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Financial Services

Unstructured Data

ESG Data Solutions

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Financial

Integrating ESG Datasets into Investment Operations

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Integrating ESG datasets helps blend finance and investment values. However, integrating ESG datasets are challenging with the existing business operations.

Data available from firms vary in quality, quantity, and relevance for investment decisions. Companies need help in integrating ESG datasets into investment decisions.

**Turn the data and insights tap on**

Straive’s AI-enabled end-to-end unstructured data platform, the Straive Data Platform (SDP) helps accelerate ESG data acquisition and enrichment across diverse sources. We help in customizing data with defined metrics for better data-driven decisions.

[Straive’s](https://www.straive.com) predefined data rules on unstructured data produce advanced training ESG datasets that later automatically extract the data from various sources in the required format.

Download our whitepaper to know more on how to integrate ESG datasets.

Integrating ESG datasets helps blend finance and investment values. However, integrating ESG datasets is challenging with the existing business operations. Data available from firms vary in quality, quantity, and relevance for investment decisions. 

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ESG Asset Management Whitepaper -The rising expectations to integrate ESG data into investment decision-making. Asset managers are seeking to optimize their ESG data operation capabilities for a better and sustainable investment decision.

The rising expectations to integrate ESG data into investment decision-making. Asset managers are seeking to optimize their ESG data operation capabilities for a better and sustainable investment decision.

Integrating ESG Datasets into Investment Operations - Straive

Data Solution

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Whitepapers

ESG Asset Management Whitepaper - Asset Managers Addressing ESG Data Intricacies

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The rising expectations to integrate ESG data into investment decision-making. Asset managers are seeking to optimized their ESG data operation capabilities for better and sustainable investment decision.

However, the challenge is - ESG data mostly sits on unstructured and diverse formats. Therefore, to transform it into an actionable insights need robust data solution for efficient data workflow and real-time ESG insights.

**Advanced Analytics to achieve better insights & investment decisions**


Straive’s AI-enabled end-to-end unstructured data platform, Straive Data Platform (SDP) helps to accelerates ESG data acquisition and enrichment across diverse sources. We help to customize data with defined metrics for better data-driven decisions.

Download our whitepaper to know how Straive’s data platform converts ESG data into actionable insights.


The rising expectation is to integrate ESG data into investment decision-making. As a result, asset managers are seeking to optimize their ESG data operation capabilities for a better and sustainable investment decision.


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Asset Manager - Addressing ESG Data Intricacies

ESG Asset Management Whitepaper -The rising expectations to integrate ESG data into investment decision-making. Asset managers are seeking to optimize their ESG data operation capabilities for a better and sustainable investment decision

Download ESG Asset Management Whitepaper -The rising expectations to integrate ESG data into investment decision-making. Asset managers are seeking to optimize their ESG data operation capabilities for a better and sustainable investment decision

ESG Asset Management Whitepaper - Straive

Localization

Dubbing Services

Education Learning

Video Localization in the Digital - Localization Services

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In this content-driven economy, video content has become a preferred choice of communication. The evolving market dynamics and the customer shift towards their local language have mandated enterprises to adapt and transform their communication strategies that will resonate and appeal to the customers.

This paper emphasizes on the strategic importance of video localization in helping businesses to increase their:

- Revenue share
- Content reach
- Audience base

[Video localization](video-localization-in-the-digital-era-whitepaper) is empowering the digital era and is a key for customer acquisition, retention, and market share expansion. 

Download our Whitepaper to discover the power of localization.

Whitepaper on Localization Services - Download straives whitepapers Video localization is empowering the digital era and is a key for customer acquisition, retention, and market share expansion.

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Video Localization in the Digital Era 

Video Localization in the Digital Era - Localization Services | Whitepapers | Straive

EdTech

STM Publishing

Peer Review Management

Publishing

Peer Review Management - Challenges & Opportunities

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Publishing processes between acceptance and publication have transformed in the last decade through standardization and automation of production as well as preview publication in place of traditional issue-based approaches. Publishers have pushed the boundaries in terms of cost-cutting and time-to-market.

While upstream processes between submission and acceptance have received some attention, changes have been incremental rather than radical. The increase in submissions seen through 2020 and into 2021 and the growth of preprints as substitutes for formal publication suggest that the time is ripe for a fresh look at this challenge.

Download our whitepaper going deep into the opportunities and challenges with peer review. We take a look at some big questions, including:

- What an efficient peer review process look like
- How the burden of peer review could be more equitably distributed
- Technology & Innovation in peer review

Download our whitepaper, delving into the opportunities and challenges with peer review. We look at some big questions, including – What an efficient peer review process looks like, Technology & Innovation in peer review, etc.

