Altair (Nasdaq: ALTR), a global leader in computational intelligence, is thrilled to welcome Aitek as a new channel partner. Within the partnership, Aitek will offer Altair’s leading data analytics and artificial intelligence (AI) solutions to its customers throughout the North, West, and Central African Regions.

“We are delighted to announce this strategic partnership to expand further into a dynamic, fast-growing region that has the capacity to rapidly adopt technological solutions,” said Stefano Deiana, vice president of Altair France, Italy, Spain, and Africa, Altair. “Aitek owes its success to its strong local presence in several countries, in addition to its strong integration in technology and business environments.”

Established in North, Central, and West Africa, Aitek’s main mission is to be the key partner between Altair and its key accounts on the African continent. This partnership confirms Altair and Aitek’s commitment to providing advanced, trusted technological solutions to companies and organizations throughout Africa.

“Africa’s digital revolution is underway, driven by converging technologies such as AI, IoT, and Big Data. These technologies are catalysts for innovation and economic growth, offering Africa a unique opportunity to bridge the gap with other continents. This is the moment to embrace the change and leapfrog,” said Redda Ben Geloune, president and founder, Aitek. “By partnering with Altair, we aim to create a success story not only for our businesses but also for Africa’s economic development. Together, we can accelerate the adoption of AI-based solutions, enhance business productivity, and transform various sectors for sustainable growth. This could shift the current paradigm and propel Africa, the richest continent in resources, into a powerful economy.”

Altair works with a global network of channel and technology partners. To learn more or to become a partner, visit https://altair.com/altair-partners.

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Teragonia, a leading provider of analytics engineering and artificial intelligence (AI) solutions exclusively designed for private equity (PE) portfolio value creation, announces it has joined the Google Cloud Partner Advantage program at the partner level for the Service Engagement Model. The partnership enhances Teragonia’s PE clients’ ability to rapidly scale and drive margin expansion for their portfolio companies.

Google Cloud’s generative AI and AI-optimized capabilities enable Teragonia’s Decision Intelligence System to expedite and enhance private equity portfolio companies’ value creation journey through best-in-class data analytics, app and infrastructure modernization, workplace collaboration, and security. The combined power of Google Cloud’s agility with Teragonia’s analytics engineering and AI solutions provides key features such as:

• Secure and scalable cloud storage to ingest voluminous, disparate data for bolt-on acquisitions
• Robust cloud infrastructure for cutting edge AI solutions to enable revenue growth and performance improvement

“The Google Cloud Partner Advantage program lays the critical infrastructure foundation to expand our technical capabilities and rapidly scale with our clients’ businesses, best preparing them for the AI-era,” said Thomas Thayyil Thomas, chief executive officer and co-founder of Teragonia. “Through our partnership with Google Cloud, we equip our private equity clients and their portfolio companies with a fit-for-purpose Analytics Foundation and bespoke AI solutions, giving them a distinctive competitive advantage.”

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Elastic (NYSE: ESTC), the Search AI Company, today released its third annual sustainability report, highlighting its progress in 2023 and commitment to embedding environmental, social, and governance (ESG) principles across its business to create long-term sustainable value. Initiatives include reducing its environmental impact through workplace efficiency measures and implementing a supplier engagement strategy to collaborate with vendors on carbon reduction opportunities.

“We strive to use our expertise in search, AI and data analytics to help us and our customers drive impactful change in the world,” said Ash Kulkarni, CEO, Elastic. “When customers choose to work with Elastic, they can be confident that they’re partnering with a company that offers innovative technology solutions and does so with meticulous care and purpose. As such, we’ve increased focus on engaging more meaningfully with customers and suppliers on shared sustainability goals and aspirations.”

