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Quansight Acquires Cobalt Speech and Language, Expanding AI Capabilities in Voice and Language Technologies
Quansight Acquires Cobalt Speech and Language, Expanding AI Capabilities in Voice and Language Technologies

Business Wire

time05-05-2025

  • Business
  • Business Wire

Quansight Acquires Cobalt Speech and Language, Expanding AI Capabilities in Voice and Language Technologies

AUSTIN, Texas--(BUSINESS WIRE)--Quansight, a leading innovator in AI/ML solutions and open-source technologies, today announced its acquisition of Cobalt Speech and Language, a premier provider of custom speech and language technology founded by voice recognition pioneer Jeff Adams. This strategic acquisition enhances Quansight's ability to deliver cutting-edge, production-grade AI systems, especially in voice-based applications for enterprise and embedded systems. Founded in 2014, Cobalt has earned a reputation for its deep expertise in automatic speech recognition (ASR), natural language understanding (NLU), and custom voice solutions across dozens of languages. Cobalt's clients span defense, healthcare, call centers, and industrial automation, benefiting from its high-accuracy, privacy-conscious deployments. 'Joining forces with Quansight marks an exciting new chapter for Cobalt,' said Jeff Adams, CEO of Cobalt Speech and Language. 'We've always focused on delivering highly customized speech and language tools that work in the real world, not just in the lab. With Quansight's complementary strengths in AI platforms, open-source infrastructure, and data science, we're well positioned to accelerate innovation and deliver even more impactful voice-enabled solutions.' 'Cobalt brings a remarkable team and deep technical expertise to Quansight,' said Travis Oliphant, CEO of Quansight. 'Jeff Adams and his team have built some of the most robust speech systems in the industry. Their work aligns perfectly with our vision of delivering trustworthy, open, and adaptable AI solutions. We're thrilled to welcome them to the Quansight family.' The acquisition supports Quansight's broader strategy of delivering custom AI stacks that organizations can fully own and control, freeing them from vendor lock-in and enabling long-term flexibility and innovation. Cobalt will continue to operate as a distinct team within Quansight, with Jeff Adams continuing to lead speech and language efforts as a strategic advisor. About Quansight Founded by Travis Oliphant, the creator of NumPy and SciPy, Quansight builds AI/ML platforms and custom data solutions rooted in open-source technologies. Quansight's clients span Fortune 500 companies, governments, and startups seeking to harness AI responsibly and sustainably. About Cobalt Speech and Language Cobalt provides high-accuracy, low-latency speech and language technology tailored to enterprise, industrial, and mission-critical applications. The company was founded by Jeff Adams, formerly head of Amazon's original Alexa speech team and a veteran of the speech recognition industry.

Data Science Interview Preparation Course 2025 For Top Data Scientist Jobs at Google Amazon Meta Apple Netflix
Data Science Interview Preparation Course 2025 For Top Data Scientist Jobs at Google Amazon Meta Apple Netflix

Business Upturn

time24-04-2025

  • Business
  • Business Upturn

Data Science Interview Preparation Course 2025 For Top Data Scientist Jobs at Google Amazon Meta Apple Netflix

