iMerit | October 27, 2022
iMerit, a leading AI data solutions company, announced the second annual iMerit ML DataOps Summit, in partnership with TechCrunch, a virtual event focused on the intersection of machine learning data operations and artificial intelligence. The iMerit ML DataOps Summit is a live virtual event taking place on November 8 in the United States and November 9 in Asia-Pacific. Register for free.
More than 2,000 data scientists, engineers and machine learning professionals will gather to explore commercializing AI with data intelligence, ML DataOps readiness for enterprise AI, solving data edge cases in production AI, what's trending in ML DataOps.
"iMerit looks forward to gathering the top minds in artificial intelligence to discuss strategies around machine learning data operations and unveiling why leveraging human intelligence and a data centric approach are critical to advancing AI.
Radha Basu, iMerit Founder and CEO
Additionally, the iMerit ML DataOps Summit will host a virtual expo showcasing data annotation and automation tool providers that are building the future of ML DataOps.
iMerit is a leading AI data solutions company providing high-quality data across computer vision, natural language processing and content services that powers machine learning and artificial intelligence applications for large enterprises. iMerit provides end-to-end data labeling services to Fortune 500 companies in a wide array of industries including agricultural AI, autonomous vehicles, commerce, geospatial, government, financial services, medical AI and technology. iMerit employs more than 5,500 full-time data annotation experts in Bhutan, Europe, India and the United States. Raising $23.5 million in funding to date, iMerit investors are British International Investment, Khosla Impact, Michael and Susan Dell Foundation and Omidyar Network. For more information, visit imerit.net.
LTI | August 03, 2022
Larsen & Toubro Infotech , a global technology consulting and digital solutions company, has announced the expansion of its collaboration with Microsoft to focus on developing high-value cloud solutions for enterprises. As a part of this multi-year collaboration, LTI has launched a dedicated Microsoft business unit that develops and offers end-to-end digital transformation solutions.
Through this association, LTI will also train 12,000 professionals from its existing workforce on various Microsoft technologies by 2024. The main objective of this effort is to enable skill development of LTI employees that are a part of the Microsoft unit and enhance their competencies across technologies like cloud, data, IoT and security.
“LTI has a long-standing relationship with Microsoft as a strategic partner, service provider, and customer. Our reaffirmed partnership with Microsoft will enable us to innovate and offer 170+ distinct services to our joint customers. Additionally, we will also focus on the training and upskilling of our talent pool that is a part of the dedicated Microsoft business unit, to empower them to meet changing business and market requirements.”
Nachiket Deshpande, Chief Operating Officer, LTI
Siddharth Bohra, Chief Business Officer & Head of Cloud Business Unit, LTI, said, “Enterprises across the globe are increasingly embracing cloud, and LTI has made impressive strides in developing a multi-dimensional capability on Azure to meet this demand. As part of this collaboration, LTI and Microsoft will jointly innovate, develop, and sell solutions to assist enterprises in acceleration of their digital transformation journeys.”
Julie Sanford, Vice President, Partner GTM, Programs & Experiences, Microsoft, said, “Through their new Microsoft Business Unit, LTI will be able to help customers implement cloud strategies and drive business transformation across industries and geographies. We look forward to working with LTI as they build new capabilities and deliver innovative solutions on the Microsoft Cloud.”
Through this association, LTI will attain the Solution Partner designation across all the Microsoft Solution Areas. LTI also has the following advanced specializations on Azure:
- SAP on Azure: Validating the capability of implementing SAP solutions on Azure.
- Analytics on Azure: Demonstrating the expertise in delivering analytics solutions in Microsoft Azure.
- Windows Server and SQL Server: Expertise in migrating production workloads to Microsoft Azure.
- Modernization of Web Applications: Validating expertise in migrating and deploying production web application workloads, applying DevOps, and managing app services in Microsoft Azure.
- Kubernetes on Azure: validating capabilities in deploying and managing production workloads in the cloud using containers and managing hosted Kubernetes environments in Azure.
- Low Code Application Development: Expertise in building solutions using Power Apps.
- The Data Warehouse Migration to Microsoft Azure: Validating expertise in analyzing existing workloads and performing ETL operations to migrate data to cloud-based data warehouses.