Report highlights include:

• Environmental: As part of ongoing data improvement, we onboarded a new corporate sustainability data management tool to improve data accuracy and analysis. The platform will help advance our carbon management plan and ensure we are ready for future reporting requirements. We are distributed by design, and our purposeful office site selections prioritize space and energy efficiency, as demonstrated by our recent office openings and relocations into buildings with globally recognized sustainability accreditations.
• Social: Elastic formally launched our “Beehive” model. This comprehensive framework provides a consistent approach to talent management, with mindsets and ideals that we encourage Elasticians to take on to achieve success. In addition, we exceeded $1 million in total charitable donations, a result of both corporate contributions and global employee giving, while collectively contributing over 6,500 employee volunteer hours.
• Governance: We relaunched Elastic’s Trust site as the new Elastic Trust Center. This centralized hub for information on security, compliance, privacy, and resiliency ensures our key stakeholders can find vital information easily. We also made significant strides in formalizing and expanding the governance of sustainability at Elastic through refined oversight structures and practices.

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Table of content
Introduction
1. Yellowfin
2. Sisense
3. QlikView
4. Kyligence
5. Tableau
Winding Up

Introduction

In this digital age, data is the new oil, especially with the emergence of augmented analytics as a game-changing tool that has the potential to transform how businesses harness this vast technological resource for strategic advantages. Earlier, the whole data analysis process was tedious and manual, as each project would have taken weeks or months to get executed. At the same time, other teams had to eagerly wait to get the correct information and further make decisions and actions that would benefit the business’s future. 

Therefore, to pace up the business process, the data science team required a better solution to make faster decisions with deeper insights. That’s where an organization needs to depend on tools such as augmented analytics. Augmented analytics combines artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to enhance the data analytics processes, making them more accessible, faster, and less prone to human error. Furthermore, augmented analytics automates data preparation, insight generation, and visualization, enabling users to gain valuable insights from data without extensive technical expertise. 

In today’s exclusive AITech Park article, we will take a quick look at the top five augmented analytics tools that data scientist teams can depend on to democratize advanced-level analytics with augmented data ingestion, data preparation, analytics content, and DSML model development. 

1. Yellowfin

Yellowfin specializes in dashboards and data visualization that have inbuilt ML algorithms that provide automated answers in the form of an easy guide for all the best practices in visualizations and narratives. It has a broad spectrum of data sources, including cloud and on-premises databases such as spreadsheets, which enables easy data integration for analysis. The platform comes pre-built with a variety of dashboards for data scientists that can embed interactive content into third-party platforms, such as a web page or company website, allowing users of all expertise levels to streamline their business processes and report creation and sharing. However, when compared to other augmented analytics tools, Yellowfin had issues updating the data in their dashboard on every single update, which poses a challenge for SMEs and SMBs while managing costs and eventually impacts overall business performance. 

2. Sisense

Sisense is one of the most user-friendly augmented analytics tools available for businesses that are dealing with complex data in any size or format. The software allows data scientists to integrate data and discover insights through a single interface without scripting or coding, allowing them to prepare and model data. Eventually allows chief data officers (CDOs) to make an AI-driven analytics decision-making process. However, the software is extremely difficult to use, with complicated data models and an average support response time. In terms of pricing, Sisense functions on a subscription pricing model and offers a one-month trial period for interested buyers; however, the exact pricing details are not disclosed. 

3. QlikView

QlikView is well-known for its data visualization, analytics, and BI solution that aids IT organizations in making data-based strategic decisions with the help of sophisticated analytics and insights drawn from multiple data sources. The platform allows data scientists to develop, extend, and embed visual analytics in existing applications and portals while adhering to governance and security frameworks. However, some users have reported that the software may slow down when assembling large datasets. Additionally, the software sometimes lacks the desired feature and depends mostly on plugins from the older QlikView, which lacks compatibility with the updated Qlik Sense. The QlikView comes in three pricing plans: Standard Plan: $20/mo for 10 full users only, with up to 50GB/year data for analysis, Premium Plan: starts at $2,700/mo and 50GB/yr data for analysis and more advanced features and  Enterprise Plan: Custom pricing, starting at 500GB/yr data for analysis.