Santa Clara, April 24, 2025 (GLOBE NEWSWIRE) — Santa Clara, California – As artificial intelligence and machine learning evolve and mature, the emergence of synthetic data has become a pivotal development, addressing critical challenges in data privacy, scarcity, and bias. Synthetic data is artificially generated information that mirrors real-world data and enables organizations to enhance machine learning models without compromising sensitive information. This innovation is particularly significant as companies increasingly rely on vast datasets to drive AI advancements. For more information, visit: ​ Recognizing the growing importance of synthetic data in the industry, Interview Kickstart has meticulously designed its Data Science Course to equip professionals with the skills necessary to navigate and leverage the evolving AI/ML industry. The course also equips the learners with the interview skills required to crack data science roles in FAANG companies. The comprehensive curriculum begins with foundational programming in Python over six weeks, covering essentials such as data structures, object-oriented programming, and libraries like NumPy and Pandas. This ensures participants are proficient in the primary language used for data analysis and machine learning. Following this, a four-week module on databases & SQL programming delves into database modeling and advanced SQL techniques, enabling learners to manage and query data effectively.​ A critical component of the course is the nine-week segment on classical machine learning, where participants explore regression and classification algorithms, bagging and boosting techniques, and model evaluation methods. Understanding these algorithms is essential for generating and validating synthetic data, as they form the backbone of many data generation processes. The curriculum also focuses on advanced machine learning & deep learning topics, introducing neural networks and architectures pertinent to creating complex synthetic datasets.​ Interview Kickstart places a lot of emphasis on practical learning and the Data Science course offers a selection of six capstone projects over four weeks, allowing participants to apply their knowledge to real-world scenarios. These projects, such as 'Product Reviews Summary' and 'Stock Price Analysis,' involve data synthesis and analysis, reflecting tasks professionals encounter in the field. Engaging in these projects prepares learners to handle synthetic data generation and application effectively. The Data Science course includes project-led learning where candidates are involved in 40+ assignments and mini-projects, 150+ hours of instructor-led learning, 75+ hours of hands-on learning, and 6 Capstone projects. In addition to technical coaching, this data science program offers data science interview preparation with FAANG+ technical interview guidance and mock interviews including resume building, LinkedIn profile optimization, personal branding, live behavioral workshops, and more. Career and behavioral sessions spanning three weeks provide guidance on interview strategies, and behavioral question responses, and offer negotiations, further enhancing participants' readiness for the job market. Interview Kickstart's Data Science Course is tailored for a diverse range of professionals, including those from non-technical backgrounds seeking to enter the data science field, recent graduates aspiring to become data scientists, and experienced software engineers and data analysts aiming to expand their skill set. The program's structure accommodates working professionals, with live classes scheduled on weekends and evening coaching sessions, ensuring flexibility without compromising the depth of learning.​ By integrating the study and application of synthetic data into its curriculum, Interview Kickstart prepares data science professionals to meet the evolving demands of the industry. Participants not only gain a robust foundation in data science principles but also acquire specialized knowledge in synthetic data generation and utilization. This positions them competitively in the job market, ready to contribute to innovative solutions in AI and machine learning that rely on synthetic data methodologies.​ For more information visit About Interview Kickstart Founded in 2014, Interview Kickstart is a premier upskilling platform empowering aspiring tech professionals to secure roles at FAANG and top tech companies. With a proven track record and over 20,000 successful learners, the platform stands out with its team of 700+ FAANG instructors, hiring managers, and tech leads, who deliver a comprehensive curriculum, practical insights, and targeted interview prep strategies. Offering live classes, 100,000+ hours of pre-recorded video lessons, and 1:1 sessions, Interview Kickstart ensures flexible, in-depth learning along with personalized guidance for resume building and LinkedIn profile optimization. The holistic support, spanning 6 to 10 months with mock interviews, ongoing mentorship, and industry-aligned projects, equips learners to excel in technical interviews and on the job. ### For more information about Interview Kickstart, contact the company here: Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463 [email protected] 4701 Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States

Data Science Interview Preparation Course 2025 For Top Data Scientist Jobs at Google Amazon Meta Apple Netflix
Data Science Interview Preparation Course 2025 For Top Data Scientist Jobs at Google Amazon Meta Apple Netflix

Yahoo

time24-04-2025

  • Business
  • Yahoo

Data Science Interview Preparation Course 2025 For Top Data Scientist Jobs at Google Amazon Meta Apple Netflix

