Autore: martechcubejohn

TierPoint, a leading provider of secure, connected IT platform solutions that power digital transformation initiatives, announced today that it has achieved Amazon Web Services (AWS) Advanced Tier Partner status within the AWS Partner Network (APN). AWS Advanced Tier Services Partners are organizations recognized for proven technical expertise and demonstrated customer experience.

With over 100 AWS certifications, inclusive of AWS Technical Certified Professional and Specialty accreditations, TierPoint focuses on helping clients effectively migrate to AWS and scale AWS adoption across their organizations, designing, building and managing AWS platforms that deliver secure and dependable cloud operations.

To attain AWS Advanced Tier Partner status, TierPoint met several AWS technical requirements, including AWS certifications, capabilities, and implementations, as well as AWS technical and business professional training accreditations.

Read Full News @ https://ai-techpark.com/tierpoint-achieves-aws-advanced-tier-status-within-aws-partner-network/

Related Article - Addressing Algorithmic Biases with AIOps

Ampere and Oracle Cloud Infrastructure (OCI) announced today the launch of second-generation Ampere-based compute instances, OCI Ampere A2 Compute, based on the AmpereOne® family of processors. The new offering builds upon the success of OCI Ampere A1 Compute instances, which have been adopted by OCI customers and deployed across over 100 OCI services, including Oracle Database services like HeatWave, MySQL, as well as Oracle Cloud Applications.

OCI Ampere A2 Compute instances provide higher core count virtual machines and high-density containers within a single server, delivering more performance, scalability, and cost-efficiency for cloud native workloads. In addition, the OCI Ampere A2 Compute series further extends OCI’s lead in both Arm-based cloud computing and price-for-performance.

“OCI and Ampere began our collaboration with the ground-breaking A1 shapes. We’ve demonstrated the versatility of these shapes on a wide range of workloads from general purpose applications and OCI services to the most recently announced and highly demanding use case: Llama3 generative AI services,” said Jeff Wittich, Chief Product Officer at Ampere. “Building on this momentum, the new OCI Ampere A2 Compute shapes using our AmpereOne® processors are set to create a new baseline in price-performance for the cloud industry across an ever-expanding variety of cloud native workloads and instance types.”

Read Full News @ https://ai-techpark.com/next-gen-ampere-instances-available-on-oracle-cloud-infrastructure/ 

Related Article - AI in Medical Imaging: Transforming Healthcare

Fortinet® (NASDAQ: FTNT), the global cybersecurity leader driving the convergence of networking and security, today announced that it has completed the acquisition of Lacework, a cloud security and cloud-native application protection platform (CNAPP) trailblazer, effective August 1, 2024.

“The addition of Lacework aligns with Fortinet’s commitment to protect our customers with innovative solutions that provide consistent security across on-premises and cloud environments,” said Ken Xie, Founder, Chairman of the Board, and CEO at Fortinet. “Integrating Lacework’s organically developed cloud-native platform with the Fortinet Security Fabric will result in the most comprehensive, full-stack AI-driven cloud security platform available from a single vendor.”

Like Fortinet, Lacework is an innovation-first company that has invested significantly to build, from the ground up, an integrated cloud security solution that adds meaningful value to customers. Lacework has been recognized for its leading technology by industry analysts and was recently named a representative vendor in the 2024 Gartner Market Guide for Cloud-Native Application Protection Platforms.1 In addition to advanced technology, Fortinet has gained a portfolio of 225 patents and applications, many related to cloud security and artificial intelligence, which reflects the innovation focus and will bring Fortinet’s global patent and application count to over 1,800, estimated to be more than the nearest three pure-play security vendors combined. This acquisition also brings an experienced sales team and a talented group of engineers whose expertise will be instrumental in delivering industry-leading solutions to Fortinet’s customers.

