Category: Startup
Launch of MSP Guide: Offering Managed IT Services Tailored for Banks and Financial Institutions
Intelligent Technical Solutions (ITS) has unveiled its latest guide, shedding light on the potential advantages of opting for managed IT services for organizations operating within the financial sector. This guide underscores the viability of managed IT solutions, emphasizing their cost-effectiveness, adaptability, and enhanced security, making them a compelling choice for those aiming to streamline operations, boost efficiency, or establish robust tech infrastructure resilient against cybersecurity threats.
While primarily tailored for decision-makers within the financial sector, the ITS guide also extends its reach to educate other stakeholders interested in delving into the world of managed IT services. It offers a succinct overview of managed IT, encompassing the wide array of solutions proffered by managed IT service providers (MSPs) and critical considerations to ponder before engaging with any MSP.
The guide elaborates on the diverse spectrum of IT services that can be outsourced to an MSP, encompassing facets such as communication management, data analytics, managed security, cloud-based services, and VoIP-managed solutions. According to the guide, these services are adaptable, capable of scaling up or down in accordance with the unique requirements of clients.
Managed IT solutions present a distinct advantage for banks and financial institutions, granting them access to a provider’s comprehensive cybersecurity expertise and infrastructure, all without the need for acquisition, operation, or maintenance.
Addressing a pivotal concern, ITS has outlined a four-step framework in the guide to assist financial businesses in evaluating potential MSP partners and their ability to deliver on their commitments.
About Intelligent Technical Solutions
Intelligent Technical Solutions is dedicated to assisting clients in effectively managing their technology, providing rapid responses and support to minimize downtime. The company boasts numerous industry accolades, including the prestigious 2023 CRN Security 100 Award, recognizing it as a top MSP specializing in cloud-based security services.
A spokesperson from the company commented, “At ITS, we empower countless clients to make informed decisions regarding their technology. If you are interested in assessing the current state of your financial business and exploring how we can assist you in finding a suitable IT solution, we invite you to schedule a complimentary network assessment with us.”
The latest contender to ChatGPT, known as Claude 2, has officially entered the open beta testing phase
On Tuesday, Anthropic unveiled Claude 2, a substantial language model (LLM) akin to ChatGPT, proficient in coding, text analysis, and composition creation. In contrast to the initial Claude version launched in March, users can now explore Claude 2 freely on a new beta website. Additionally, it is accessible as a commercial API for developers.
Anthropic asserts that Claude is engineered to emulate conversations with a supportive colleague or a personal assistant. The new iteration incorporates valuable feedback from users of the preceding model, emphasizing its ease of interaction, clear articulation of reasoning, reduced propensity for generating harmful content, and an extended memory capacity.
Anthropic asserts that Claude 2 showcases notable advancements in three crucial domains: coding, mathematics, and reasoning. They note, “Our latest model achieved a 76.5% score on the multiple-choice section of the Bar exam, a marked improvement from Claude 1.3’s 73.0%.” Furthermore, when compared to college students applying for graduate programs, Claude 2’s performance places it in the top 10% on the GRE reading and writing examinations, with a comparable standing to the median applicant in quantitative reasoning.
Claude 2 boasts several significant improvements, including an expanded input and output capacity. As we’ve previously discussed, Anthropic has conducted experiments enabling the processing of prompts containing up to 100,000 tokens, allowing the AI model to analyze extensive documents, such as technical manuals or entire books. This extended capability also applies to the length of its generated content, facilitating the creation of longer documents.
Regarding its coding prowess, Claude 2 has exhibited a notable increase in proficiency. It achieved a higher score on the Codex HumanEval, a Python programming assessment, elevating from 56 percent to an impressive 71.2 percent. Similarly, in the GSM8k test, which assesses grade-school math problems, Claude 2 improved its performance from 85.2 to 88 percent.
A primary focus for Anthropic has been refining its language model to reduce the likelihood of generating “harmful” or “offensive” outputs in response to specific prompts, although quantifying these qualities remains subjective and challenging. An internal red-teaming evaluation revealed that “Claude 2 delivered responses that were twice as benign as Claude 1.3.”
