Q&A with Sadiqah Musa, Co-Founder at Black In Data

Sadiqah Musa, Co-Founder at Black In Data, is also an experienced Senior Data Analyst at Guardian News and Media with a demonstrated history of working in the energy and publishing sectors. She is skilled in Advanced Excel, SQL, Python, data visualization, project management, and Data Analysis and has a strong professional background with a Master of Science (MSc) from The University of Manchester.

As people become more aware and concerned about their data, the need for a regulating body will emerge, and organizations’ accountability will be mandated.



MEDIA 7: Could you please tell us a little bit about yourself? What inspired you to pursue a career in Data Analytics?
SADIQAH MUSA:
My name is Sadiqah Musa, I am a Co-Founder of Black in Data, a movement I started to push for inclusivity and diversity in the Data Analytics Industry. My current role is as a Senior Analyst at Guardian. Data Analytics found me as  I originally started my career as a geophysicist, focusing on the exploration of the oil and gas industry and analyzing seismic data. When people ask me, what inspired me to pursue a career change to Data Analytics, I always give an honest and real answer. I didn’t have a sort of epiphany moment where I realized Data Analytics was the new future and therefore I needed to be part of that game, instead, it was simple. At the time when I was considering other career options, there was a huge bust in the oil and gas industry, this is fairly standard and part of the ‘Boom Year, Bust Year’ cycle, however, I wanted a career to give me more stability. Therefore, Data Analytics was this new stable career field, which also allowed me to bring my technical skills of analyzing seismic data for 8 years and general comfort with the skillset I had already had.


M7: What impact do you think analytics & big data will have in the next 5 years?
SM:
I think two major things will happen in the next 5 years: There will be a push in Machine Learning Algorithms and discussions around the Ethics of AI. In terms of Machine Learning Algorithms, this is something that is already happening, but not on a scalable platform/level. The platforms we currently use to create machine learning algorithms are open-source and free, but you will need additional expensive software to turn all of your algorithms into a real, tangible product. At the moment, I'm noticing a shift in this situation, with the software becoming more accessible. As a result, I believe there will be a greater shift in machine learning and natural language processing in the future, where the algorithms will recognize speech and perform functions independently. Discussions on the Ethics of AI are also being held, but as the AI industry continues to grow so will our concern about its morality. A particular area is the biases within the algorithms that people have created, this is an industry that is not being regulated. When we look at things like facial recognition data, we can see that millions of images of our data are being stored without our knowledge. As people become more aware and concerned about their data, the need for a regulating body will emerge, and organizations’ accountability will be mandated.


Some companies and sponsors appear as incredibly supportive and in alignment with our organization however, they fail to provide the financial support needed as well as offer their resources to push our organization further.



M7: What have been your two biggest challenges as a co-founder at Black in Data, and how did you tackle them?
SM:
Our biggest challenge has been a reluctance to follow through with the discussions regarding implementing change and diversify the workplace. Whilst we have inspired a lot of initial interest and support regarding our movement, the difficulty lies within having our sponsors or facilitating companies commit to tangible change and action. However, we have been working to resolve this and openly having these discussions with our proposed sponsors. Also, another challenge we face, as many non-profit organizations must face, relates to our finances. Some companies and sponsors appear as incredibly supportive and in alignment with our organization however, they fail to provide the financial support needed as well as offer their resources to push our organization further.


M7: You have recently partnered with CodeUntapped, Frocentric_tech and Google Digital Garage. Could you please tell us about some of the developments that all of you at Black in Data are excited about?
SM:
At Black, In Data we are most excited about our latest partnership with CodeUntapped. It is a partnership where we get people from BID, put them into a training scheme with CodeUntapped and then put them into Jobs with amazing Organisations. The training scheme lasts for 6 weeks, is completely paid and by the end of the training scheme, the candidates are placed into the physical role that they have been training for. Once contracted for roughly 9 to 12 months, training continues. The usual outcome is securing a permanent role with the company. With Frocentric, this is an exciting person of the color networking data-industry site. It strives to connect all the different tech sectors to one platform where we can all network and support each other. It ranges from Black Founder of Data Science, AI Companies and Data companies and bringing them together to break down the compartmentalized and fractured industry. Finally, Google Digital Garage is an incredible platform that enables us to provide soft skills training ranging from CV writing to Google Digital analytics.


