Jan 2, 2019 · 22m · a16z

a16z Podcast | Why Every Business is in the Data Business

Ash Ashatosh · 10m spoken Peter Levine · 6m spoken Michael Copeland · 3m spoken
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In this episode of the a16z Podcast, host Michael Copeland, Actifio CEO Ash Ashatosh, and Andreessen Horowitz General Partner Peter Levine discuss how software data virtualization is revolutionizing enterprise infrastructure. They explore the transition from legacy hardware to cloud architectures, the complexities of enterprise go-to-market strategies, and the realities of building sustainable global technology companies.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

The host as informed peer 3.2 Guest teaching 4.8 Guest disagreement 1.5 The host pushing back 1.5
05100:0010:0020:001:58–5:33 · The host as informed peer 2/10 Data Center Blueprint Shifts and Cloud Infrastructure The host asks open-ended questions about how architecture is shifting from traditional on-premise setups to hypercloud models. Peter Levine and Ash Ashatosh explain the hardware commoditization model and reframe the cloud as a paradigm shift rather than a physical location.5:33–9:25 · The host as informed peer 4/10 Data Virtualization and Storage Value Proposition Host Michael Copeland asks a perceptive question probing where enterprise value remains if raw storage becomes free. Ash Ashatosh educates the host on the long tail of data lifecycle management, agility, and mobility beyond raw storage capacity.9:25–12:13 · The host as informed peer 3/10 Universal Data Needs and Enterprise Sales Pipeline The host inquires about differences in selling to SMBs versus large enterprises. Ash breaks down the four-stage enterprise pipeline, highlighting procurement as the major bottleneck for private startups.12:13–16:38 · The host as informed peer 3/10 Enterprise Innovation Constraints and Incumbent Hurdles Host asks why incumbent tech giants struggle to innovate despite massive cash reserves. Peter Levine explains internal budget allocation battles and operating cash constraints that force incumbents to acquire rather than build.16:38–19:12 · The host as informed peer 3/10 Global Expansion Strategy and Operational Challenges The host presses on why a young startup would take on the massive complexity of expanding across 37 countries. Ash explains that enterprise customer demand forced international expansion to establish global standards.19:12–22:36 · The host as informed peer 4/10 Valuation Terminology, IPO Timing, and Conclusion The host prompts Ash on being labeled a tech unicorn, leading Ash to reject the hype term in favor of being a hardworking mule. The host later cites industry statistics on the 11-year median timeline for tech IPOs.1:58–5:33 · Guest teaching 5/10 Data Center Blueprint Shifts and Cloud Infrastructure The host asks open-ended questions about how architecture is shifting from traditional on-premise setups to hypercloud models. Peter Levine and Ash Ashatosh explain the hardware commoditization model and reframe the cloud as a paradigm shift rather than a physical location.5:33–9:25 · Guest teaching 6/10 Data Virtualization and Storage Value Proposition Host Michael Copeland asks a perceptive question probing where enterprise value remains if raw storage becomes free. Ash Ashatosh educates the host on the long tail of data lifecycle management, agility, and mobility beyond raw storage capacity.9:25–12:13 · Guest teaching 5/10 Universal Data Needs and Enterprise Sales Pipeline The host inquires about differences in selling to SMBs versus large enterprises. Ash breaks down the four-stage enterprise pipeline, highlighting procurement as the major bottleneck for private startups.12:13–16:38 · Guest teaching 5/10 Enterprise Innovation Constraints and Incumbent Hurdles Host asks why incumbent tech giants struggle to innovate despite massive cash reserves. Peter Levine explains internal budget allocation battles and operating cash constraints that force incumbents to acquire rather than build.16:38–19:12 · Guest teaching 4/10 Global Expansion Strategy and Operational Challenges The host presses on why a young startup would take on the massive complexity of expanding across 37 countries. Ash explains that enterprise customer demand forced international expansion to establish global standards.19:12–22:36 · Guest teaching 4/10 Valuation Terminology, IPO Timing, and Conclusion The host prompts Ash on being labeled a tech unicorn, leading Ash to reject the hype term in favor of being a