4. Kyligence

The fourth augmented analytics tool that data scientist teams use is Kyligence, as it stands out for its automated insights and NLP technology for businesses to generate deep insights within seconds. The technology also promises a centralized, low-code platform that emphasizes a metrics-driven approach to business decision-making and further identifies the ups and downs of the given metrics, along with discovering root causes and generating reports within seconds. However, the tools are considered to be quite complex and expensive when compared to other augmented analytics tools on the market. Kyligence comes in three pricing plans. Standard plan: $59/user/month, Premium plan: $49/user/month (minimum 5 users), and Enterprise+ plan: Flexible pricing and deployment options.

5. Tableau

Last but not least, we have the famous Tableau, an integrated BI and analytics solution that will help in acquiring, producing, and analyzing the company’s data and provide insightful information. Data scientists can use Tableau to collect information from a variety of sources, such as spreadsheets, SQL databases, Salesforce, and cloud applications. Talking about the interface, it is quite easy regardless of your technical skills, allowing you to explore and visualize data effortlessly, but professionals at an executive level might have issues adapting to this technology. However, the most concerning part of this software is its high pricing and lack of customization in terms of visualization options. In terms of pricing, Tableau comes with two exclusive plans: for an individual user, it is $75/month, and for two users, it is $150/month.

Winding Up

With the importance of data, data analytics, and augmented analytics tools, data scientists are paving the way for effortless and informed decision-making. The five tools listed above are designed to automate the complex data analysis process.

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CARLSBAD, California-based Integrated Specialty Coverages (“ISC”), a leading, multi-line program administrator that builds end-to-end insurance products utilizing advanced artificial intelligence (AI) engineering, data analytics, and predictive modeling, announced the hiring of Dimitri Robert as the firm’s chief technology officer. Robert will head the engineering department, developing overall tech strategies that align with ISC’s growth and financial goals, focusing on product development and delivery, and improving the broker experience through technology.

Robert’s impressive career as CTO includes working at Experian for the last six years, where he headed the development and operation of the North American Credit Decisioning and later the ID & Fraud product lines, which included overseeing their technology roadmap, architecture, software development, production deployment and management, and platform operations. Prior to this, Robert held several positions, including CTO, during his 11-year tenure at Conduent (formerly Xerox, StrataCare). He was the Workers Comp division technology leader responsible for the SaaS platforms’ roadmap, architecture, development, delivery, and operations. His earlier career included vital technology roles at Websense (now Forcepoint), two technology startups (Burstband and CD World), and ELCA Informatique, a leading Swiss technology consulting firm.

“We are thrilled that Dimitri will join our team,” said ISC CEO and Founder Matt Grossberg. “The depth and breadth of his tech experience and expertise, including in data science, analytics, and machine learning, will play a key role in accelerating our plans to continue building tech-based, profitable insurance programs and product lines expeditiously while elevating the customer experience. His strong leadership skills will also be invaluable in helping us advance our technology strategy as we continue to reshape the MGA and wholesale landscape and build and grow our business.”

Robert shares Grossberg’s enthusiasm for joining ISC: “. I look forward to leading the technology team and contributing to the evolution of ISC’s exceptional software platform and data analytics capabilities. I aim to further develop and accelerate the implementation of the technology strategy, helping drive business growth for ISC and its partners. The company is a true standout in the industry.”

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Altair (Nasdaq: ALTR), a global leader in computational intelligence, announced that Altair One®, Altair’s cloud innovation gateway, is now available on Google Cloud Marketplace, opening up a world of possibilities for users seeking seamless access to powerful simulation, data analytics, and high-performance computing (HPC) capabilities.

Altair One is designed for collaborative engineering, data engineering, and analytical application development. Built on a robust HPC backbone, Altair One provides seamless, unified access to tools, data, and computing resources while unleashing the power of artificial intelligence (AI) across every step of the product development life cycle.

Google Cloud Marketplace customers can now leverage Bring Your Own Cloud (BYOC) functionality to run Altair simulation, AI, and data analytics applications. 