Claude 2 is now accessible to the general public in the US and UK, serving individual users and businesses through its API. Anthropic has reported that companies like Jasper, an AI writing platform, and Source graph, a code navigation tool, have already integrated Claude 2 into their operations.
It’s crucial to keep in mind that while AI models like Claude 2 are proficient at analyzing lengthy and intricate content, Anthropic acknowledges their limitations. After all, language models occasionally generate information without factual basis. Therefore, it’s advisable not to rely on them as authoritative references but rather to utilize them for processing data you provide, especially if you possess prior knowledge of the subject matter and can verify the results.
Anthropic emphasizes that “AI assistants are most beneficial in everyday scenarios, such as summarizing or organizing information,” and cautions against their use in situations involving physical or mental health and well-being.
Tech1M Marks First Anniversary: Revolutionising the Global Hiring Landscape with Advanced AI Solutions
Tech1M, an AI-driven global hiring platform co-founded by Tommie Edwards (CEO) and Damilola Ogunmoye (CTO) in April 2022, celebrates its first anniversary, having made remarkable strides in the talent acquisition sector. Initially conceived as an edutech platform to develop one million tech talents through boot camps, mentorships, and work placements, Tech1M has since evolved into a powerful global hiring platform. The platform received over 5,000 applications from global talents at its outset and sponsored 600 candidates for training in various tech domains.
Leveraging its AI algorithm and video technology, Tech1M sources and matches talents for hiring managers, while also streamlining the hiring, onboarding, payment, and management processes. The platform ensures compliant hiring across 50+ countries while simplifying complex tasks related to compliance, taxes, benefits, and global remittance.
Tech1M has garnered accolades such as nominations for the Black Tech Achievement Awards (BTA Awards 2023) and the Great British Entrepreneurs Awards (GBEA 2022). Furthermore, Tech1M’s recent acceptance into the prestigious Techstars NYC, powered by JP Morgan accelerator program, highlights the company’s innovative vision and growth potential. CEO Tommie Edwards emphasizes Tech1M’s goal of streamlining job hunting and enhancing job satisfaction for over 800 million talents worldwide while providing hiring managers with a 4X better hiring experience. By integrating intelligent matching algorithms and an HR software suite, the platform offers businesses a seamless solution for global talent acquisition and management, complete with access to learning and mental well-being platforms.
With an eye on the future, Tech1M aims to disrupt the global workplace by simplifying the talent recruitment and retention process for hiring managers, while adhering to ESG principles.
About Tech1M
Tech1M is an intelligent hiring platform designed to source, match, hire, pay, and manage global talents for businesses worldwide. Founded in 2022, Tech1M is committed to helping companies of all sizes hire smarter and grow faster. For more information, visit https://tech1m.com.
Introducing the 2023 Launch of the Smart Money Concepts TradingView Indicator: Pioneering Cutting-Edge Technology
Smart-Money Trader is thrilled to announce the official launch date of its highly anticipated Tradingview indicator software. Rumors are already circulating among both seasoned observers and devoted Trading enthusiasts, as the momentous “release” date of the master pattern indicator has arrived. In 2023, Smart-Money Trader is unveiling three key aspects for its eagerly awaiting audience.
Foremost, anticipate an introduction to an innovative methodology seamlessly integrated into this financial charting system. The Master pattern indicator’s roots trace back over a century, drawing inspiration from the pioneering insights of renowned traders like Jesse Livermore and Wykoff. Their groundbreaking discoveries revolutionized trading systems, reshaping the landscape of financial markets. This revelation unlocked the understanding of the market’s three distinctive phases, enabling traders to decipher market movements and gauge market maker intentions.
Smart Money Trader’s commitment to delivering cutting-edge trading technology to a global audience makes this system’s availability to the masses hardly surprising. Their dedication to offering traders a significant advantage is abundantly clear.
Additionally, to celebrate the launch event, Smart-Money Trader will extend a substantial discount to early bird purchasers. This gesture aims to raise awareness among fellow traders about this groundbreaking technology.