hardworking mule. The host later cites industry statistics on the 11-year median timeline for tech IPOs.1:58–5:33 · Guest disagreement 1/10 Data Center Blueprint Shifts and Cloud Infrastructure The host asks open-ended questions about how architecture is shifting from traditional on-premise setups to hypercloud models. Peter Levine and Ash Ashatosh explain the hardware commoditization model and reframe the cloud as a paradigm shift rather than a physical location.5:33–9:25 · Guest disagreement 2/10 Data Virtualization and Storage Value Proposition Host Michael Copeland asks a perceptive question probing where enterprise value remains if raw storage becomes free. Ash Ashatosh educates the host on the long tail of data lifecycle management, agility, and mobility beyond raw storage capacity.9:25–12:13 · Guest disagreement 1/10 Universal Data Needs and Enterprise Sales Pipeline The host inquires about differences in selling to SMBs versus large enterprises. Ash breaks down the four-stage enterprise pipeline, highlighting procurement as the major bottleneck for private startups.12:13–16:38 · Guest disagreement 1/10 Enterprise Innovation Constraints and Incumbent Hurdles Host asks why incumbent tech giants struggle to innovate despite massive cash reserves. Peter Levine explains internal budget allocation battles and operating cash constraints that force incumbents to acquire rather than build.16:38–19:12 · Guest disagreement 1/10 Global Expansion Strategy and Operational Challenges The host presses on why a young startup would take on the massive complexity of expanding across 37 countries. Ash explains that enterprise customer demand forced international expansion to establish global standards.19:12–22:36 · Guest disagreement 3/10 Valuation Terminology, IPO Timing, and Conclusion The host prompts Ash on being labeled a tech unicorn, leading Ash to reject the hype term in favor of being a hardworking mule. The host later cites industry statistics on the 11-year median timeline for tech IPOs.1:58–5:33 · The host pushing back 1/10 Data Center Blueprint Shifts and Cloud Infrastructure The host asks open-ended questions about how architecture is shifting from traditional on-premise setups to hypercloud models. Peter Levine and Ash Ashatosh explain the hardware commoditization model and reframe the cloud as a paradigm shift rather than a physical location.5:33–9:25 · The host pushing back 2/10 Data Virtualization and Storage Value Proposition Host Michael Copeland asks a perceptive question probing where enterprise value remains if raw storage becomes free. Ash Ashatosh educates the host on the long tail of data lifecycle management, agility, and mobility beyond raw storage capacity.9:25–12:13 · The host pushing back 1/10 Universal Data Needs and Enterprise Sales Pipeline The host inquires about differences in selling to SMBs versus large enterprises. Ash breaks down the four-stage enterprise pipeline, highlighting procurement as the major bottleneck for private startups.12:13–16:38 · The host pushing back 1/10 Enterprise Innovation Constraints and Incumbent Hurdles Host asks why incumbent tech giants struggle to innovate despite massive cash reserves. Peter Levine explains internal budget allocation battles and operating cash constraints that force incumbents to acquire rather than build.16:38–19:12 · The host pushing back 2/10 Global Expansion Strategy and Operational Challenges The host presses on why a young startup would take on the massive complexity of expanding across 37 countries. Ash explains that enterprise customer demand forced international expansion to establish global standards.19:12–22:36 · The host pushing back 2/10 Valuation Terminology, IPO Timing, and Conclusion The host prompts Ash on being labeled a tech unicorn, leading Ash to reject the hype term in favor of being a hardworking mule. The host later cites industry statistics on the 11-year median timeline for tech IPOs.

speaking balance: gold is the host, purple is the guest (3 minute bins)

0:00 · the host 0% · guest 100%0:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%
Sharpest disagreement ▶ 19:26 Ash rejects the 'Unicorn' moniker

Ash forcefully rejects the standard silicon valley buzzword, stating he hates the term 'unicorn' and would rather build a reliable 'mule' that customers actually love.

Hardest push from the host ▶ 7:42 Host challenges storage value proposition

Host Michael Copeland pushes back on the guests' premise by asking where enterprise value exists if raw storage pricing is racing toward zero.