Read Full News @ https://ai-techpark.com/fortinet-completes-acquisition-of-lacework/

Related Article - Data Management with Data Fabric Architecture

Unanet, the leading provider of project-based enterprise resource planning (ERP) and customer relationship management (CRM) for the government contracting (GovCon) industry, today announced Vidoori is a new Unanet ERP GovCon customer. Unanet will replace Vidoori’s off-the-shelf software as the company prepares for significant growth.

Vidoori, based in Hyattsville, Maryland, provides software testing, development, security assessment, and operations support (DevSecOps) for commercial clients and Federal agencies such as the United States Census Bureau. As the company prepares for exponential growth in the future, it recognized that its off-the-shelf, disparate software, which required multiple manual processes, could not provide the modern, integrated, efficient solutions they need.

Vidoori conducted a thorough assessment of software systems. What ultimately sold the team was the feedback from several industry peers in similar stages of growth who had onboarded other legacy software and ended up switching to Unanet as a better solution to grow their business.

Read Full News @ https://ai-techpark.com/vidoori-upgrades-to-unanet-erp-govcon-to-prepare-for-growth/

Related Article - Generative AI Applications and Services

Data veracity and quality are equally essential in the current world that is characterized by unbounded data generation and utilization. Analyzing the information being used in the operations of companies today, it is apparent that businesses have developed a high dependence on data, hence the need to make it accurate and reliable. Two ideas central to this effort are data governance and lineage. Data availability, usability, integrity, and security of data within an organization can collectively be referred to as data governance. Contrarily, lineage tracking refers to one’s ability to follow the life cycle of the data, starting from its source to the current status. Altogether, these practices are needed for a small business as well as for large and middle-scale enterprises, as they offer the base for managing the information and meeting the requirements.

Understanding Data Governance

What is data governance?

Data governance refers to the culture, norms, rules, and guidelines that govern the organization’s data resources. These are ownership of data, quality assurance, and governance, where components include obtaining commitments on ownership of data/information, defining data quality requirements, and ensuring the agreed data access and security provisions are in place. Because of this, data governance’s crucial function is in covering the regulatory requirements and sources of risk that need to be addressed so that better decisions can be made.

Benefits of Data Governance

Ensuring Data Quality and Accuracy: Enumerating best practices as well as standardizing procedures promotes the credibility, integrities, and sanity of the data.

Enhancing Decision-Making and Operational Efficiency: Optimization of workflow solutions improves with high-quality data, leading to overall effectiveness of operations.

Protecting Sensitive Information and Maintaining Privacy: Data governance is aimed at data security so that the organization complies with the data privacy laws and reduces the risks of data leakage.

Data governance and data lineage are crucial methods that add value to an organization through data accountability. This means that through the formulation of appropriate data governance frameworks, as well as timely and accurate lineage solutions, business value can be realized from data assets.

Evaluate your current data management state and think about implementing the data governance and data lineage management concepts for your organization’s profitable improvement.

Availing more details to more people in the future, the trends in data governance and lineage tracking will include AI and ML.

Thus, by optimizing such practices, it will be possible to manage the effectiveness of organizational data and use it as a lever for the company’s success.

To Know More, Read Full Article @ https://ai-techpark.com/optimizing-data-governance-and-lineage/

Related Articles -

Future of QA Engineering

Top 5 Data Science Certifications

Trending Category - Patient Engagement/Monitoring

In recent years, self-service analytics has been the best approach in the field of business intelligence (BI) that aids analytics users in accessing, analyzing, and sharing their data to create actionable insights without the expertise or extra skill set on data analytics.  Therefore, with the increased reliance on data and analytics, analytic users can swiftly move away from conventional IT-centric reporting to much more decentralized self-service tools that will aid in improving business outcomes and making informed decisions for future business opportunities.

In today’s AITechPark article, we will learn more about a few self-service data analytics software and tools that will aid in your daily business processes.