Santa Clara, April 24, 2025 (GLOBE NEWSWIRE) -- Santa Clara, California - As artificial intelligence and machine learning evolve and mature, the emergence of synthetic data has become a pivotal development, addressing critical challenges in data privacy, scarcity, and bias. Synthetic data is artificially generated information that mirrors real-world data and enables organizations to enhance machine learning models without compromising sensitive information. This innovation is particularly significant as companies increasingly rely on vast datasets to drive AI advancements. For more information, visit: ​ Recognizing the growing importance of synthetic data in the industry, Interview Kickstart has meticulously designed its Data Science Course to equip professionals with the skills necessary to navigate and leverage the evolving AI/ML industry. The course also equips the learners with the interview skills required to crack data science roles in FAANG companies. The comprehensive curriculum begins with foundational programming in Python over six weeks, covering essentials such as data structures, object-oriented programming, and libraries like NumPy and Pandas. This ensures participants are proficient in the primary language used for data analysis and machine learning. Following this, a four-week module on databases & SQL programming delves into database modeling and advanced SQL techniques, enabling learners to manage and query data effectively.​ A critical component of the course is the nine-week segment on classical machine learning, where participants explore regression and classification algorithms, bagging and boosting techniques, and model evaluation methods. Understanding these algorithms is essential for generating and validating synthetic data, as they form the backbone of many data generation processes. The curriculum also focuses on advanced machine learning & deep learning topics, introducing neural networks and architectures pertinent to creating complex synthetic datasets.​ Interview Kickstart places a lot of emphasis on practical learning and the Data Science course offers a selection of six capstone projects over four weeks, allowing participants to apply their knowledge to real-world scenarios. These projects, such as "Product Reviews Summary" and "Stock Price Analysis," involve data synthesis and analysis, reflecting tasks professionals encounter in the field. Engaging in these projects prepares learners to handle synthetic data generation and application effectively. The Data Science course includes project-led learning where candidates are involved in 40+ assignments and mini-projects, 150+ hours of instructor-led learning, 75+ hours of hands-on learning, and 6 Capstone projects. In addition to technical coaching, this data science program offers data science interview preparation with FAANG+ technical interview guidance and mock interviews including resume building, LinkedIn profile optimization, personal branding, live behavioral workshops, and more. Career and behavioral sessions spanning three weeks provide guidance on interview strategies, and behavioral question responses, and offer negotiations, further enhancing participants' readiness for the job market. Interview Kickstart's Data Science Course is tailored for a diverse range of professionals, including those from non-technical backgrounds seeking to enter the data science field, recent graduates aspiring to become data scientists, and experienced software engineers and data analysts aiming to expand their skill set. The program's structure accommodates working professionals, with live classes scheduled on weekends and evening coaching sessions, ensuring flexibility without compromising the depth of learning.​ By integrating the study and application of synthetic data into its curriculum, Interview Kickstart prepares data science professionals to meet the evolving demands of the industry. Participants not only gain a robust foundation in data science principles but also acquire specialized knowledge in synthetic data generation and utilization. This positions them competitively in the job market, ready to contribute to innovative solutions in AI and machine learning that rely on synthetic data methodologies.​ For more information visit About Interview Kickstart Founded in 2014, Interview Kickstart is a premier upskilling platform empowering aspiring tech professionals to secure roles at FAANG and top tech companies. With a proven track record and over 20,000 successful learners, the platform stands out with its team of 700+ FAANG instructors, hiring managers, and tech leads, who deliver a comprehensive curriculum, practical insights, and targeted interview prep strategies. Offering live classes, 100,000+ hours of pre-recorded video lessons, and 1:1 sessions, Interview Kickstart ensures flexible, in-depth learning along with personalized guidance for resume building and LinkedIn profile optimization. The holistic support, spanning 6 to 10 months with mock interviews, ongoing mentorship, and industry-aligned projects, equips learners to excel in technical interviews and on the job. ### For more information about Interview Kickstart, contact the company here:Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463aiml@ Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States CONTACT: Burhanuddin PithawalaSign in to access your portfolio

Data Science Interview Preparation Course 2025 - Google Apple Amazon Interview Questions MCQ Answers
Data Science Interview Preparation Course 2025 - Google Apple Amazon Interview Questions MCQ Answers

Yahoo

time17-03-2025

  • Business
  • Yahoo

Data Science Interview Preparation Course 2025 - Google Apple Amazon Interview Questions MCQ Answers

Santa Clara, March 17, 2025 (GLOBE NEWSWIRE) -- Santa Clara, California - The AI talent race has intensified as companies strive to innovate and maintain a competitive edge. This competition has led to a significant increase in job postings seeking AI expertise, with nearly one in four new U.S. tech job listings now explicitly requiring such skills. This trend highlights the urgency for professionals to upskill and align their competencies with industry demands. For more information visit This surge in demand underscores the need for professionals adept in data science and machine learning. Interview Kickstart (IK) addresses this need through its Data Science course, which is designed to equip individuals with the skills required to excel in this competitive field. Interview Kickstart's Data Science course is meticulously crafted to meet these demands. The program begins with a solid foundation in Python programming, covering essentials such as data structures, object-oriented programming, and the use of libraries like NumPy and Pandas. A comprehensive understanding of mathematics is vital in data science. The Interview Kickstart's Data Science course delves into descriptive statistics, probability, statistical methods, sampling, and hypothesis testing. This mathematical rigor enables participants to perform robust data analyses and derive meaningful insights. Participants also learn techniques for data transformation, preprocessing, feature engineering, and dimensionality reduction. These skills are essential for preparing data for modeling and uncovering underlying patterns. Given the importance of data science in advanced AI/ML applications, another module introduces participants to neural networks, image processing, computer vision, and natural language processing. The Interview Kickstart's Data Science course includes training in big data analysis using tools like Apache Spark and cloud computing platforms. This knowledge equips participants to handle large datasets efficiently, a common requirement in data-driven organizations. Data visualization and storytelling are also emphasized, teaching participants to create compelling visualizations that effectively communicate data insights to stakeholders. To bridge the gap between theory and practice, the course also offers capstone projects that simulate real-world challenges. These projects provide hands-on experience, enabling participants to apply their learning to practical scenarios. Interview Kickstart's program also offers extensive interview preparation, including data structures and algorithms, behavioral interview training, and mock interviews with industry experts. This holistic approach ensures participants are well-prepared to navigate the rigorous interview processes of top tech companies. The Interview Kickstart Data Science Course is designed for aspiring data scientists, engineers, and professionals from non-technical backgrounds looking to transition into AI and ML roles. Taught by FAANG+ ML Engineers, the program provides a 360° learning experience, covering essential data science concepts, machine learning, and real-world applications. The course includes 1:1 coaching, technical mentoring, and homework assistance, ensuring personalized support. Participants work on a capstone project, gaining exposure to real-world machine learning challenges. To prepare for job interviews, the program offers dedicated interview prep modules and mock interviews with top-tier engineers. Additionally, it focuses on career skills development, including resume building, LinkedIn optimization, and behavioral training. With a structured approach to data science and hands-on experience, this course is ideal for junior professionals, recent graduates, and experienced engineers looking to advance in AI and ML careers. As AI continues to permeate various sectors, the demand for data science professionals is expected to grow. Interview Kickstart's Data Science course positions professionals to capitalize on these opportunities, providing them with the skills and confidence to succeed in the competitive tech job market. To lear more visit About Interview Kickstart Founded in 2014, Interview Kickstart is a premier upskilling platform empowering aspiring tech professionals to secure roles at FAANG and top tech companies. With a proven track record and over 20,000 successful learners, the platform stands out with its team of 700+ FAANG instructors, hiring managers and tech leads, who deliver a comprehensive curriculum, practical insights, and targeted interview prep strategies. Offering live classes, 100,000+ hours of pre-recorded video lessons, and 1:1 sessions, Interview Kickstart ensures flexible, in-depth learning along with personalized guidance for resume building and LinkedIn profile optimization. The holistic support, spanning 6 to 10 months with mock interviews, ongoing mentorship, and industry-aligned projects, equips learners to excel in technical interviews and on the job. ### For more information about Interview Kickstart, contact the company here:Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463aiml@ Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States CONTACT: Burhanuddin PithawalaSign in to access your portfolio

