Unleash the power of generative AI with BigQuery and Vertex AI
BigQuery now supports generative AI use cases using Gemini 1.0 Pro with Vertex AI, providing higher input/output scale and better result quality.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
February 2024
Enhancing Software Testing with Large Language Models: Navigating the Challenge of Hallucinations
Software testing is an indispensable stage in the software development lifecycle, tasked with verifying application reliability, security, and performance before deployment. This process evaluates software components to ensure they adhere to specified requirements and perform reliably under varied conditions.
Emerging Tech Trends: Navigating the Most In-Demand Technical Careers for 2024
As we step into 2024, the tech industry continues to be a whirlwind of innovation and growth. With every passing year, technology reshapes not just how we live our daily lives but also the very fabric of our career landscapes. This year, certain tech roles are standing out, fueled by advancements in AI, cybersecurity, and cloud computing.
How to Automate Data Extraction from Patient Registration Forms in Healthcare
Automating data extraction from patient registration forms in healthcare is crucial to enhancing patient care efficiency, accuracy, and overall quality. Over 71% of surveyed clinicians in the USA agreed that the volume of patient data available to them is overwhelming. This abundance of data highlights the importance of streamlining the extraction process. Manual extraction is time-consuming and prone to errors, hindering patient safety.
5 AI Capabilities Your Business Needs
Prior to 2022, a lot of the AI news centered on use cases like self-driving cars. Of course, use cases like these didn’t exactly apply to enterprise software. In 2023 ChatGPT showed the abilities of AI to mimic human language, but still, this only scratched the surface of AI applications for the modern enterprise. If you’ve ever asked yourself, “What is AI capable of?” then consider the following examples: How many emails do you get per day?
Transcript Processing with AI-Powered Extraction Tools: A Guide
The class of 2027 saw a massive influx of applications at top universities across the United States. Harvard received close to 57,000 applications for the class of 2027, while MIT received almost 27,000. UC Berkeley and UCLA, meanwhile, received 125,874 and 145,882 respectively. Manual transcript processing is an uphill battle for educational institutions at every level.
Assembling a RAG architecture using Fivetran
How to combine your enterprise data with generative AI.
DoD AI: Using Artificial Intelligence to Improve Military Operations
With all the recent discussion about the use of artificial intelligence (AI) and large language models (LLMS) like ChatGPT, you may think that AI is a new phenomenon. But in fact, the US Department of Defense (DoD) has been investing in AI for more than 60 years.
Preventing Hallucinations in AI Apps with Human-in-the-Loop Testing
Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.
Technical Deep-dive - Unlock the Power of Data with AI, Machine Learning & Automation - Part 2
We delve into Generative AI capabilities, seamless application automation integration, and robust machine learning using AutoML. The webinar aims to unravel the behind-the-scenes magic that powers the application. Attendees can anticipate gaining valuable insights into the methodologies and technologies that contribute to enhanced predictability and data-driven decision-making.
Beyond the Buzz: Braze Equips Modern Marketers with Powerful AI Tools
A lot of the buzz around AI focuses on its future potential. And we get it — we’re talking about a transformative technology that presents seemingly limitless possibilities. But an important aspect of this world-changing tech story that gets lost in the hype is understanding exactly what AI solutions are available for you and your team to employ right now, today.
Gen AI Reshaping E-Commerce: Impact on Product Descriptions, Customer Experiences, and Content
By 2030, the value of the Generative AI (Gen AI) sector is expected to grow to USD 110.8 billion. GenAI is predicted to be responsible for 10% of all data generation by 2025, a stark increase from under 1% in 2021 – Gartner.
Implementing Gen AI for Financial Services
Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.
6 Game-Changing Use Cases of Gen AI in Site Reliability Engineering
Today, Site Reliability Engineering (SRE) emerges as the key player in the fast-paced modern industries, where the demand for seamless software delivery collides with the need for reliability, maintaining this delicate equilibrium. It’s not merely a role; it’s a strategic position that safeguards system health while strategically mitigating the financial pitfalls associated with downtime.