Biggest teaching moment ▶ 13:51 Peter explains corporate innovation failure

Peter Levine educates the host on corporate finance realities, explaining how internal political fights over operating cash box incumbents out of innovation despite large balance sheets.

The host holds their own ▶ 22:13 Host cites 11-year tech IPO benchmark

Host Michael Copeland demonstrates domain knowledge by introducing the statistical reality that tech companies now take a median of 11 years to reach IPO.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Data Center Blueprint Shifts and Cloud Infrastructure 2511 The host asks open-ended questions about how architecture is shifting from traditional on-premise setups to hypercloud models. Peter Levine and Ash Ashatosh explain the hardware commoditization model and reframe the cloud as a paradigm shift rather than a physical location.
Data Virtualization and Storage Value Proposition 4622 Host Michael Copeland asks a perceptive question probing where enterprise value remains if raw storage becomes free. Ash Ashatosh educates the host on the long tail of data lifecycle management, agility, and mobility beyond raw storage capacity.
Universal Data Needs and Enterprise Sales Pipeline 3511 The host inquires about differences in selling to SMBs versus large enterprises. Ash breaks down the four-stage enterprise pipeline, highlighting procurement as the major bottleneck for private startups.
Enterprise Innovation Constraints and Incumbent Hurdles 3511 Host asks why incumbent tech giants struggle to innovate despite massive cash reserves. Peter Levine explains internal budget allocation battles and operating cash constraints that force incumbents to acquire rather than build.
Global Expansion Strategy and Operational Challenges 3412 The host presses on why a young startup would take on the massive complexity of expanding across 37 countries. Ash explains that enterprise customer demand forced international expansion to establish global standards.
Valuation Terminology, IPO Timing, and Conclusion 4432 The host prompts Ash on being labeled a tech unicorn, leading Ash to reject the hype term in favor of being a hardworking mule. The host later cites industry statistics on the 11-year median timeline for tech IPOs.

Statements from this episode (6)

Assertion Not checkable as stated
Levine: Fidelity and Morgan Stanley defined the legacy data center blueprint
“So, 10 years ago, everyone would look at Fidelity and Morgan Stanley, and those were the prototypes for the data center. And it was, guess what? It was EMC storage, an Oracle database, a Sun Microsystems server, and a Cisco switch. And the entire world copied …”
Peter Levine Jan 2, 2019 ▶ 4:21
Insight
Ashatosh: Data differs from compute because it has a long lifecycle
“Well, we, the, unlike compute, unlike networking, data is a very different beast. Data has a life cycle. Data has a long tail. It doesn't just appear and then disappear.”
Ash Ashatosh Jan 2, 2019 ▶ 8:03
Insight
Levine: Legacy operating units consume corporate budget, killing internal innovation
“When it comes time for budgeting All the existing operating groups say we need X dollars, you expect us to grow a hundred percent a year, therefore we need a hundred percent of the dollars, and after everyone jumps in, there are no cookies left in the jar to g…”
Peter Levine Jan 2, 2019 ▶ 15:10
Insight
Ashatosh: Legacy sales organizations prevent incumbents from selling disruptive software
“It's the two thirds, the stuff under the iceberg, the water, the iceberg under the water, which is marketing it and selling it. They've got a, they became large because they have one of the phenomenal, most of the best marketing and sales organizations that ar…”
Ash Ashatosh Jan 2, 2019 ▶ 16:13
Opinion
Ashatosh: Startups should aim to be useful mules, not hyped unicorns
“It would rather be a mule that my customers love than a unicorn that some investor does, and I think my investors feel the same way too.”
Ash Ashatosh Jan 2, 2019 ▶ 19:30
Insight
Ashatosh: Capital access and buyer validation no longer force tech IPOs
“One was because it was a way to come back and raise some money. That isn't much of an issue these days. And more importantly, it was a way for validation of a company so that the buyers could buy it from those people. That isn't also an issue today.”
Ash Ashatosh Jan 2, 2019 ▶ 20:43
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