditing, and trusting their data. The company stated that the new version addresses long-standing challenges in enterprise data governance, particularly the trust gap between business teams and IT departments. By providing compact, plain-language lineage views and secure on-premises metadata extraction, Ataccama targets the need for transparency in complex data environments. Expanded pushdown profiling capabilities are also included to provide more comprehensive data quality insights. One key issue identified by Ataccama is the limited ability for business users to visualise data origins and transformations without specialist support. The reliance on IT to explain data logic is seen as a barrier to efficient decision-making and increases risk. Recent research from Forrester highlights that only 20% of business decision-makers are currently self-sufficient with analytics tools, suggesting widespread challenges with data access and understanding across industries. The new features aim to close this trust gap by converting complex data workflows into accessible, plain-language descriptions. Business users will be able to track a data point's origin and understand profiling or quality checks independently of technical teams. In real-world settings such as financial services, a data steward can see how a risk score is calculated or how a transaction passes through quality controls, facilitating shorter audits and faster decision-making. "We're seeing enterprise data projects increasingly kick off in the business, not just in IT, and that changes everything," said Jessica Smith, VP of Data Quality at Ataccama. "The teams driving these initiatives need to understand where the data comes from, how it's changed, and whether it can be trusted. That's why we've focused on making complex data processes, like profiling, quality checks, and lineage, clear and usable to everyone. Because if data is going to scale across the business, it has to work for the people who are using it." The company describes several core updates in the v16.2 release. The AI-powered data lineage feature automatically generates readable descriptions showing how data is transformed both upstream and downstream, including filters, joins, and calculations. This makes it possible for business users to see the logic behind datasets without needing to interpret SQL queries. The compact lineage diagrams provide simplified, high-level views of data flows, with the option to explore detailed steps as needed. This feature is designed to help teams identify issues, respond to audit requests, and align stakeholders on data processing practices across the organisation. Edge processing for secure lineage is another new capability, enabling companies to extract metadata from on-premises or restricted environments without transferring sensitive data to the cloud. Ataccama states that this functionality helps organisations to maintain compliance, reduce risk, and maintain full visibility into their data pipelines, regardless of their infrastructure. The update also expands pushdown support and performance for data profiling and quality workloads. Users can now run these tasks in pushdown mode for platforms such as BigQuery and Azure Synapse, minimising data movement and enhancing performance for larger workloads. In addition, volume support for Databricks Unity Catalogue has been introduced to further optimise execution on modern cloud platforms. According to Ataccama, the new version of its data trust platform is intended to strengthen daily data governance while underpinning more scalable and compliant AI and analytics initiatives. The company positions its integrated approach as key to enabling businesses to unlock the value of their data for operational, analytical, and AI-driven purposes.
NZ Herald
2 days ago
- Business
- NZ Herald
On the Up: Power pricing start-up Factor secures $3m, signs first customer across the Tasman
The Wellington-based pair say Factor is delivering a suite of tools – with AI in the mix – that automate what has traditionally been a clunky, spreadsheet-based pricing process for energy retailers, distribution networks and other energy tech companies. 'Simon and I have been working together for a decade. We were part of the founding team at Flick Electric,' Venning-Bryan says, name-checking the upstart electricity retailer that began its life selling power at wholesale rates plus a margin. Flick was sold to Z in 2018 for $46m. Z, in turn, sold Flick to Meridian in May for $70m. 'I was CMO [chief marketing officer] there and Simon was CTO [chief technology officer].' After Flick was sold to Z, Venning-Bryan and Pohlen left to help scale up Flux Federation, Meridian's in-house effort to create billing software (last month, Meridian announced plans to cull 53 jobs from Flux as it entered an outsourcing deal with British firm Kraken). 'In the course of that work, we got to understand the commercial and industrial sector more deeply. We could see there was an opportunity in forecasting and pricing. 'The crux of the problem is that when a utility – and this is globally true – has to provide a price for a commercial customer, which could be anyone from an office building through to a factory through to a farm, those prices are bespoke. They don't come off a generic price book like they might for residential. 