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Peer Review Management - Download our whitepaper, delving into the opportunities and challenges with peer review. We look at some big questions, including – What an efficient peer review process looks like, Technology & Innovation in peer review, etc.

Peer Review Management Challenges and Opportunities - Case Studies | Straive

Research Content

Unstructured data - Transform Content to Actionable Data and Unlock New Business Opportunities Through AI

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The promise of AI has been long time coming, but it is finally enabling content creators to streamline complex business processes, uncover rich insights, and deliver greater value.

**Artificial Intelligence** technology has come to dominate the business world in a relatively short period of time. As a concept, it emerged from a 1956 workshop at Dartmouth College, where a handful of computer scientists theorized how machines would learn, analyze language, and complete tasks. From this workshop, the term artificial intelligence (AI) was coined and scientists discussed the future of machine learning, neural networks, and deep learning–essentially laying the foundation for the automation revolution now underway.

Many AI applications remained theoretical or experimental for decades because most computers could not process information quickly enough or store the massive amount of data needed to complete more complex tasks. Only recently have computer processing speeds and storage capabilities advanced to a point where AI can tackle highly nuanced problems like language and content analysis. In just the last four years, these advancements have made a huge impact on a variety of businesses by streamlining processes that have been predominately manual, such as content analysis and categorization.

The applications of AI are nearly limitless, and the technology is ushering in a new era of content creation and enrichment. Effectively, AI and machine learning are converting content into actionable data for businesses, helping professionals extract key concepts from medical research, meet intricate financial regulatory requirements, and streamline the production of academic journals.

Today, the field of **artificial intelligence** encompasses several solutions that help businesses quickly analyze and understand wide swathes of content. Those solutions include machine learning, natural language processing, computer vision, and deep learning.

The promise of AI has been long time coming, but it is finally enabling content creators to streamline complex business processes, uncover rich insights, and deliver greater value.

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## With this e-book, we bring you insights on how to 
- **Gain competitive advantage** - Combining unstructured data with traditional data pipeline, helps to provide a single holistic view of data supply chain
- **Unlock actionable insights** - Analyzing unstructured data helps identify new trends and hard to spot patterns, improve customer satisfaction, and highlight new areas of opportunities
- **Save on costs** - Processing unstructured data would help  enterprises reduce the cost of operations by 30 to 60%
- Deliver accuracy up to **97% with 100%** on-time delivery
- Reduce time to market by **38-40%**

Transform Content to Actionable Data and Unlock New Business Opportunities Through AI

Transform Content to Actionable Data and Unlock New Business Opportunities Through AI -Straive

Accessibility

Web Accessibility - Financial Services Accessibility Whitepapers

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Today, more people than ever before are going online to do personal banking, research and apply for loans, and access financial information and toolkits.

This includes people with disabilities. To meet this growing demand, financial institutions must break down the barriers to online banking and investment by offering accessible products and services.

Download our whitepaper to learn more about why financial institutions should prioritize digital accessibility, what they will gain from it, the challenges of implementation, and possible solutions.

Using Assistive Technologies to make Online Financial Services Accessible - Financial institutions are continuously improving digital financial services accessibility based on their customers

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Breaking the Barriers to Online Financial Services Accessibility

Breaking the Barriers to Online Financial Services Accessibility - Straive

Data Solutions

Unstructured data - Augmenting Anti-Money Laundering Workflows with Supplementary Technologies

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The banking sector is being seen as the first line of defense against money laundering, as regulators ask banks to gather customer information that will help surface, identify, and prevent financial crime. Even with increasing compliance-related costs, banks still face non-compliance issues. Emerging regulatory technologies can help facilitate compliance by helping AML analysts make informed decisions.

Anti-Money Laundering (AML) is a challenging regulation for banks – even more so for large, diverse financial institutions with a global footprint. What makes complying with AML regulations a challenge is because it involves complex data, documentation in multiple formats, and significant human intervention in the form of AML analysts. Regulations promulgated in the aftermath of the financial crisis, technological innovations, diverse identity regimes, and the need to correlate data from multiple sources, have created a complex environment of regulatory change for the banking sector. The banking sector has taken its compliance obligations seriously and has made significant investments in time, effort, and capital to meet compliance requirements.

The banking sector is being seen as the first line of defense against money laundering, as regulators ask banks to gather customer information that will help surface, identify, and prevent financial crime. Even with increasing compliance-related costs, banks still face non-compliance issues.

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Augmenting Anti-Money Laundering Workflows with Supplementary Technologies

The banking sector is being seen as the first line of defense against money laundering, as regulators ask banks to gather customer information that will help surface, identify, and prevent financial crime. Even with increasing compliance-related costs, banks still face non-compliance issues. Emerging regulatory technologies can help facilitate compliance by helping AML analysts make informed decisions.