- Cloud Security: Validates a means for your company to showcase capabilities to implement comprehensive security solutions across Azure, hybrid, and multi-cloud environments.
- Threat Protection: provides a means for your company to showcase proven, verifiable expertise in deploying Microsoft Threat Protection or Microsoft Cloud App Security workloads.
- AI and Machine Learning in Microsoft Azure: Validates capabilities on enabling customer adoption of Al and implementing Azure solutions for Al-powered apps.
LTI is an Azure Expert MSP Partner which demonstrates deep knowledge, extensive experience, and proven success in implementing specialized workloads such as Migration and Modernization, SAP on Azure, Data Analytics, Internet of things (IoT), Security, and Microsoft Dynamics 365.
LTI is a global technology consulting and digital solutions Company helping more than 495 clients succeed in a converging world. With operations in 33 countries, we go the extra mile for our clients and accelerate their digital transformation journeys. Founded in 1997 as a subsidiary of Larsen & Toubro Limited, our unique heritage gives us unrivalled real-world expertise to solve the most complex challenges of enterprises across all industries. Each day, our team of more than 46,000 LTItes enable our clients to improve the effectiveness of their business and technology operations and deliver value to their customers, employees, and shareholders.
Akkio | February 18, 2022
Akkio, the no-code AI company, today announced a wide range of new features, functionality and integrations to make it much easier for CIOs to deploy AI in any size organization.
For data analysts, the new offering delivers AI-driven insights up to 10X faster than before. And it does so in a workflow that is remarkably easier to use than other predictive analytic tools. For CIOs, AI can now be leveraged across their existing Analytics team to quickly optimize business performance in use cases ranging from sales to marketing to even forecasting.
Augmented AI has been rapidly growing. According to Gartner®, “The data science and machine learning (DSML) market has a relentless pace of innovation, reflected by multiple trends such as democratization, augmentation, operationalization and composability. This is giving shape to new platform generations.” (Source: The State of Data Science and Machine Learning, December 2021).
With this new update, teams in business units without AI expertise or experience can now easily train models and get insights on the most popular enterprise data sources and applications, now including Snowflake, BigQuery, Airtable, Hubspot, Salesforce, and Google Sheets. We’re trying to make AI as easy to use in business as Excel spreadsheets. Now anyone can get quick data wins - using AI to surface patterns and optimize key business outcomes.”
Jon Reilly, co-founder and COO of Akkio.
Transformations for Easier Data Preparation
Too much time is spent in any size organization on data preparation. Akkio greatly simplifies common tasks in getting data ready for an evaluation, such as filtering and merging datasets. Filter out unnecessary data rows from datasets in minutes. Enrich training data by merging different data sources with a single click, using machine learning to match records without unique IDs. Further customize data with these quick transformations to generate more and more accurate models quickly in response to changing business conditions.
New Forecasting Models
Akkio now offers time series and anomaly detection models, custom to your data. Time series models look at collections of observations in chronological order to surface patterns over time and forecast likely future outcomes. Commonly applied to use cases such as churn reduction, forecasting quarterly revenue numbers, and weekly inventory figures, deploying time series forecasts makes any organization’s data more valuable. And now Akkio provides a new feature that detects anomalies in data that allows preventative maintenance on IoT devices and detection of fraudulent transactions, among other use cases.
Predictive Data Analytics Extract Immediate Value from Data
Organizations recognize that the data they collect across their business gives them competitive market advantages if they can put that data to work and take action. Data analysts can now instantly gain insights from machine learning models that find and surface patterns in their data. Akkio offers the ability for analysts to see the most predictive factors in their data and understand the combination of factors that drive outcomes. Akkio also now automatically creates segments, or clusters, of data that groups together cohorts around an outcome. A business can then take action on segments by targeting specific cohorts with different offers, optimizing their conversion.
The explosive growth of complex and time-based data requires intelligent tooling that helps users make decisions much faster - analyzing data at a speed, volume and complexity that is beyond the reach of the human mind. No-code AI from Akkio can help businesses to extract the full value of their data.
Akkio, the no-code AI company, makes artificial intelligence easy enough for anyone to use. Combining state-of-the-art machine learning (ML) technology with a simple, intuitive platform lets any company become an AI-powered business.