'So what happens is they go to a back office pricing team, who almost always use a combination of SQL [database] queries and spreadsheets to come up with a price. It can take a few days or even a few weeks.' And things are getting more complicated as corporate power customers add solar panels to some of their rooftops, and maybe install EV chargers – and in Fonterra's case, electric milk truck chargers – and other points of complexity amid greater electrification. The rise of AI offered the opportunity to quickly gather pricing from legacy systems without power companies having to rip them out. 'We interviewed 30 utilities in 15 markets to validate our own thinking about that opportunity,' Venning-Bryan says. Max Factor To outsiders, coming from a tiny market might seem a disadvantage. But Venning-Bryan says offshore utilities are gobsmacked by the lengths the start-up has had to go to grapple with New Zealand's multi-player market, which has 27 networks. Their pitch: if they can make it work here, they can make it work anywhere. 'We cut our teeth in New Zealand, one of the world's most complex energy markets, with dozens of distribution networks and no standardised meter data format. We built Factor to handle that, and in doing so we built something market-agnostic. That's why we're ready to scale globally,' Venning-Bryan says. Pohlen says Factor can be set up using natural language queries, thanks to technology that builds on Amazon Web Service's Chronos LLM (large language model). Factor has 10 staff, mostly AI experts and data scientists. The new funding will be used in part to expand the team, including sales and marketing roles. Icehouse Ventures chief executive Robbie Paul says Factor's ability to apply modern software design and AI to deeply entrenched industry problems is what drew his attention. 'Just when you think software and AI has eliminated all inefficiencies, in walk great entrepreneurs like Jessica Venning-Bryan and Simon Pohlen optimising a colossal industry like energy,' Paul says. Factor is Icehouse's second early-stage investment announced this week. The firm has raised $16m toward its target $30m for its new Seed Fund IV. Chris Keall is an Auckland-based member of the Herald's business team. He joined the Herald in 2018 and is the technology editor and a senior business writer.
Business Standard
11-07-2025
- Business
- Business Standard
Unlocking the Future of Technology with AI For Techies: Why Python and SQL Are a Game-Changer
VMPL New Delhi [India], July 11: In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of technology professionals is undergoing a massive transformation. Whether you're an aspiring developer, a data analyst, or a database administrator, AI is at the heart of innovation. As AI continues to disrupt industries and redefine job functions, technology professionals must evolve to stay competitive. This is where AI for Techies plays a pivotal role. Our platform is dedicated to teaching Python and SQL using AI tools, providing the expertise needed to succeed in a rapidly changing landscape. The Surge of AI in the Tech Industry: A Critical Inflection Point AI is no longer confined to research labs or the domain of tech giants. It's permeating every aspect of the technology industry and beyond. The global AI market is growing at an unprecedented rate, projected to reach $390.9 billion by 2025, according to Markets and Markets. From automation in software development to predictive analytics in data science, AI has become a cornerstone of technological advancement. For technology professionals, this means one thing: staying ahead of the curve is not optional but essential. AI's growing influence is reflected in the fact that AI-related jobs increased by 40% year-over-year in 2023, according to a report by the International Data Corporation (IDC). This sharp rise in demand for AI-skilled professionals across industries underscores the urgent need for a workforce that can seamlessly integrate AI tools into everyday tasks. However, the challenge lies not only in understanding AI's capabilities but also in how professionals can leverage it to boost productivity, optimize workflows, and drive innovation. Python: The Language of Choice for AI Development Python is widely regarded as the leading programming language for AI development, and for good reason. It's user-friendly, versatile, and backed by a vast ecosystem of libraries and frameworks such as TensorFlow, Keras, and PyTorch, which are indispensable for AI development. Python is so dominant in the AI space that over 80% of machine learning engineers use Python as their primary language, according to the 2024 Stack Overflow Developer Survey. One of the reasons Python is so effective for AI is its simplicity. The language's syntax is easy to learn, allowing professionals to focus on solving real-world problems rather than getting bogged down by technicalities. Moreover, Python's rich set of libraries enables tech professionals to work on complex machine learning algorithms, data visualization, natural language processing (NLP), and deep learning projects