Traditionally people used to consume their news via structured platforms, however social media is allowing you to get the raw content from the people that are being the most impacted.



M7: What do you see as the most noticeable change right now happening in the workforce, encouraged by the rise of social media and digital technologies?
SM: 
The most noticeable change happening in the workforce is down to the impact of social media being used as a tool for awareness and awakening. Traditionally people used to consume their news via structured platforms, however social media is allowing you to get the raw content from the people that are being the most impacted. This has been fantastic for people of color, trying to educate on their lived experiences, share them and finally bringing it to the fore so that organizations have to address it. Topics typically neglected as well as deemed taboo have now been brought to light, forcing companies to evaluate their workplace treatments and biases.


M7: What is your advice to the young women who are starting out their careers in Data Analytics?
SM:
The most important thing to do is ensure that you have all of the necessary technical skills, such as being extremely proficient in Statistics, which is a critical component of Data Analytics. One thing I was never told about that I now realize is the significance of, is being able to do storytelling with Data. Usually, you might just think analyzing your data and presenting your findings is enough but you need to master how to explain your findings very well. It is also easy to second-guess yourself, so you need to be confident in your ability and trust yourself. Ultimately, I’d say be kind to yourself. Growing up, I was exceptionally scared of failure but it is all those mistakes that have shaped me into the analyst that I am today!

ABOUT BLACK IN DATA

Black in Data is a collaborative movement for people of colour, striving to promote equality of opportunity and representation within the data industry. Diversity and equality at work is crucial not only for social justice, but also for the development of a flourishing data and technology industry, able to adapt in a dynamic world. The face of the workforce is changing, and  every industry benefits from the greater breadth of knowledge, skills and personal experience that this greater diversity brings. Black in Data aims to energise and accelerate this pace of change.

More THOUGHT LEADERS

Q&A with Collette Johnson, Product Marketing Specialist at Redgate Software

Media 7 | January 12, 2021

Collette Johnson, Product Marketing Specialist at Redgate Software, serves as the key player in the marketing success of the organization. She is known for always delivering the highest standards of work for the benefit of the businesses she works for. MEDIA 7: Congratulations on being listed as one of the ‘Top 100 Product Marketing Influencers 2020’! What inspired you to get into marketing? COLLETTE JOHNSON: For me, it was all about the customer. Very early on in my career, I realized that enabling organizations to embrace new technology to drive their successes excited me, and this is what inspired me towards a career in marketing. I’m really passionate about understanding how to engage people, learning what messaging and narratives help them in making decisions, and how to enable sales to succeed through the materials we produce. I thoroughly enjoy the learning that you get in marketing and how everything you do is different as you are testing and iterating for the best outcome for customers....

Read More

Q&A with Alastair Speare-Cole, President of Insurance at QOMPLX

Media 7 | August 20, 2021

Alastair Speare-Cole, President and General Manager of the Insurance Division at QOMPLX, leads the overall strategy for the business unit, the development of QOMPLX’s underwriting-as-a-service platform, the management of the company’s Managing General Agent (MGA), as well as setting the direction for the company’s next-generation insurance decision platform that leverages a wide variety of data and advanced analytics to provide advanced risk and portfolio management solutions. Prior to joining QOMPLX, he served as Chief Underwriting Officer at Qatar, and he served as the CEO of JLT Towers from 2012 to 2015. He was also COO at Aon Re for ten years and has also held board appointments at reinsurance and banking subsidiaries in the United Kingdom....