“The integration of Altair One with the Google Cloud Marketplace empowers Google Cloud users to effortlessly unlock a world of innovative solutions. This collaboration will fuel engineering breakthroughs with the power of Google Cloud’s adaptable, flexible, and scalable cloud infrastructure,” said Sam Mahalingam, chief technology officer, Altair. “This integration aligns perfectly with our core mission of equipping businesses for digital success and making powerful software solutions readily accessible to users.”

“Bringing Altair One to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the platform on Google Cloud’s trusted, global infrastructure,” said Dai Vu, managing director, Marketplace and ISV GTM Programs, Google Cloud. “Altair can continue to securely scale and support customers on their digital transformation journeys.”

Altair One is the gateway that empowers organizations to mature into digital enterprises by breaking down data silos, connecting virtual models, optimizing their compute infrastructure, and digitizing key processes. It provides all the tools to create a “One Total Twin” of a product throughout its lifecycle, “One Traceable Thread” connecting all data stages, and a “Single Source of Truth” for all models and data. This all-in-one platform automates data capture, empowers better decision-making, enhances performance management, and ultimately accelerates engineering processes for a seamless digital experience.

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Karl brings over 20 years of insurance product, technology, and transformation experience to his new role, and has worked extensively on scaling data, analytics, and operations strategies for the world’s largest financial services organizations.

Karl joins Capco from data analytics and digital operations & solutions company EXL, where he was Vice-President for Insurance Data & AI. Prior to that role, Karl spent five years within EY’s Insurance Advisory Services business, leading teams focused on operational transformation and strategy. Prior to EY, he worked on process, organizational design and process initiatives during his five years with PwC’s Financial Services Advisory division.

Matthew Hutchins, Partner and Global Head of Insurance at Capco said: “I am very pleased to welcome Karl as a new member of the US Partner team. Karl has a deep knowledge of the US insurance market and the regulatory dynamics now impacting insurers. His proven track record in leading innovation and strategic change initiatives for the largest life, group, voluntary benefits, and annuity carriers will be key as we drive industry innovation and help solve our clients’ most complex challenges.”

David Radvany, Partner & US Insurance Lead at Capco, said: “Karl’s expertise and experience in the areas of transformation design and deployment, process change, innovation strategy, and product portfolio enablement will be invaluable as we help our insurance clients realize their ambitions for long-term success. I am very pleased to welcome him to the team.”

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The EY and Databricks Insurance Insights Platform (IIP) for Guidewire integration enables insurers to securely harness the power of Guidewire Cloud Platform (GWCP) data through the creation of a replicated data-model in the Databricks Data Intelligence Platform. The accelerator connects insurers to EY’s solution called Guidewire Replicated Database, which leverages Guidewire Cloud Data Access (CDA) and enables self-serve access to the data in near-real time, providing flexibility and expanded opportunities for analytical and reporting use cases. Insurers can enrich GWCP data with other internal and external data sources, enabling profound insights in their Databricks environment.

The integration gives insurers access to normalized data sets they can leverage for operational and regulatory reporting. It also shapes GWCP data to fit into the standard insurance data model for analysis and use in dashboards. Customers can configure data pipelines and share data across their organizations to enable artificial intelligence (AI) use cases in their Databricks Data Intelligence Platform.

Users can also use IIP itself for its robust reporting and analytics abilities, as it incorporates Databricks’ generative AI features to interpret and analyze data, helping insurers make nuanced, data-driven decisions. IIP offers a web-based portal to configure pipelines and data sets, along with numerous pre-built dashboards, reports, and analytical use cases.

“Our combined efforts with Guidewire and Databricks empower us to seamlessly incorporate cutting-edge technologies and data-driven strategies into Guidewire’s cloud platform,” said Alok Bhargava, Principal, Insurance AI & Data Leader, EY. “Through this partnership, we develop innovative and robust solutions tailored to address our clients’ varied needs, effectively navigating the ever-changing insurance landscape.”

“Databricks’ inclusion in the Guidewire Marketplace is a game-changer for the insurance industry. Our solution provides more flexibility and a better opportunity to utilize the data for building analytical use cases. Customers can continue to run their existing reports and downstream extracts without any change to the underlying data structure. This solution is expected to bring down the overall effort and cost, driven by efficiency gains from data extraction, data integration and data reconciliation,” said Marcela Granados, Global Head of Insurance, Databricks.