Alteryx Platform

The first self-service data analytics software on our list is Alteryx, which specializes in data preparation and blending. The tools allow analytics users to organize, clean, and analyze data in a repeatable workflow. At the same time, it connects and cleanses the data from data warehouses, cloud applications, spreadsheets, and other sources. However, the issue is that it can be utilized only to connect, research, organize, and model the given data, but not visualize it. To subscribe to this Alteryx Platform, users need to spend $4,950 per year.

Cognos Analytics

With the introduction of Cognos Analytics, IBM presents extensive BI and analytic abilities under two distinct product sequences. This analytical platform allows analytics users to access data and create dashboards and reports. As Cognos Analytics collaborates with IBM Watson Analytics, it enables ML-enabled UX that includes automated pattern detection and supports NLP queries and generation. IBM’s BI software can be deployed both on-premises or as a hosted resolution via the IBM Cloud.

As we have stepped into the world of digitization, there is an increasing reliance on data and analytics. Therefore, with the above self-service analytics tools, users can easily empower their businesses and make better and faster decision-making without errors.

To Know More, Read Full Article @ https://ai-techpark.com/self-service-analytics-tools/

Related Articles -

Cloud Computing Chronicles

Transforming Business Intelligence Through AI

Trending Category - IOT Smart Cloud

Hello Hussein, can you share with us your professional journey and how you became involved in the field of AI and technology, leading to your role as co-founder of Momentable?

I’ve always been fascinated with technology and sci-fi. AI is one of those things that sticks in your mind, and you can’t help but think about it.

I studied engineering and worked in tech, and even with all the advancements in technology we have been witnessing in the past two decades, AI was one of those things that we always thought would remain a sci-fi pipe dream for a long time.

This is not because there was nothing happening. But those who work in tech know it takes a while for the evolution of these technologies, and advancements are usually several degrees of separation from the regular user.

I’m always learning, reading, and building tech products, so AI was a field of study; however, implementing it was never accessible for early-stage products.

The status of AI has forever changed. OpenAI’s ChatGPT launch has had a remarkable impact on the field of AI and tech in general. AI is now available for regular users. People like me working in tech can now use AI in everything they are doing, which will accelerate product development and will impact the kind of products we can build and deliver to customers.

In addressing concerns surrounding AI ethics, you mentioned the importance of regulatory measures, technological transparency, and societal readiness. Could you elaborate on how Momentable approaches these areas to mitigate potential ethical dilemmas?

With great power comes great responsibility. AI is a powerful technology, and it’s very easy for those wielding it to amplify the impact of the good and the bad in the work they do.

While we, in the tech space, are doing our very best to build great products that deliver great value, we are not social scientists, psychologists, or public servants. So, we can’t be expected to regulate and supervise ourselves, nor can we evaluate the impact of these technologies and the products using them on the individual and on society.

It’s great when companies have values, codes of ethics, missions, and visions; however, those are not enough. Just like we do not rely on drivers to drive safely, we have traffic laws, signs, lights, and we make sure people driving a car are licensed and trained. We need to do the same with technologies, which, I would argue, have a massive impact on shaping our future as a species more than anything we’ve ever had in our history.

At Momentable, we are acutely aware of the impact of generative AI on our stakeholders, artists, cultural organizations, and art lovers. We engaged our stakeholders, ran several experiments where generative AI created artworks with input from artists, with their permission and consent.

In addition to using AI to enhance customer experience on our platform, we are using the learnings to evolve our product and introduce Generative AI in a thoughtful way that adds value and advances the art and culture space.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-hussein-hallak/ 

Related Articles -

AI-Powered Wearables in Healthcare sector

Rise of Deepfake Technology

Trending Category - Patient Engagement/Monitoring

Business in a dynamic environment no longer considers data a luxury; it’s the fuel that makes wise decisions and drives business success. Imagine real-time insights at your fingertips regarding your customers or the ability to identify operational inefficiencies buried in data sets. Be empowered to drive growth by making data-driven decisions that enable you to optimize marketing campaigns and personalize customer experiences.