Read More

Q&A with James Lee, Managing Director and Head of Financial Services, Analytics and Cloud Transformation at PwC

Media 7 | August 16, 2021

James Lee, Managing Director and Head of Financial Services, Analytics and Cloud Transformation at PwC, is a well-recognized management consulting leader and senior technology executive specializing in advising global financial services organizations on “cloud-first, data-driven” digital transformation with data and analytics, AI, and intelligent automation. He has over 20 years of strategy consulting and technology operation experience in North America, Asia, and Europe that spanned across various industries including insurance, banking, asset and wealth management, private equity, and telecommunications....

Read More

Q&A with Collette Johnson, Product Marketing Specialist at Redgate Software

Media 7 | January 12, 2021

Collette Johnson, Product Marketing Specialist at Redgate Software, serves as the key player in the marketing success of the organization. She is known for always delivering the highest standards of work for the benefit of the businesses she works for. MEDIA 7: Congratulations on being listed as one of the ‘Top 100 Product Marketing Influencers 2020’! What inspired you to get into marketing? COLLETTE JOHNSON: For me, it was all about the customer. Very early on in my career, I realized that enabling organizations to embrace new technology to drive their successes excited me, and this is what inspired me towards a career in marketing. I’m really passionate about understanding how to engage people, learning what messaging and narratives help them in making decisions, and how to enable sales to succeed through the materials we produce. I thoroughly enjoy the learning that you get in marketing and how everything you do is different as you are testing and iterating for the best outcome for customers....

Read More

Q&A with Alastair Speare-Cole, President of Insurance at QOMPLX

Media 7 | August 20, 2021

Alastair Speare-Cole, President and General Manager of the Insurance Division at QOMPLX, leads the overall strategy for the business unit, the development of QOMPLX’s underwriting-as-a-service platform, the management of the company’s Managing General Agent (MGA), as well as setting the direction for the company’s next-generation insurance decision platform that leverages a wide variety of data and advanced analytics to provide advanced risk and portfolio management solutions. Prior to joining QOMPLX, he served as Chief Underwriting Officer at Qatar, and he served as the CEO of JLT Towers from 2012 to 2015. He was also COO at Aon Re for ten years and has also held board appointments at reinsurance and banking subsidiaries in the United Kingdom....

Read More

Q&A with James Lee, Managing Director and Head of Financial Services, Analytics and Cloud Transformation at PwC

Media 7 | August 16, 2021

James Lee, Managing Director and Head of Financial Services, Analytics and Cloud Transformation at PwC, is a well-recognized management consulting leader and senior technology executive specializing in advising global financial services organizations on “cloud-first, data-driven” digital transformation with data and analytics, AI, and intelligent automation. He has over 20 years of strategy consulting and technology operation experience in North America, Asia, and Europe that spanned across various industries including insurance, banking, asset and wealth management, private equity, and telecommunications....

Read More

Related News

Data Visualization

SensiML Unveils Data Studio - Next-Generation Sensor Data Management for AI / ML

SensiML | December 20, 2023

SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML's collaborative development environment. SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms. A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below: Effortless Data Capture and Import - Capture live sensor data, analyze it instantly, and label any data for seamless insights. Collaboratively Label Sensor Data - Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely. Data Analysis and Model Evaluation - Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise. Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format. "SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries," said Chris Knorowski, CTO of SensiML. SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

Read More

Big Data Management

Radiant Logic Announces RadiantOne AI, with New Generative AI Data Assistant “AIDA”

Radiant Logic | January 11, 2024

Radiant Logic, the Identity Data Fabric company, today unveiled RadiantOne AI, its data lake powered Artificial Intelligence engine, and AIDA, its Generative AI Data Assistant. RadiantOne AI is designed to complement your existing tech stack and governance products by correlating data across multiple sources and providing contextual information to drive better decision making. The result is a radical reduction in the time and resources needed to gather the data required to effectively meet audit demands—meaning fewer security gaps and increased compliance with organizational policies. The first capability to be unveiled on RadiantOne AI is a truly automated user access review (UAR) process, expertly guided by AIDA. Many business leaders are familiar with the tedious UAR process – it’s crucial for demonstrating compliance and improving organizational security posture. But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