“Congratulations to EY and Databricks on the release of their new Guidewire Cloud accelerator,” said Will Murphy, Vice President, Global Technology Alliances, Guidewire. “This integration streamlines data consumption to help our shared customers easily access GWCP data for expanded data application and extract additional insights by blending GWCP data with other data sources.”

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The partnership builds on Milliken’s commitment to developing sustainable products by leveraging Makersite’s AI-enabled life cycle analysis (LCA) to inform product design and sourcing across the textile and chemical businesses.

Like many organizations, Milliken seeks to balance escalating regulatory demands with customer expectations for detailed environmental information at the product level. Makersite’s comprehensive tools will help the company expand its capacity to make data-driven product decisions that support the sustainability initiatives.

“Partnering with Makersite is another example of how we’re striving to positively impact the world around us for generations to come,” said Kasel Knight, chief legal officer and head of sustainability at Milliken. “We will now have near real-time sustainability data to inform our product design and enable faster sourcing decisions for our customers.”

The collaboration with Makersite underscores Milliken’s dedication to provide smart solutions towards a circular economy and enables the incorporation of LCA principles into the new product development process. 

“Milliken and Makersite have a shared vision for innovating sustainable product design and sourcing that supports business and sustainability goals,” said Neil D’Souza, CEO and founder of Makersite. “By consolidating Milliken’s internal product data with external supply chain databases that detail the cradle-to-grave carbon footprint of each component into Makersite’s unified platform, Milliken will be able to expedite decision-making processes for their product portfolio.”

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Alpha FMC, the leading global consultancy to the top asset and wealth management, insurance, and private markets firms, today announced the launch of its AI & Data Science Innovation Hub. The Hub is a consortium of investment managers and AI experts from across the globe collaborating and offering industry-specific expertise to navigate artificial intelligence (AI) and data science opportunities across the industry.

“There is a lot of noise and hyperbole around AI and data science in the financial services market,” said Sam Iles, Alpha’s Senior Partner and Head of Ventures & Innovation. “With the Hub, we can provide clarity and a structured evaluation process focused on delivering tangible, realistic AI-driven outcomes to our clients, and offer members the opportunity to access industry-specialist AI talent and collaborate with peers in an efficient, cost-effective manner.”

The AI market is forecasted to experience an annual growth rate of 37.3% through 2030. More businesses are exploring strategies to apply the benefits of AI and data science to boost their bottom line. However, navigating AI and data science can be intimidating and extremely time-consuming, having to cut through the noise, evaluate a plethora of vendor options, and work out how to apply AI to industry-specific use cases in ways that add value. Through Alpha’s new Hub, clients can join the consortium and have access to AI experts, industry insights, blueprints and best practice to help them achieve tangible results and outputs targeted to industry-specific use cases.

“We created The Hub after hearing from clients that they wanted to leverage AI and data science in a way that works for them,” said Dr. Till Blesik, the data scientist leading The Hub. “There are a plethora of AI solutions and options, the Hub allows us to highlight the different strengths for our clients and offer insights for a path forward rooted in rigorous and consistent evaluation, and the collective knowledge of the consortium.”

Alpha’s Hub monitors and researches the latest innovations in the industry and changes in leading technology platforms and applications, helping clients leverage the most appropriate technology architecture across their landscape. The Hub offers:

• Definitions of structured AI architectures
• Training and playbooks to enable the workforce
• Tailored benchmarks and actionable insights
• Organizational structures that fit architecture and strategy

Additionally, all the AI resources developed in the Hub use industry-leading tools and applications, such as Snowflake & Azure, and through industry partnerships with tailored solutions such as BlueFlame AI, to streamline portability into client architectures when building solutions and ensure members stay at the cutting edge of innovation with vendor solutions. The Hub is being launched with a number of global investment managers as founding members and will be available to additional members and strategic partners within the next month.

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