Top 3 Data + AI Predictions for Retail and Consumer Goods in 2024
Nearly every facet of society has felt the impact of AI since it burst into the mainstream in late 2022 with the public launch of ChatGPT. In 2024, the retail and consumer goods industry is expected to experience massive upheaval due to the proliferation of generative AI (gen AI) tools as well as changes in customer engagement and the general manner in which products are now sold.
Continual is SOC 2 compliant
Continual is proud to announce that we are now SOC 2 Type 1 compliant and SOC 2 Type 2 in progress. This certification demonstrates our core commitment to your data security and privacy. We expect to make additional announcements around our security certification efforts over the coming months. Beyond third party attestations, Continual is built from the ground up for data security, privacy, and governance at enterprise scale.
The AI Hallucination Problem: How to Protect Your Work
Artificial intelligence has been instrumental in helping businesses streamline and speed up business operations by automating repetitive tasks. It also frees up workers to focus on higher-level tasks that require human intervention. And when paired with other intelligent automation tools, such as robotic process automation, it can improve business processes and provide a competitive advantage.
The Correlation Between Data Governance and Quality AI
What is the role of data governance in cybersecurity? How do bad developer behaviors affect data quality? How will generative AI impact data management and security? This week, we revisit the Developers Behaving Badly Report with Lauren Maffeo, Senior Service Designer at Steampunk!
Four Questions to Consider When Navigating the Rapid Evolution of Generative AI
Generative AI’s (gen AI) capabilities seemed startlingly novel a year ago, when ChatGPT’s release led to an explosion of public usage and, simultaneously, intense debate about its potential societal and business impacts. That period of initial amazement and suspicion has given way to business urgency, as companies scramble to adopt gen AI in ways that leverage its potential for maximizing workforce productivity and profitability.
10 bold predictions for AI in 2024
From personal AI to the data that’ll train it, browse our bets on how AI develops in 2024 and beyond.
What is AI Analytics?
Imagine your software transforming from merely a tool into a strategic partner that can automatically alert your users to trends, provide explanations of data with a click, and help you ask the right questions of your data-sets - in addition to delivering data-led insights. This is the power of AI analytics solutions for independent software vendors (ISV). Today's users demand more than just functionality. They crave intelligent software that analyzes data, surfaces insights, and empowers them to act.
The Evolution of Conversational AI: From Eliza to GPT-3
Explore the journey of conversational AI from its humble beginnings with Eliza to the transformative capabilities of GPT-3, uncovering insights and trends seldom discussed in the industry.
Top 12 Benefits of Using AI in Oracle Fusion Financials Module Testing
Artificial intelligence (AI) is rapidly transforming the business world, and Application testing is no exception. AI-powered testing tools can help businesses to automate tasks, improve accuracy, and reduce costs. One of the most important benefits of using AI for Application testing is that it can help automate repetitive tasks. This can free up testers to focus on more complex and strategic tasks. For example, AI can automate creating test cases, executing test cases, and analyzing test results.
AI: Friend or Foe of a Tester? | Rahul Verma | #softwaretesting #automationtesting #shorts
Dive into a candid discussion about the intersection of AI and job security in the testing industry. Rahul Verma fearlessly addresses the hard truths surrounding job loss and the role of AI, debunking common misconceptions and shedding light on the real challenges ahead. 🔍 Key Takeaways: Prepare yourself for the realities of AI in testing and equip yourself with the knowledge needed to thrive in an ever-changing industry. Tune in to this eye-opening session and take the first step towards securing your future in testing. #JobSecurity #TechIndustry #TheTestTribe #TechTalks.
Microsoft Copilot: A Tour
Microsoft Copilot is an LLM-powered AI assistant embedded across Microsoft software including its 365 productivity apps Word, Excel, PowerPoint and Teams. Copilot AI assistance features are designed to boost productivity and creativity by providing a natural language interface to knowledge, insights and workflows in Microsoft products.
Optimizing Quality Assurance: Harnessing the Power of AI for Efficient and Effective Software Testing
In the present digital period, Artificial Intelligence (AI) is impacting the future of various aspects of Quality Assurance (QA). This evolution has resulted in strategies for ensuring quality is effectively integrated into development processes.