Big Data Management

Dremio Partners With Carahsoft to Bring Modern Data Infrastructure to the Public Sector

Dremio | January 05, 2024

Dremio, the easy and open data lakehouse, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider, today announced a partnership. Under the agreement, Carahsoft will serve as Dremio’s Master Government Aggregator®, making the company’s complete cloud and software portfolio for Government, Defense, Intelligence and Education available through Carahsoft’s reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, Information Technology Enterprise Solutions – Software 2 (ITES-SW2), National Association of State Procurement Officials (NASPO) ValuePoint, National Cooperative Purchasing Alliance (NCPA) and OMNIA Partners contracts. This collaboration paves the way for Public Sector organizations to harness cutting-edge data analytics capabilities which empower them to make smarter decisions and significantly enhance operational efficiency through lightning-fast data access. Dremio propels agencies into the future by embracing a state-of-the-art data lakehouse architecture in Public Sector organizations. By transitioning to Dremio's solutions, organizations can enjoy sub-second query performance and a remarkable 10-fold improvement in price performance. The new environment eliminates costly and complex legacy data lake solutions and implements a flexible, highly modern architecture. Dremio provides cost-effective self-service analytics and data management, simplifying data pipelines and ETL complexity while accelerating insights across diverse storage locations. With a proven track record of modernizing legacy Hadoop environments and implementing the modern data lakehouse solution, Dremio and Carahsoft aim to transform Public Sector data management by breaking down data silos. Embracing a data mesh concept enables efficient handling of various data sources, fostering cross- collaboration and decentralized data control. Dremio’s expertise supports Public Sector agencies in implementing these principles, eradicating data silos for a more collaborative and efficient approach to data analytics. "Public sector organizations face a range of data infrastructure challenges, many of which are common to both Government and non-government entities. These issues often hinder effective data management, analysis, and decision-making,” said Roger Frey, Vice President of Alliances at Dremio. “Dremio's mission is to make data easily accessible and analyzable for all users, regardless of where it resides. We are excited to partner with Carahsoft to bring our state-of-the-art data analytics solutions to the Public Sector." “Within the Public Sector’s intricate data landscape, complexities often impede efficient data management and decision making,” said Laura Howton, Sales Director who leads the Analytics and Data Management Team at Carahsoft. “By adding Dremio to our AI and Machine Learning portfolio, our reseller partners can now provide modern, cost-effective and easily accessible data analytics tools to Government customers, bolstering their modernization efforts.” Dremio’s solutions are available through Carahsoft’s SEWP V contracts NNG15SC03B and NNG15SC27B, ITES-SW2 Contract W52P1J-20-D-0042, NASPO ValuePoint Master Agreement #AR2472, NCPA Contract NCPA01-86 and OMNIA Partners Contract #R191902. For more information, contact the Carahsoft team at 571-591-6430 or Dremio@carahsoft.com; or register for a complimentary webcast, “The Key Steps in Decreasing Costs and Improving Performance Through Data Lake Modernization,” Thursday, January 25, at 2p.m. About Dremio Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey.

Read More

Data Visualization

SensiML Unveils Data Studio - Next-Generation Sensor Data Management for AI / ML

SensiML | December 20, 2023

SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML's collaborative development environment. SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms. A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below: Effortless Data Capture and Import - Capture live sensor data, analyze it instantly, and label any data for seamless insights. Collaboratively Label Sensor Data - Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely. Data Analysis and Model Evaluation - Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise. Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format. "SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries," said Chris Knorowski, CTO of SensiML. SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

Read More

Big Data Management

Radiant Logic Announces RadiantOne AI, with New Generative AI Data Assistant “AIDA”