without reinventing the wheel. At AI for Techies, we take the learning experience a step further by teaching Python through AI-powered tools. Our courses integrate popular AI-driven platforms such as GPT code generation assistants and AI-based debugging tools, allowing learners to see firsthand how AI can augment their coding experience. This approach empowers learners to not only write Python code more efficiently but also to build AI models, process data sets, and automate tasks with ease. SQL: The Backbone of Data Management with AI Capabilities While Python powers AI development, SQL (Structured Query Language) is the foundation of data management. It is the language used to interact with databases, retrieve valuable insights, and store data in structured formats. Despite the rise of NoSQL databases, SQL remains the dominant language for querying relational databases, which still power a majority of business systems worldwide. However, the integration of AI into SQL workflows is revolutionizing data management. AI tools now enable automated query generation, predictive analytics, and anomaly detection directly within SQL environments. For instance, AI models can automatically suggest optimized SQL queries based on the patterns in historical data, significantly reducing the time required to extract actionable insights. Gartner predicts that by 2025, 70% of data queries will be automated, showcasing the importance of professionals who can harness AI to enhance SQL workflows. In response to this industry trend, AI for Techies workshop offers courses that teach SQL using AI, where learners can experience firsthand how AI can automate data queries, suggest optimization strategies, and perform sophisticated data analysis. With the combination of AI-driven SQL tools and a deep understanding of database management, professionals can perform tasks that would typically take hours in a matter of minutes. This not only boosts productivity but also equips tech professionals with a competitive edge in a data-driven world. The Growing Demand for AI-Ready Professionals The demand for professionals who understand both AI and foundational languages like Python and SQL is increasing at an exponential rate. According to LinkedIn's 2024 Workforce Report, AI-related skills saw a 72% increase in demand across various industries, including software engineering, data analysis, finance, and healthcare. Companies are not just seeking professionals who understand AI but also those who can leverage AI to solve complex problems in their respective fields. As the job market becomes more AI-driven, technology professionals must equip themselves with the necessary tools to remain relevant. The AI for Techies approach is designed to fill this gap by focusing on practical, hands-on learning. Our courses ensure that learners can apply their knowledge of Python and SQL in real-world AI projects--from building AI chatbots to analyzing large datasets with automated SQL queries. By integrating AI into these essential skills, professionals gain the expertise to not only use AI but also to drive innovation in their respective roles. Whether you're a software developer looking to integrate machine learning algorithms into your applications or a database administrator wanting to leverage AI for more efficient data queries, AI for Techies has the resources you need. Industry-Ready Learning: The AI for Techies Advantage AI for Techies workshop doesn't just teach Python and SQL--we teach them using AI tools and methodologies that are directly aligned with current industry trends. Our learning platform is designed to offer a deeply practical experience, including: 1) Real-World Projects: Learners build hands-on AI projects that can be showcased to potential employers, from AI-driven chatbots to advanced data analysis workflows using Python and SQL. 2) AI-Powered Learning Tools: Our curriculum includes AI-driven assistants that help learners write code more efficiently, debug errors, and optimize algorithms in real time. 3) Expert-Led Courses: Led by industry experts, our courses are crafted to ensure that learners gain both theoretical knowledge and practical skills. 4) Certifications: Upon completion of each course, students receive industry-recognized certifications that validate their expertise in Python, SQL, and AI-driven technologies. A Bright Future for AI and Tech Professionals AI is transforming the world, and technology professionals must be prepared to navigate this shift. The combination of Python, SQL, and AI is a powerful trio that empowers professionals to tackle the challenges of tomorrow. As AI continues to evolve, so too will the tools and techniques used to develop, manage, and analyze data. With AI for Techies review, you're not just learning to use Python and SQL--you're learning to harness the full potential of AI to solve complex problems, automate processes, and drive innovation. By mastering these skills, you're positioning yourself as a future-ready professional in an AI-driven world. Are you ready to shape the future of technology? Join AI for Techies workshop today and start your journey toward becoming an AI-powered tech professional. Company: AI For Techies Email ID: hello@