However, unlocking this potential is where many of the SMBs struggle. Traditional data analytics solutions often come with fat price tags, thereby positioning themselves beyond companies with limited resources. But fear not! That doesn’t mean it has to be a barrier to entry into the exciting world of data-driven decision-making.

What are data democratization and self-service analytics?

Data democratization means extending access to organizational data to all employees, regardless of their technical nature. It essentially rests on the very foundation that the availability of data should be such that everybody in the entity can get access to information for making decisions and creating a culture that is transparent and collaborative in nature.

Self-service analytics involves tools and platforms that allow users to perform analysis on their own, outside the IT department. They are designed to be user-friendly enough for people in other functions within a company to generate reports, visualize trends, and extract insights on their own from any data they may want.

For small and medium-sized businesses, the benefits that come from data democratization and self-service analytics are huge:

Empower Employees to Make Data-Driven Decisions:

Arm workers at all levels with the ability to make more informed decisions that will have improved outcomes and innovative implications by providing them with relevant data and the proper tools with which to analyze it.

Improve Operational Efficiency:

Much of this IT bottleneck is removed through self-service analytics, improving operational efficiency and increasing decision-making at high speeds.

Gain Insights from Customer Data:

With data democratization, SMBs can get a closer look at customer behavior and preferences to ensure better customer experiences and focused marketing.

Basically, data democratization and self-service analytics democratize the power vested in data to drive efficiency, innovation, and growth within SMBs.

To Know More, Read Full Article @ https://ai-techpark.com/data-democratization-and-self-service-analytics/ 

Related Articles -

Data Management with Data Fabric Architecture

Smart Cities With Digital Twins

Trending Category - AI Identity and access management

Orion Innovation (“Orion”), a leading digital transformation and product development services firm, appoints Cyrus Lam as its new Chief Financial Officer (CFO). Cyrus will spearhead Orion’s global financial organization and play a key role in shaping its fiscal strategies to drive sustained growth and expansion.

Cyrus brings over three decades of financial leadership experience to Orion, with a strong background in the technology and professional services sectors. Most recently, he served as the CFO of CDI LLC, a hybrid IT solutions provider. During his tenure at CDI, Cyrus played a crucial role in tripling the company’s revenues and achieving a 400% growth in profits over four years. His duration at CDI culminated in the company’s successful sale to AHEAD, resulting in an organization with more than $3.7 billion in gross revenue and over 2,500 employees across 40 locations.

Read Full News @ https://ai-techpark.com/orion-innovation-appoints-cyrus-lam-as-chief-financial-officer/

Related Article - Smart Cities With Digital Twins

Sophos, a global leader of innovative security solutions for defeating cyberattacks, today announced that Teresa Anania has joined the company as Chief Customer Officer (CCO). Anania will play a key role in accelerating Sophos’ customer and partner success initiatives to maximize value of Sophos’ portfolio of cybersecurity solutions and services, including Managed Detection and Response (MDR) services and endpoint, network, email, and cloud security.

Anania has more than 25 years of experience in leading customer satisfaction and sales growth across public and private sectors, excelling in both direct and indirect sales channels. Joining Sophos from Zendesk, Anania was responsible for the management and development of its global client base of more than 110,000 customers from small- and medium-sized businesses (SMB) to enterprises. During her time at Zendesk, Anania led all post-sales functions, including Professional Services, Customer Support, Customer Service, Customer Success, and Renewals, to deliver top line growth and measurable impact for customers. Anania has extensive experience specializing in scaling post-sales customer engagement for enterprise, commercial, and volume segments, delivering significant Return on Investment (ROI) and driving revenue.

Read Full News @ https://ai-techpark.com/teresa-anania-joins-sophos-as-chief-customer-officer/

Related Article - Data Management with Data Fabric Architecture