OpenTeams Proudly Partners with the Open-Source AI Foundation (O-SAIF) to Promote Safety and Transparency of AI in U.S. Government
OpenTeams Proudly Partners with the Open-Source AI Foundation (O-SAIF) to Promote Safety and Transparency of AI in U.S. Government

Yahoo

time28-02-2025

  • Business
  • Yahoo

OpenTeams Proudly Partners with the Open-Source AI Foundation (O-SAIF) to Promote Safety and Transparency of AI in U.S. Government

WASHINGTON, February 28, 2025--(BUSINESS WIRE)--OpenTeams, an industry leader in tailored, open source AI that protects proprietary data while being flexible, transparent and ethical, is proud to announce its partnership and support of the Open-Source AI Foundation (O-SAIF), a newly-formed advocacy group committed to transparency and accountability in AI systems used by civilian government agencies. O-SAIF aims to educate lawmakers, policymakers and citizens on the risks of using closed-source AI within civilian government agencies. O-SAIF announced last week the launch of its $10 million advertising campaign to inform the public on the dangers of black-box AI. OpenTeams Founder and President, Travis Oliphant, was present at the event. "The possibilities of what we can do with open source programs are endless, and its inherent transparency and auditability are a stark contrast to the black-box AI models currently in use by many major government organizations," said Oliphant. "The future of AI in the US government – and all public sector entities – can and will be rooted in open source." "The future of global conflict is digital, and the greatest threat is no longer combat – it's governmental reliance on black-box AI systems they don't control. Giving commercial AI unprecedented access to sensitive government data, without any oversight as to how it is engineered, creates new risks including cyber warfare, misinformation and strategic destabilization," said Joe Merrill, CEO of OpenTeams. "In the world of AI and large language models, transparency through open source is the only way to protect against bad actors, bias, data exploitation and national security threats. There is absolutely no place for black-box AI in the government." "It's an honor to have OpenTeams joining our coalition of partners working to ensure ethical AI standards for government technology - and such an impactful opportunity for us to have an industry leader like Travis Oliphant joining our board!" said Brittany Kaiser, O-SAIF Chair. OpenTeams, founded by open source pioneer Travis Oliphant, who currently serves as its President, works to bring ethical, transparent and fully customizable AI solutions to companies across the public and private sector. Travis is also the Founder of Quansight and Anaconda, and Creator of NumPy and SciPy. About OpenTeams OpenTeams brings tailored, open source AI to companies in a way that protects their proprietary data while being flexible, transparent and ethical. In partnership with Quansight, the industry-leading open source data, science and engineering firm, we aim to solve the unique, big problems that companies of all sizes and sectors face and eliminate the need for black-box AI. OpenTeams was founded by Travis Oliphant, the open source pioneer and advocate who also founded Quansight and Anaconda, as well as the creator of NumPy and SciPy. We're proud to work with changemakers and visionaries across tech, finance, government and science, including Meta, Google, Amazon, TDK, and numerous government agencies. Learn more at View source version on Contacts Media Contact Profile Advisors(347) 343-2999openteams@ Sign in to access your portfolio

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