Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Scaling AI? First—get your data storage right

I’ve always rooted for the underdog. Maybe it’s the satisfaction of winning against all odds. Or it’s just mad respect for the struggle, passion, and tenacity that underdogs often exhibit in the face of significant obstacles. Like the real-life story of Billy Beane in the movie Moneyball. As the general manager of the Oakland Athletics, Beane used data and analytics to find undervalued baseball players on a shoestring budget. In 2002, his data-driven baseball team achieved a 20-game winning streak and the American League West title, competing against franchises spending over twice as much recruiting players. 

Beane was ahead of his time, leveraging data to improve outcomes twenty-plus years before the concept was commonplace. Today, data-driven insights are universally embraced as the way to find smarter, more efficient approaches, and it works across industries and company sizes. Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights.

In my role at Dell Technologies, I strive to help organizations advance the use of data, especially unstructured data, by democratizing the at-scale deployment of artificial intelligence (AI). The right technology infrastructure makes that possible. And it’s the silent but powerful enabler—storage—that’s now taking the starring role. Storage is the key to enabling and democratizing AI, regardless of business size, location, or industry.

Grappling with Data Access

As I talk with customers and organizations around the world, one trend is clear: issues with data access and data storage are escalating, creating business obstacles, and stalling progress. That’s because data is rapidly growing in volume and complexity, making data storage and accessibility both vital and expensive. Data accessibility is further exacerbated by the eruption and potential of unstructured data. Its sheer volume can overwhelm Fortune 100 organizations, medium-sized organizations, or start-up companies, yet unstructured data holds the key to breakthrough innovations. Thus, organizations need to solve data access and storage challenges.

The value of data and its actionable insights is skyrocketing with artificial intelligence (AI) capabilities because it’s viewed as the pathway to achieving competitive differentiation and accelerating business outcomes. To capture this value, AI implementations are going mainstream as organizations transition from research-based pilot programs to full-scale operational deployments. AI transitions highlight the organizational, “last mile” challenge of data access (where “last mile” means the data is there, but people cannot use it), which in turn stalls AI progress, and mandates that organizations rethink their data storage strategy.

Rethinking Data Storage 

Many organizations have looked to the cloud to handle most of their data storage needs. However, a cloud-first storage approach is unsuitable for growing volumes of data because more data means more data movement. This incurs additional costs from ingress and egress fees and increases data latency, making cloud-first storage approaches ineffective for AI implementations at scale. 

Instead, organizations need newer storage models designed to handle modern workloads in near real-time. Storage platforms must be easy-to-integrate, scalable, and validated for managing unstructured data, combining functionality such as a file system, volume manager, and data protection. The ideal platform must address the major challenges of unstructured data by:

  • Providing accessible, findable data, quickly and accurately
  • Storing massive amounts of data in a cost-effective manner
  • Protecting files and data as they move around and change over time

By successfully meeting these needs, Dell Technologies helped one organization score a “technology touchdown” in Miami, Florida. 

Improving Experience at Hard Rock Stadium

Few environments need to scale unstructured data securely and on-demand like live sporting events. Fluctuations in the size of the fan base, video footage, and other variables introduce unique challenges. Dell ECS and Dell PowerScale are designed and tested to meet these types of on-demand challenges. 

Just ask the Hard Rock Stadium, in Miami, Florida, which uses the highly flexible, secure PowerScale platform to improve fan experiences. It does this for events and crowds of all sizes, such as Miami Dolphin games, Formula 1 Miami Grand Prix, Miami Open Tennis Tournament, international soccer, and even the Super Bowl LIV to meet a wide array of contactless fan needs, improving outcomes for fans, franchises/organizations, and event teams. View the Hard Rock Stadium 2-minute video here.

The right storage can do that and more for organizations that want to leverage unstructured data via AI at scale. The benefits of doing so can be significant while, on the contrary, doing nothing can hold steep, indelible consequences.

Elevating the Role of Storage

I think Billy Beane, who still supports the Oakland Athletics team today, would appreciate this sports-based customer story. It’s built on his premise of getting ahead by using the power of data–unleashed by AI and enabled by a flexible, scalable storage platform. 

Data’s last-mile challenge squanders the investment of capturing and storing data at the most costly and inopportune time. Newer storage models can mitigate this opportunity cost. That’s what I help organizations around the world accomplish. My goal is to help democratize the use of AI and build a stronger future, company by company, and for underdogs and leaders alike. 

__________

Read my related article about data management here.

In a world of unstructured and often untapped data, Dell Technologies storage solutions such as ECS and PowerScale, can help power your AI journey. Learn more here.

Dell Technologies works together with Intel to help organizations modernize infrastructure and leverage the power of data and AI. Modernizing infrastructure starts with creating a more agile and scalable data architecture with the flexibility to support near real-time analytics. Analytic workloads now rely on newer storage models that are more open, integrated, and secure by design to help organizations unlock and use the full and tremendous potential of their data. Learn more here.

Powering business with data means making the data easier to manage, process and analyze as part of a data pipeline, so infrastructure can meet the data wherever it is. Intel helps customers build a modern data pipeline that can collect, extract, and store any type of data for advanced analytics or visualization. 

Learn more here.

IT Leadership
Read More from This Article: Scaling AI? First—get your data storage right
Source: News

Category: NewsJune 23, 2023
Tags: art

Post navigation

PreviousPrevious post:Hate being more productive? Ignore AI agentsNextNext post:What keeps IT leaders up at night?

Related posts

휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
May 9, 2025
Epicor expands AI offerings, launches new green initiative
May 9, 2025
MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
May 9, 2025
오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
May 9, 2025
SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Recent Posts
  • 휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
  • Epicor expands AI offerings, launches new green initiative
  • MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
  • 오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.