Radiant Logic | January 11, 2024

Radiant Logic, the Identity Data Fabric company, today unveiled RadiantOne AI, its data lake powered Artificial Intelligence engine, and AIDA, its Generative AI Data Assistant. RadiantOne AI is designed to complement your existing tech stack and governance products by correlating data across multiple sources and providing contextual information to drive better decision making. The result is a radical reduction in the time and resources needed to gather the data required to effectively meet audit demands—meaning fewer security gaps and increased compliance with organizational policies. The first capability to be unveiled on RadiantOne AI is a truly automated user access review (UAR) process, expertly guided by AIDA. Many business leaders are familiar with the tedious UAR process – it’s crucial for demonstrating compliance and improving organizational security posture. But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

Big Data Management

Dremio Partners With Carahsoft to Bring Modern Data Infrastructure to the Public Sector

Dremio | January 05, 2024

Dremio, the easy and open data lakehouse, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider, today announced a partnership. Under the agreement, Carahsoft will serve as Dremio’s Master Government Aggregator®, making the company’s complete cloud and software portfolio for Government, Defense, Intelligence and Education available through Carahsoft’s reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, Information Technology Enterprise Solutions – Software 2 (ITES-SW2), National Association of State Procurement Officials (NASPO) ValuePoint, National Cooperative Purchasing Alliance (NCPA) and OMNIA Partners contracts. This collaboration paves the way for Public Sector organizations to harness cutting-edge data analytics capabilities which empower them to make smarter decisions and significantly enhance operational efficiency through lightning-fast data access. Dremio propels agencies into the future by embracing a state-of-the-art data lakehouse architecture in Public Sector organizations. By transitioning to Dremio's solutions, organizations can enjoy sub-second query performance and a remarkable 10-fold improvement in price performance. The new environment eliminates costly and complex legacy data lake solutions and implements a flexible, highly modern architecture. Dremio provides cost-effective self-service analytics and data management, simplifying data pipelines and ETL complexity while accelerating insights across diverse storage locations. With a proven track record of modernizing legacy Hadoop environments and implementing the modern data lakehouse solution, Dremio and Carahsoft aim to transform Public Sector data management by breaking down data silos. Embracing a data mesh concept enables efficient handling of various data sources, fostering cross- collaboration and decentralized data control. Dremio’s expertise supports Public Sector agencies in implementing these principles, eradicating data silos for a more collaborative and efficient approach to data analytics. "Public sector organizations face a range of data infrastructure challenges, many of which are common to both Government and non-government entities. These issues often hinder effective data management, analysis, and decision-making,” said Roger Frey, Vice President of Alliances at Dremio. “Dremio's mission is to make data easily accessible and analyzable for all users, regardless of where it resides. We are excited to partner with Carahsoft to bring our state-of-the-art data analytics solutions to the Public Sector." “Within the Public Sector’s intricate data landscape, complexities often impede efficient data management and decision making,” said Laura Howton, Sales Director who leads the Analytics and Data Management Team at Carahsoft. “By adding Dremio to our AI and Machine Learning portfolio, our reseller partners can now provide modern, cost-effective and easily accessible data analytics tools to Government customers, bolstering their modernization efforts.” Dremio’s solutions are available through Carahsoft’s SEWP V contracts NNG15SC03B and NNG15SC27B, ITES-SW2 Contract W52P1J-20-D-0042, NASPO ValuePoint Master Agreement #AR2472, NCPA Contract NCPA01-86 and OMNIA Partners Contract #R191902. For more information, contact the Carahsoft team at 571-591-6430 or Dremio@carahsoft.com; or register for a complimentary webcast, “The Key Steps in Decreasing Costs and Improving Performance Through Data Lake Modernization,” Thursday, January 25, at 2p.m. About Dremio Dremio is the easy and open data lakehouse, providing self-service analytics with data warehouse functionality and data lake flexibility across all of your data. Use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey.

Read More

Spotlight

Black In Data

Black in Data is a collaborative movement for people of colour, striving to promote equality of opportunity and representation within the data industry. Diversity and equality at work is crucial not only for social justice, but also for the development of a flourishing data and technology industry, ...

Events

Resources