For devoted industry enthusiasts, an insight into the creation of the Master pattern indicator is equally compelling. It has been a six-month journey from inception to the final product, a testament to the meticulous craftsmanship behind it. The Tradingview indicator software comprises three core components: contraction boxes, expansion lines, and liquidity lines. These elements form the bedrock of the market, unveiling the imprints left by market makers. This comprehensive approach promises to satisfy the discerning palates of Trading connoisseurs worldwide.
Seth Grey, Co-owner at Smart-Money Trader, adds, “The master pattern indicator is meticulously crafted to enable you to replicate the market makers’ strategies, ensuring you consistently align with the right side of the market.”
Pinecone, an AI startup, secures $100 million amid surging demand in the LLM vector database market
Pinecone, the prominent New York City-based vector database firm, renowned for supplying enduring memory solutions to substantial language models like OpenAI’s GPT-4, has officially disclosed its successful completion of a Series B funding round, securing a remarkable $100 million in investment at a valuation of $750 million. Leading this significant funding effort is the renowned venture capital firm, Andreessen Horowitz.
In 2021, Pinecone introduced its groundbreaking vector database, a fully managed service designed to empower engineers in the rapid development of high-speed, scalable applications by harnessing AI model embeddings and seamlessly transitioning them into production. In the current era of generative AI, Pinecone plays a pivotal role in assisting engineers in bridging the gap between chatbots and their organization’s proprietary data, ensuring accurate responses and averting any semblance of false information.
The ascendancy of ChatGPT, particularly in the past year, has propelled Pinecone to new heights, with its platform swiftly establishing itself as an indispensable component within the software ecosystem, specifically as the memory layer for various AI applications. The company proudly reported a substantial surge in its customer base throughout 2023, featuring prominent names such as Gong and Zapier, encompassing businesses of all sizes and industries. Notably, the vector database category has expanded to include additional tools, including Chroma, Weaviate, and Milvus.
Pinecone took off with the explosive shift to generative AI
When the company was originally founded, it had its sights set on the emergence of Large Language Models (LLMs). However, the rapid and explosive growth of generative AI took everyone by surprise, according to Edo Liberty, the founder and CEO of Pinecone (and former director of research and head of Amazon AI Labs), who shared his insights in a Zoom interview with VentureBeat.
Liberty described this unexpected development, saying, “It essentially breached the collective consciousness. It started as a gradual progression, but then suddenly, it skyrocketed overnight.” He went on to explain that with the launch of ChatGPT, millions of developers worldwide became excited and incredibly creative about the possibilities it offered, leading to the creation of impressive applications.
Furthermore, Liberty highlighted that generative AI had become a significant topic at the boardroom level across various industries. He emphasized, “Whether you are an architect, a law firm, or a consulting company, the impact of this technology on your business, whether positive or negative, became a crucial consideration. Companies had to strategize their approach.” He added, “I can’t recall a single company I’ve interacted with that hasn’t initiated some language and AI-related project.”
Developers’ interest in Pinecone continued to grow as they explored various applications for Large Language Models. Liberty cited recent examples in the AI community, where discussions revolved around the long-term potential of autonomous AI agents, with tools like Auto-GPT and BabyAGI gaining attention. He noted, “Both of these projects leverage Pinecone, and this contributed significantly to our remarkable growth. At one point, we were seeing 10,000 signups per day.
The long-term outlook for vector databases
This week, there has been a significant amount of discussion on Twitter regarding a recently published research paper. The paper explores the potential of a novel architecture called the recurrent memory transformer (RMT) to enable Large Language Models (LLMs) to retain information across up to 2 million tokens. Some have suggested that RMT could reduce the reliance on vector databases, while others argue that it may not, as RMT necessitates considerably longer inference times.
Greg Kogan, Vice President of Marketing at Pinecone, shared with VentureBeat earlier this week that although the company did not offer specific comments on the mentioned paper, there exists a substantial gap between concepts that prove effective in a laboratory setting and those that can successfully address the demands of large-scale, real-world applications. Factors such as cost, performance, ease of use, and engineering requirements play a pivotal role in bridging this gap. He emphasized Pinecone’s commitment to harnessing breakthrough technologies, including chatbots, and adapting them for practical, large-scale real-world applications.