6 Ways Marketers Are Using Generative AI: Is It Really Saving Time?
AI was the hot topic of 2023 and will continue to reign in 2024: ChatGPT first launched at the end of 2022 and became a massive hit in just a few months. Google released Bard shortly after, and then, new AI tools just kept popping up, prompting marketers to learn how to leverage them to become more efficient and productive.
LLMOps vs. MLOps: Understanding the Differences
Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. This blog post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.
Overcoming obstacles in using AI-powered marketing analytics
Learn how Fivetran and Databricks work in unison to enable AI-powered upgrades to marketing ROI.
Top 3 Data + AI Predictions for Manufacturing in 2024
Investment in AI for manufacturing is expected to grow by 57% by 2026. That’s hardly surprising — with AI’s ability to augment worker productivity, improve efficiency and drive innovation, its potential in manufacturing is vast. AI’s predictive capabilities can help manufacturing leaders anticipate market trends and make data-driven decisions, creating financial opportunities for suppliers as well as customers.
Accelerate Gen AI Securely With Snowflake Cortex And Snowpark Container Services
Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.
Accelerating Gen AI for Customer Service with Fivetran, Google Cloud, BigQuery and Vertex AI
Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.
5 Steps to Data Diversity: More Diverse Data Makes for Smarter AI
In an iconic Top Gun scene, Charlie tells Maverick that a maneuver is impossible. Maverick replies, “The data on the MIG is inaccurate.” In the more recent sequel, despite his extensive, firsthand knowledge, Maverick is told “the future’s coming and you’re not in it.” While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical.
Why Rocket Software is betting big on predictive analytics
The global software development firm builds a scalable data stack that reduces the time to acquire data by 92% and supports predictive AI.
GenAI Meets AI Data Management: Keboola's Google Cloud Marketplace Debut
Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.
Top 5 Data + AI Predictions for Financial Services in 2024
Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.
The Rise of ML-Centric Technology Consulting in 2024 and Beyond
Businesses globally are witnessing the transformational impact of applied AI and machine learning (ML) capabilities during this blossoming chapter of the Information Age. Therefore, the demand for niche ML consulting services will continue its robust growth trajectory as we enter the year 2024. An increasing number of enterprises are partnering with ML specialists and boutique tech consultants to craft their AI-driven future.
Myth vs. reality: 10 AI use cases in test automation today
For decades, the sci-fi dream of simply speaking to your device and having it perform tasks for you seemed far-fetched. In the realm of test automation and quality assurance, this dream is inching closer to reality. With the evolution of generative AI, we’re prompted to explore what’s truly feasible. Embedding AI into your quality engineering processes becomes imperative as IT infrastructures become increasingly complex and integrated, spanning multiple applications across business processes.
Episode 1: Why everything doesn't need to be generative AI | Rocket Software
Generative AI has everyone talking, but has that buzz overshadowed the potential of predictive AI? We talked with Parag Shah, Senior Director of Data and Analytics at Rocket Software, to explore the hype and hope around both generative and predictive AI.
AI Automation: Carving New Paths to Cost Savings, Innovation, and Competitive Advantage
AI automation involves leveraging artificial intelligence (AI) to automate repetitive tasks within operational workflows, thereby enhancing efficiency and productivity. This not only streamlines routine tasks within core business processes but also enables companies to scale growth efficiently by integrating a broad range of digital tools such as robotic process automation, APIs, and software robots.
Exploring 4 Impactful Examples of Using AI in Finance
For the banking and financial services industry, artificial intelligence (AI) isn't just a new tech trend. It's a powerful tool that will have a wide range of impacts, from risk management to operational efficiency and customer experience. According to Deloitte, the world’s top 14 investment banks could potentially boost their front-office productivity by 27% to 35% by leveraging generative AI.
[Virtual Summit] Enabling Quality Engineering in the AI Era: Unveiling the Top 5 Trends
In this video, we are going to explore the intersection of Artificial Intelligence (AI) and Quality Engineering, unveiling the top five trends that are currently shaping their symbiotic evolution. From harnessing the power of machine learning for intelligent test automation to adopting AI-driven enhanced defect prediction and prevention, we will examine how organizations can leverage these trends to elevate their software quality and testing practices.
2024's Top Data + AI Predictions in Advertising, Media and Entertainment
It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.